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<h3>Job Description</h3>
Job DescriptionSenior Relativity Senior Systems AdministratorEmployment Type: Full TimeDepartment: Legal/IT We are seeking a Senior Relativity Sr. Systems Administrator to join our team! You will handle a variety of projects to support and improve the organization’s network systems. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Design and implement Automated Litigation Support (ALS) software solutions primarily consisting of COTS tools such as Relativity, iPro, CaseMap, etc.- Maintain ALS system infrastructure (storage, compute, network) leveraging on-premise and AWS cloud platforms.- Maintain external access to ALS tools including identity and access management for external stakeholders. For example, expert witnesses, US Attorneys, IRS collaborators, etc.- Perform system maintenance including backups, restore operations, application and platform software updates, performance tuning, system monitoring, etc.- Produce and update system diagrams, administrator guides and end user documentation. Documentation must be updated at least semi-annually- Provide weekly reports on system health, performance, completed projects and planned activities.- Selectee will work with the IT leadership supporting ALS applications and infrastructure. Qualifications:- Undergraduate degree (preferably in the computer science or management information/technology disciplines) OR equivalent years of experience will be considered/accepted in lieu of degree.- At least 5 years of hands-on, directly applicable experience actually doing the work of implementing the kinds of systems being set up - e.g., UNIX, Windows, Network Storage Solutions, etc. - will usually be expected. At least 5 years of these years of experience must be in litigation support applications and application software, e.g., Oracle, Relativity, iPro, Concordance, Trial Director, other web hosting platforms, etc.- Must have actually done the work of designing, obtaining equipment and software, installing, integrating, testing, etc., in the environment required.- Must have experience with large systems with a complex mix of operating systems and functions.- At least one year of experience setting up large-scale database management applications, using the applicable database management software.- Experience in storage technology planning, performance capacity planning and modeling, applications planning, human factors issues, distributed processing, and business process analysis.- Requires in-depth knowledge of the Government's IT environments, including office automation networks and PC and server-based databases and applications.- Requires in-depth knowledge of the Government's security requirements.- Excellent written and oral communication skills required.- Must have experience with Relativity.- Must have experience with SQL server version 2012 and later.- Must be able to obtain a favorably adjudicated Public Trust Clearance Our commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our clients’ specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of meaningful government innovation!Explore additional job opportunities with CGS on our Job Board: <a href="https://cgsfederal.com/join-our-team/For" target="_blank">https://cgsfederal.com/join-our-team/For</a> more information about CGS please visit: <a href="https://www.cgsfederal.com" target="_blank">https://www.cgsfederal.com</a> or contact:Email:&nbsp;<a href="mailto:info@cgsfederal.com" target="_blank">info@cgsfederal.com</a> #CJ
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Relativity Senior Systems Administrator

<h3>Job Description</h3>
Job DescriptionAbout Lumafield:&nbsp; Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the role:&nbsp; As an Embedded Software Engineer at Lumafield, you will be a key contributor to the systems group responsible for the embedded software that powers our industrial CT scanners. You'll work across the software stack—from low-level firmware on microcontrollers to Linux-based applications that interface with sensors, motor controls, and the cloud. This role is ideal for candidates looking to grow their embedded systems expertise in a high-impact environment. While prior experience is important, we value curiosity, practical engineering ability, and a commitment to building robust systems. You'll also play an important part in testing and validation, helping ensure that our embedded systems meet stringent reliability and quality standards expected in both R&amp;D and manufacturing contexts. This role is located in Lumafield’s Cambridge, MA office.&nbsp; You may be required to travel occasionally to between the two offices, and visit our factory in Everett, MA.What You'll Do:
<ul>
<li>Prototype and integrate new hardware peripherals using your driver development and debugging skills</li>
<li>Develop and maintain automated QA test infrastructure to validate hardware-software integration</li>
<li>Participate in manual validation and debugging using lab tools (oscilloscope, soldering, harness building)</li>
<li>Collaborate closely with electrical, mechanical, and software teams to ensure end-to-end system reliability</li>
<li>Ship new features written in Python and C to our growing fleet of lab and factory CT scanners</li>
<li>Build and deploy software and operating system components to embedded devices</li>
<li>Write low-level firmware in C for STM32 microcontrollers, including motor and sensor interfaces</li>
<li>Support field deployments and help resolve scanner performance issues through test-driven problem solving</li>
</ul>
About You:
<ul>
<li>Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or similar</li>
<li>1–2 years of experience in embedded systems, firmware, or systems software (including internships)</li>
<li>Proficiency in Python and C</li>
<li>Strong grasp of software engineering fundamentals (version control, testing, modular design, PR reviews)</li>
<li>Strong familiarity with Linux: command-line usage, system debug, and configuration</li>
<li>Interest in QA practices, test development, and system validation techniques</li>
<li>Excellent communication and collaboration skills; able to work cross-functionally</li>
</ul>
Bonus Points For:
<ul>
<li>Experience with Agile development practices</li>
<li>Familiarity with OTA (Over-the-Air) firmware update systems</li>
<li>Skills in mechatronics, mechanical prototyping, or electronics assembly</li>
<li>Knowledge of image processing pipelines or image acquisition system</li>
</ul>
The salary range listed here represents the anticipated low and high ends of the base salary. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location, experience, and performance. All full-time employees receive an equity grant. Lumafield offers both competitive cash and equity compensation, as well as a health &amp; wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!&nbsp; Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!&nbsp;&nbsp; In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.&nbsp; Reach out if you want to be a part of what we are building.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Embedded Software Engineer

<h3>Job Description</h3>
Job DescriptionAt BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. The Embedded Software Engineer for Airborne Software will apply their knowledge of RTCA DO-178C, best practices for real-time safety-critical embedded software development, and embedded C skill set to specify, architect, design, implement and integrate the embedded software for BETA’s airborne systems. The ideal candidate will have a broad knowledge of embedded software development, from bare-metal board bring-up and understanding of microcontroller timing and execution characteristics to high-level software specification and design methods and techniques. The embedded software engineer is responsible for developing robust and reliable software to achieve the highest level of safety-criticality in the industry.How you will contribute to revolutionizing electric aviation:
<ul>
<li>Analyze system requirements allocated to software for correctness, feasibility, and appropriateness from an embedded software perspective</li>
<li>Develop software high-level requirements to specify the functionality and characteristics of airborne software</li>
<li>Architect and design the embedded software, considering hardware constraints, design constraints, and available resources to satisfy the software high-level requirements, and specify software low-level requirements</li>
<li>Develop embedded software in the C and Assembly programming languages for ARM microcontroller targets</li>
<li>Integrate the software with other software and the target hardware</li>
<li>Assess, measure, troubleshoot, and resolve issues with software execution and characteristics such as timing and performance</li>
<li>Perform peer reviews of other team member's contributions to the software development project</li>
<li>Inform the software verification team of the appropriate testing and analysis of the embedded</li>
</ul>
Minimum Qualifications:
<ul>
<li>BS in Computer Engineering, Electrical Engineering, Computer Science, or a related degree from an accredited university</li>
<li>Minimum 3 years experience in real-time embedded software development</li>
<li>Requirements for engineering and software architecture/design experience</li>
<li>Proficiency with the C programming language</li>
<li>Knowledge of Texas Instruments Hercules and/or STM ARM microcontrollers, or equivalent</li>
<li>Comfortable reading electrical schematics, technical documentation, reference manuals, and datasheets</li>
<li>Experience with electronics lab equipment such as programmable power supplies, signal generators, oscilloscopes, and bus analyzers</li>
<li>Knowledge and awareness of the activities and outputs required for DO-178C compliance</li>
<li>Good team communication and collaboration skills</li>
<li>Ability to work independently and as a member of an integrated team</li>
<li>Candidates are encouraged to apply even if they don’t meet all minimum qualifications</li>
</ul>
Above and Beyond Qualifications:
<ul>
<li>Experience with the Texas Instruments TMS570 ARM microcontroller</li>
<li>Experience with the Lauterbach TRACE32 debug/instruction trace system</li>
<li>Experience with GNU GCC ARM embedded toolchain and Texas Instruments Code Composer Studio</li>
<li>Experience with the Polarion ALM life cycle data management system</li>
<li>Experience with embedded software for electric motor control, battery management systems, and/or flight control systems</li>
<li>Knowledge of and experience with communications interfaces and devices such as SPI, I2C, CAN, ARINC 429, Analog-to-Digital Converters, Direct Memory Access controllers, and temperature, voltage, and current sensors</li>
<li>Familiarity with RTCA DO-330 tool qualification objectives, activities, and outputs</li>
<li>Familiarity with RTCA DO-331 model-based development objectives, activities, and outputs</li>
</ul>
Physical Demands and Work Environment:
<ul>
<li>Based in South Burlington, VT; on-site presence required to support labs, rigs, and integrated testing. Occasional travel to test sites and suppliers as needed.</li>
</ul>
The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.Build electric airplanes with us! We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Embedded Software Engineer - Flight Controls \u007C Sensors & Systems

<h3>Job Description</h3>
Job DescriptionArcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there. For more information, visit&nbsp;arcadia.io. Why This Role Is Important to Arcadia The Application Enablement Analyst will join the Technical Operations team of a healthcare data and analytics software company. This role reports to the Application Enablement Manager and will involve a combination of client-facing, process improvement, and technical responsibilities. As a rapidly growing organization, we recognize that agility and scalability are critical to our success. Our Application Enablement team has the privilege of furthering these principles by both defining and implementing improvements across our product suite. We are a team of healthcare workflow enthusiasts and operational problem solvers who thrive on tackling some of the most challenging problems in healthcare. Our analysts are empowered to think creatively about how we deliver value to our clients and collaboratively drive improvements across their portfolio of 2-4 products. This specific role is deeply consultative in nature, partnering with clients to understand their value-based care reporting goals and guiding them toward holistic strategies that span multiple Arcadia Analytics tools. Our analyst will translate complex data into actionable insights that empower both payers and providers to improve outcomes, enhance performance, and achieve measurable impacts across their healthcare programs. Candidates must have hands-on experience creating and analyzing value-based care reports and contributing to decision-making on strategies to optimize performance under value-based contracts, including initiatives focused on quality improvement, financial outcomes, and operational efficiency. This role is ideal for individuals who have driven value-based care strategy and reporting within their own organization and are now eager to apply that expertise in a consultative capacity—advising both payer and provider organizations on how to maximize success in this evolving landscape. What Success Looks LikeIn 3 months- Understand the basic structure of each product in your portfolio; this includes all key technical steps involved in product implementation, the value proposition each product holds for our customers, and the range of advanced configuration options we offer - Build relationships with the Arcadia resources who support product implementation; this includes Product Managers and Analysts, Implementation and Account Managers, and Data Operations Managers- Manage tickets and projects in our Jira &amp; Confluence platforms - Begin engaging with clients around key product functionalities and decisions - Implement basic product configuration changes using SQL and/or JSON - Draft documentation around product use cases, release notes, configuration options, workflows, and stakeholders&nbsp;&nbsp;&nbsp;&nbsp; In 6 months- Lead implementations for the products in your portfolio alongside Arcadia’s Implementation Managers - Meaningfully advise customers on a holistic approach to achieving their value-based care and other reporting goals via Arcadia’s analytics suite - Own client conversations around technical product strategy and configuration options - Advise customers on how data ingestion and application configuration decisions affect their analytics - Assist with basic issue triage and enhancement requests related to your products - Own management of the implementation roadmap for each product in your portfolio - Advise on Arcadia’s product development roadmap based on client feedback and internal observations - Serve as a primary point of contact for your product and support questions from internal customer and technical teams as needed- Independently apply basic customer configurations using SQL and/or JSON&nbsp;&nbsp; In 12 months- Serve as a designated SME for all products in your portfolio- Serve as an internal subject matter expert on Arcadia’s data pipelines and reporting suite, championing best practices and guiding health systems and payers to maximize their use of Arcadia’s platform- Confidently consult on strategies for achieving success in value-based care contracting via Arcadia’s reporting suite and independently tailor product rollout plans to your clients’ individual workflows and priorities- Propose and drive operational improvements both within and across product teams&nbsp;What You'll Be Doing
<ul>
<li>Acting as a designated subject matter expert for multiple Arcadia products in Arcadia’s reporting suite (for example, Foundry, Vista, Network Modeler, Contract IQ) </li>
<li>Collaborating directly with healthcare clients in a consultative role to understand their data challenges and translate complex insights into clear, actionable value-based care solutions</li>
<li>Advising on optimal workflows and configurations in Arcadia’s reporting tools based on a client’s existing contracting priorities and processes </li>
<li>Balancing multiple product implementations simultaneously and engaging technical support from across the organization as needed </li>
<li>Driving the implementation of basic UI, SQL, and JSON-based configurations</li>
<li>Designing and maintaining product implementation documentation suitable for both internal and client use </li>
<li>Designing and implementing client trainings regarding holistic use of Arcadia’s reporting suite</li>
<li>Periodically assisting with basic issue trouble shooting for in-scope reporting applications &nbsp;</li>
<li>Serving as a key liaison between the Product and Customer Management teams and influencing new analytics capabilities</li>
<li>Supporting SDLC activities for multiple products and partnering directly with engineering leads to refine and deconstruct work </li>
<li>Supporting Technical Operations leadership in their efforts to redesign Arcadia’s approach to product implementations </li>
<li>Understanding how Arcadia’s clinical and claims data ecosystem, products, analytics models, and business strategy improve patient outcomes and reduce cost of care across the country</li>
</ul>
What You'll Bring
<ul>
<li>A bachelor’s degree in business, science, technology, or healthcare </li>
<li>5+ years of experience working with healthcare data with deep expertise in claims and or clinical data</li>
<li>2+ years working experience in technology implementation or product management</li>
<li>2+ years of experience in value based care</li>
<li>Experience working directly with customers in a product implementation or management capacity</li>
<li>Experience working in BI tools with a preference for Amazon Quicksight</li>
<li>Proficiency with SQL - This role requires a comprehensive knowledge of SQL and the ideal candidate should have a proven track record of working with complex databases</li>
<li>Excellent verbal and written communication skills, with a specific ability to discuss complex product concepts with both technical and non-technical stakeholders </li>
<li>Strong analytical and problem solving skills</li>
<li>Willingness to incorporate AI tools into daily work to improve efficiency and outcomes</li>
<li>Eagerness to learn, a detail-oriented mindset, and a creative approach to problem solving</li>
<li>General ability to ramp up quickly on technical topics&nbsp;&nbsp;</li>
</ul>
Would Love for You to Have
<ul>
<li>Experience using collaboration tools such as Jira and Confluence</li>
<li>Experience using Github or Amazon S3</li>
<li>A positive attitude and willingness to adapt to a fast-paced environment&nbsp;</li>
</ul>
What You'll Get
<ul>
<li>The opportunity to: Redesign the way in which Arcadia configures and implements its products; Work alongside the healthcare leaders and innovators that make up Arcadia’s diverse client base; Own the design and implementation of technical configurations across products and clients </li>
<li>Join a mission-driven company that is transforming the healthcare industry and changing the way patients receive care</li>
<li>A supportive and remote work-friendly company with personality and heart</li>
<li>Excellent benefits including unlimited Flexible Time Off (~22 day company average)</li>
</ul>
About ArcadiaArcadia.io&nbsp;helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health.&nbsp;We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time.&nbsp;We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our&nbsp;website. Protect YourselfIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.&nbsp; For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Application Enablement Analyst

<h3>Job Description</h3>
Job DescriptioneDiscovery Technical AdvisorEmployment Type: Full-Time, Executive-LevelDepartment: Legal &nbsp;&nbsp;&nbsp;CGS is seeking a dedicated eDiscovery Technical Advisor to join a fast-paced and hard-working team to assist with any legal accounts. As an eDiscovery Technical Advisor, you will play a key role in supporting various aspects of the company's portfolio.&nbsp;&nbsp;CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation,&nbsp;appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.&nbsp;Skills and attributes for success:-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; contractor shall provide expertise in identifying, preserving, collecting, processing, and producing ESI in support of civil and criminal litigation, select FOIA requests, Congressional requests and other inquiries;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall provide expertise specifically in criminal discovery support to include identifying, preserving, collecting, processing, and producing ESI;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall serve as the expert technical user of the available electronic discovery applications, which include Enterprise Vault, Discovery Accelerator, Legal Hold Management Tool (LHMT) and the Veritas eDiscovery Platform;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall work with the litigation team to develop a discovery plan which documents the electronic discovery search parameters (e.g., date range, key words and custodians) for a particular case;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall use electronic discovery software applications to collect data from various FBI storage locations on FBI IT systems (e.g., MS-Exchange servers, shared drives, desktops, text and instant messages) in accordance with the discovery plan, to support OGC attorneys, paralegal specialists, Information Management Division personnel and case agents who are responsible for responding to pre-trial discovery motions, requests, subpoenas related to civil and criminal matters, congressional inquiries, FOIA requests and other inquiries;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall analyze search/collection results for data gaps;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall administer data inputs into an electronic discovery review platform (i.e. eDP), which includes, but is not limited to: creating cases; adding collected source data;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; handling user access rights; uploading data logs; de-duplicating collected source data; identifying data gaps; merging/verifying data; and assuring electronic discovery production quality in Bates numbering and load file creation;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall coordinate electronic discovery collection results with FBI units responsible for processing discovery for review/redaction/release;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall adhere to polices and technical procedures for use of available electronic discovery software applications and provide agency attorneys, paralegals, and other users of the FBI's electronic discovery review platform with training and other technical assistance;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall provide information and advise on instructions regarding the FBI's process for identifying, preserving, collecting, analyzing, and organizing ESI, including the use of electronic discovery software programs;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall provide ad hoc support to end users of the electronic discovery review platform repository;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall document electronic discovery plans and procedures for each individual case;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall facilitate requests for legal hold implementation, amendment, and/or lift that are submitted by various requesters in LHMT;&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contractor shall provide eDiscovery collections on criminal cases.&nbsp;&nbsp;Qualifications:- &nbsp; 5 (five) years of eDiscovery/litigation support experience with a focus on client solutions.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3 (three) years of progressive more responsible experience on major lit support projects.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2 years in Relativity, beyond document review coding.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellent communication, presentation, and interpersonal skills with both eDiscovery technical teams and non-technical business leaders and team players.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to work in a fast-paced environment and agile work environment.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience and familiarity with eDiscovery Services covering all realms of the EDRM (File to Trial).-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Must be a U.S. Citizen.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The ability to obtain a U.S. Government security clearance (active clearance preferred).-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; BS/BA degree or equivalent work experience (JD highly preferred).&nbsp;Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.&nbsp;For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.&nbsp;We care about our employees. Therefore, we offer a comprehensive benefits package.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Health, Dental, and Vision-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Life Insurance-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 401k-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Flexible Spending Account (Health, Dependent Care, and Commuter)-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Paid Time Off and Observance of State/Federal Holidays&nbsp;Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.&nbsp;Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board:<a href="https://cgsfederal.com/join-our-team/For" target="_blank">https://cgsfederal.com/join-our-team/For</a> more information about CGS please visit: <a href="https://www.cgsfederal.com" target="_blank">https://www.cgsfederal.com</a> or contact:Phone:&nbsp;+1 (888) 680-5916Email:&nbsp;<a href="mailto:info@cgsfederal.com" target="_blank">info@cgsfederal.com</a> #CJ
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

eDiscovery Technical Advisor (Top Secret Clearance Required)

<h3>Job Description</h3>
Job DescriptionThe Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions.In this role, you will:
<ul>
<li>Define and execute the ML roadmap for synthetic data generation using generative AI, evolving both model and infrastructure to meet the training and evaluation needs of Zoox’s autonomous driving solution.</li>
<li>Lead the development of generative models from small scale objects to complete scenarios, from research all the way to deployment.</li>
<li>Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.</li>
<li>Collaborate with Perception, Planning, Safety, Simulation, and Systems teams to integrate your models into our offline pipelines.</li>
<li>Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system</li>
</ul>
Qualifications:
<ul>
<li>MS or PhD in Computer Science, Machine Learning, or related technical field</li>
<li>Demonstrated experience architecting, training and deploying large models such as diffusion, flow matching, GANs and/or NeRFs.</li>
<li>Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation</li>
<li>Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects</li>
<li>Experience training with large scale datasets (e.g. tens of millions of videos)</li>
</ul>
Bonus Qualifications:
<ul>
<li>Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)</li>
<li>Experience with autonomous robotics systems</li>
<li>Experience implementing 4D Gaussian Splatting</li>
</ul>
Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior/ Staff Machine Learning Engineer - Generative AI

<h3>Job Description</h3>
Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are looking for a highly skilled Senior Software Engineer to join our MLOps team, focusing on the development and optimization of ML cloud infrastructure. In this role, you will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models. Your work will be at the heart of bringing advanced AI solutions into production, ensuring they are reliable, scalable, and ready to drive value across WHOOP.RESPONSIBILITIES:
<ul>
<li>Design, develop, and maintain cloud-based infrastructure to support the deployment and scaling of machine learning models. Implement automated pipelines for continuous integration and continuous deployment (CI/CD) of ML models, ensuring seamless transitions from development to production environments.</li>
<li>Collaborate closely with Data Scientists and AI teams to understand model requirements and facilitate the transition from prototype to production.&nbsp;</li>
<li>Develop APIs, microservices, and other components necessary to integrate ML models into existing systems, enabling real-time inference and decision-making.</li>
<li>Leverage cloud services to optimize the deployment and performance of machine learning models and associated infrastructure. Utilize services such as AWS SageMaker, Lambda, and ECS to build scalable, cost-effective solutions that support real-time ML/AI workloads.</li>
<li>Monitor and optimize the performance of ML models in production, addressing issues related to latency, scalability, and resource utilization.</li>
<li>Act as a key technical partner to Data Scientists, providing guidance on best practices for model deployment, versioning, and infrastructure design.</li>
<li>Support AI teams by troubleshooting and resolving technical challenges related to model deployment and performance in production.</li>
<li>Stay up-to-date with the latest advancements in ML infrastructure, cloud computing, and AI deployment strategies. Proactively suggest and implement improvements to enhance the efficiency, reliability, and scalability of ML operations within the organization.</li>
</ul>
QUALIFICATIONS:
<ul>
<li>Bachelor’s Degree: A degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience.</li>
<li>5+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments.</li>
<li>Deep expertise in AWS services, including but not limited to SageMaker, Lambda, ECS, S3, and IAM, with the ability to design and optimize cloud-based ML infrastructure.</li>
<li>Strong programming skills in languages such as Python or Java, with a focus on building robust, maintainable code.</li>
<li>Proven experience in productionalizing ML models, including building APIs and services that enable real-time inference.</li>
<li>Expertise in designing scalable, resilient cloud architectures that support large-scale ML operations.Strong understanding of microservices, distributed systems, and the challenges of deploying and maintaining ML models in production environments.</li>
<li>Excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross-functional stakeholders.</li>
<li>Agile Methodologies: Experience working in Agile/Scrum environments, with a focus on rapid iteration and continuous improvement.</li>
</ul>
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in&nbsp;E-verify&nbsp;to determine employment eligibility.&nbsp; It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.&nbsp;In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Senior Software Engineer (ML Operations)

<h3>Job Description</h3>
Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will:
<ul>
<li>Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment.</li>
<li>Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex.</li>
<li>Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization.</li>
<li>Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery.</li>
<li>Develop conversational and Q&amp;A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language.</li>
<li>Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times. </li>
<li>Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact. </li>
<li>Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly.</li>
<li>Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI.</li>
<li>Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.</li>
</ul>
You Have:
<ul>
<li>MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science).</li>
<li>Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures.</li>
<li>Proficiency in prompt engineering, RLHF and model optimization.</li>
<li>Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS).</li>
<li>Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.).</li>
<li>Experience working with large datasets and SQL; ability to write scalable, production-quality code.</li>
<li>Excellent communication and collaboration skills to partner across technical and business teams.</li>
<li>A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.</li>
</ul>
Compensation:
<ul>
<li>Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.</li>
<li>This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.</li>
<li>Base Salary Range: $175,000 - $270,000</li>
</ul>
What We Offer:
<ul>
<li>Medical/Dental/Vision Insurance&nbsp;</li>
<li>401(k) Retirement Savings Plan</li>
<li>HSA or FSA eligibility</li>
<li>Long and Short-Term Disability Insurance</li>
<li>Mental Health Benefits</li>
<li>Fitness Reimbursement Program</li>
<li>25% employee discount &amp; FAM Membership</li>
<li>Flexible PTO</li>
<li>Group Life Insurance</li>
<li>EAP through AllOne Health (formerly Carebridge)</li>
</ul>
At Gopuff, we know that life can be unpredictable.&nbsp;Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes. And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world. Like what you’re hearing? Then join us on Team Blue. #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Principal Data Scientist - Consumer Personalization & Generative AI

<h3>Job Description</h3>
Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit <a href="http://www.shield.ai" target="_blank">www.shield.ai</a>. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.&nbsp; This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards.&nbsp; Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defenseWhat you'll do:
<ul>
<li>Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.</li>
<li>High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.</li>
<li>Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.</li>
<li>Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.</li>
<li>Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.</li>
<li>Deployment &amp; Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.</li>
<li>Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.</li>
<li>R&amp;D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.</li>
<li>Program Support &amp; Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.</li>
<li>Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).</li>
</ul>
Required Qualifications:
<ul>
<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>
<li>Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.</li>
<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).</li>
<li>Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.&nbsp;</li>
<li>Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)&nbsp;</li>
<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.</li>
<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.</li>
<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.</li>
<li>Ability to obtain a SECRET clearance.&nbsp;</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience applying ML/RL techniques in autonomy pipelines.</li>
<li>Background in collaborative behaviors, swarm robotics, or distributed decision-making.</li>
<li>Familiarity with tactical behaviors for unmanned systems in DoD or government programs.</li>
<li>Work on behaviors applicable across air, ground, and maritime vehicles.</li>
<li>Hands-on experience supporting flight demos or live exercises.</li>
<li>Experience with UCI and OMS Standards</li>
</ul>
#LI-ED1#LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to&nbsp;equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.&nbsp;
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Staff Engineer, Autonomy - Tactical Behaviors (R4073)

<h3>Job Description</h3>
Job Description
Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy.
Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better.
Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started.
If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here.
About the Role
Trellis is hiring a Senior Data Scientist to drive exploratory analysis and model development for data-scarce and emerging problems in our Real-Time Bidding (RTB) and pricing systems. You'll focus on understanding the limits and potential of smaller datasets – helping the team quickly assess which projects are viable, what data needs to be improved, and where machine learning can scale impact.
You'll design and conduct exploratory studies, create transparent analytical reports, and build research-grade models that inform business decisions and evolve into production-ready systems. This role sits at the intersection of analytics, modeling, and product – collaborating closely with ML engineers, software engineers, and BI to turn ambiguous problems into scalable solutions.
This is a fully remote position, based in the US or Canada, reporting directly to the Head of RTB, Thomas Boquet.
We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. For this role, the base salary range is $210,000-225,000. We review compensation twice a year to make sure we're staying competitive and rewarding our team's contributions.
What You'll Do
<ul>
<li>Perform deep exploratory analysis to assess project feasibility and uncover data quality or coverage issues.</li>
<li>Build clear, reproducible Jupyter or Colab notebooks that communicate insights visually and narratively.</li>
<li>Partner with product and engineering to understand data generation processes and identify gaps.</li>
<li>Develop statistical and ML models (scikit-learn, statsmodels, TensorFlow, PyTorch) for pricing and bidding use cases.</li>
<li>Prototype predictive models that can be scaled by the ML engineering team into production systems.</li>
<li>Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows.</li>
<li>Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively.</li>
<li>Contribute to a culture of analytical rigor, documentation, and rapid experimentation.</li>
</ul>
What You'll Need
<ul>
<li>5+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising.</li>
<li>Strong statistical foundation with hands-on experience using scikit-learn, statsmodels, TensorFlow, or PyTorch.</li>
<li>Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualization.</li>
<li>Experience using Vertex AI, SageMaker, or other ML lifecycle platforms for experimentation and model deployment.</li>
<li>Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.).</li>
<li>Deep curiosity about how data is created, transformed, and used to drive business outcomes. Pragmatic mindset — balancing research depth with real-world impact and iteration speed.</li>
</ul>
Why Trellis? Because life's too short for boring jobs.
We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast.
Here's what makes Trellis an incredible place to build your career:
<ul>
<li>
✨ A flat, transparent culture where your voice actually matters
</li>
<li>
🚀 Ground-floor opportunity with room to stretch and grow 
</li>
<li>
&amp;#x1F4B0; Compensation at the 75th+ percentile 
</li>
<li>
🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is)
</li>
<li>
🎉 Quarterly team events that keep our fully remote culture connected and fun
</li>
</ul>
And yes, the perks are pretty great too:
<ul>
<li>
🌴 Flexible vacation (seriously, we want you to take it)
</li>
<li>
🩺 100% employer-paid health insurance for employees (65% for dependents)
</li>
<li>
&amp;#x1F4BB; Home office budget to set up your perfect workspace
</li>
<li>🧘🏼️‍♂️ Wellness events throughout the year, because we believe in investing in the full human, not just the employee</li>
<li>
💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future
</li>
<li>🐣 Paid parental leave</li>
</ul>
👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.

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