--- title: 'Staff Machine Learning Engineer at primer.ai' canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-primer-ai-pasadena-wqr7sykwp0y5' type: 'job' last_seen: '2026-10-16' --- # Staff Machine Learning Engineer at primer.ai - **Company:** primer.ai - **Location:** Pasadena, CA / San Francisco, CA / Washington, DC - **Work type:** remote - **Posted:** 2026-08-04 - **Last confirmed live:** 2026-10-16 - **Apply:** https://job-boards.greenhouse.io/primerai/jobs/7823092003 ## Job description Primer exists to make the world a safer place.  We do this by providing trusted decision-ready AI to the world's most critical organizations.  Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high.  Primer has offices in San Francisco, Pasadena, CA and Arlington, VA.  For more information, please visit https://primer.ai/ Primer exists to make the world a safer place. We build trusted, decision-ready AI for the organizations that can least afford to be wrong: the leaders, operators, and analysts making high-stakes calls about a world that changes faster than anyone can read it. We have offices in San Francisco, Pasadena, CA, and Arlington, VA. Learn more at [primer.ai](https://primer.ai/). The world produces more information every day than any team can read. We build the AI that turns it into a decision you can trust: fast and grounded enough to stake real consequences on. As a Staff Machine Learning Engineer, you’ll own AI-driven products end to end, from the prototype that proves an idea works to the production system the mission depends on. You work fluently across the modern stack: large language models, agentic systems, retrieval, embeddings, fine-tuned models, and the evaluation harnesses that catch them when they drift. You can move fast on an open-ended problem and then harden the result into something reliable at scale, drawing on real distributed-systems experience. You’re energized by what frontier models and agents make newly possible. You reach for them reflexively, including to multiply your own output, and you raise the level of everyone around you as you go. Your technical range matters as much as your judgment about how the pieces fit together. The best work here is designed as part of the whole system, not bolted on beside it, and the engineers with the most impact bring product managers and teammates along with them rather than around them. You’ll partner with product, engineering, and other technical leaders on the hardest version of the problem: putting real AI in the hands of people the moment a decision can’t wait. Role and Responsibilities - How You Will Make an Impact - Set both technical and product direction, making the strategic bets across our LLM, agentic, and NLP systems while shaping how we design AI-driven experiences and set expectations with users. - Design and build the distributed, agentic systems behind our products at company-wide scale: tool-using conversational agents, multi-turn context, retrieval-grounded reasoning, and the orchestration that ties them together. - Turn massive, messy, real-world data into the trustworthy signal agents' reason over: entity recognition and linking, relation extraction, summarization, semantic search, and knowledge-graph generation. - Take models from checkpoint to production: package, deploy, and operate low-latency, high-concurrency inference (Triton, vLLM, GPU-backed serving) that stays fast and reliable under real load. - Build the evals and labeled-data flywheels that steer the work rather than gate it, turning “it feels better” into proof you can act on. - Partner with and influence cross-functional teams to shape the technical roadmap, and drive issues to root cause when quality or operations are on the line. - Raise the engineering bar with better patterns, better practices, and a standard other engineers want to match. Relevant Skills and Experience - BS, MS, or PhD in computer science, a related field, or equivalent practical experience. - 6+ years building production backend software, with a track record of shipping and operating ML-driven functionality. - Mastery of data structures and algorithms, and the judgment to translate user needs into practical solutions. - Hands-on depth with LLMs and agentic systems (prompt and context engineering, tool use, retrieval and RAG) and the broader ML toolkit such as PyTorch, plus experience defining evals to measure and improve quality. - Fluency authoring production APIs in Python (Rust a plus). - High agency and a bias to action in ambiguous, fast-moving problems, plus the curiosity, generosity, and love of teaching that lifts a whole team. Bonus Points - Experience with knowledge graphs, information retrieval at scale, or LLM fine-tuning and post-training. - A pull toward high-stakes, real-world problems where the work actually ships and someone depends on the answer. Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. The company may rescind any offer of employment to an applicant or terminate an employee if the applicant or employee is unable to perform the functions of the position in compliance with applicable government contracts or if an applicant or employee makes a false attestation of compliance. ## What We Offer We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others.  We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users. We care a lot about our work and about the well being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days and 100% paid leave for parents of growing families. We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance. Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. If you need assistance or accommodation due to a disability, you may contact us at info@primer.com. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. ## About primer.ai ## Company Overview - **One-liner**: Primer AI provides mission-ready AI software that helps national security, defense, and intelligence organizations analyze massive amounts of unstructured data to generate traceable, actionable intelligence. - **Entity Type**: Private (Series C, $110M raised in 2021) - **Headquarters**: San Francisco, California, United States (with offices in Pasadena, CA and Washington D.C.) - **Founded**: 2015 - **Founders**: Not publicly available ## Core Business - **Primary Industry**: National security / defense / intelligence – AI-powered data analysis - **Target Customers**: Intelligence Community, Department of Defense, federal civilian agencies (B2G / mission-critical) - **Mission Statement**: "Accelerate human understanding, turning unlimited amounts of data into actionable intelligence you can use to make decisions faster and with more confidence." [primer.ai](https://primer.ai/company/about) ## Products & Services - **[Primer API](https://primer.ai/)**: Embed Primer’s analytic capabilities (advanced search, extraction, AI-assisted analysis, claim-level verification, source-grounded summaries) directly into existing systems and workflows. Type: API / SaaS integration. - **[Primer Enterprise](https://www.primer.ai/technology)**: Secure AI platform for analysts in IC, Defense, and civilian agencies. Ingests fragmented reports, proprietary data, and open-source information; outputs structured, traceable insight with fine-grained access control. Type: On-premise / air-gapped deployable platform. - **[Primer Command](https://primer.ai/)**: AI-powered monitoring platform for real-time visibility into global news and social media. Tracks narratives, emerging threats, and shifts in the information environment. Type: SaaS monitoring tool. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Annual revenue of **$26.5M** (estimated, from LinkedIn) | Total funding **$237M** across 7 rounds [linkedin.com](https://www.linkedin.com/company/primer-ai) - **Notable Investors/Partners**: Lux Capital (led Series B), DCVC (led venture round), Addition (Lee Fixel), Peter Tague, and others including USIT. Federal Advisory Board includes retired senior military and intelligence leaders (e.g., former Director DIA, former Deputy Commander USSOCOM, former DDNI). [primer.ai](https://primer.ai/company/about) - **Growth Signals**: - Employees: 93 as of mid-2026 (down ~9.5% YoY) - International presence: offices/satellite in Singapore, Germany, UK, New Zealand - Acquired Yonder (2022) and LightTag (2022) to strengthen capabilities - Active job postings in Germany, Singapore, and US (Forward Deployed Engineer, Technical Delivery Manager) ## Competitive Advantages - **Deployment-first design**: Purpose-built for secure enclaves, air-gapped networks, tactical edge, and DDIL environments – not an afterthought. - **Multi-model architecture**: Combines specialized ML models (embedding, fine-tuned LMs, classifiers) with external LLMs, avoiding vendor lock-in and reducing computational cost. - **Traceable outputs**: Every analytic statement is source-grounded, with claim-level verification and human-in-the-loop (HITL) for defensible decisions. - **Trusted by mission operators**: Advisory board features retired senior military/intelligence officers; deployed inside IC and DoD for years. - **Unstructured data focus**: Precomputes entities, claims, and relationships from messy real-world text, enabling fast search and analysis without reprocessing. ## Strategic Focus - **Deepen government partnerships**: Continue embedding AI into intelligence, defense, and civilian agency workflows. - **International expansion**: Hiring forward deployed engineers in Germany and Singapore to support global missions. - **API-first growth**: Allow other critical systems to integrate Primer’s capabilities, making AI analysis a plug-in rather than a standalone product. - **Continued investment in trustworthy AI**: Emphasize traceability, access controls, and human oversight to maintain customer trust. ## Why Work Here - **Culture highlights**: “Mission first,” “Take ownership,” “Constantly curious,” and “Always human.” Values autonomy, diversity of experience, and risk-taking. [primer.ai](https://primer.ai/company/careers) - **Work policy**: Flexible time off (unlimited), 12 paid holidays, home-office stipend for all new hires, mobile/internet reimbursement. Offices in SF, Pasadena, and DC – roles may be hybrid or remote-eligible depending on clearance needs. - **Parental leave**: Birthing parents get 18 weeks fully paid; non-birthing parents get 8 weeks. Also covers IVF and egg freezing. [primer.ai](https://primer.ai/company/careers) - **Compensation**: Competitive salaries plus equity; 401K; premium medical, dental, vision, life insurance; wellness and mental health support. - **Engineering culture**: Engineers work on high-stakes, real-world AI deployment in national security. Tools include multi-model orchestration, fine-grained access control, and deployment in secure environments. “Move fast and make a difference.” - **Team diversity**: Employee resource groups (Primer Veterans, Women of Primer, Pets of Primer); weekly win celebrations; interest groups. ## Sources 1. [primer.ai](https://primer.ai/) – Main website (product overview, mission) 2. [primer.ai/company/about](https://primer.ai/company/about) – Leadership, board, advisory members, office locations 3. [primer.ai/company/careers](https://primer.ai/company/careers) – Culture, benefits, values, open roles 4. [primer.ai/technology](https://www.primer.ai/technology) – Technology deep-dive: multi-model architecture, claims extraction, NER, access control 5. [linkedin.com/company/primer-ai](https://www.linkedin.com/company/primer-ai) – Employee count, revenue estimate, funding history, salary ranges, alumni ## Other roles at primer.ai - [Senior Sales Engineer](https://feeny.ai/job/senior-sales-engineer-primer-ai-pasadena-4bw0kzh3kmby) — Pasadena, CA / San Francisco, CA / Washington, DC - [Staff Security Engineer](https://feeny.ai/job/staff-security-engineer-primer-ai-pasadena-bpt6bfc1t5ja) — Pasadena, CA / San Francisco, CA / Washington, DC - [Senior Forward Deployed Engineer, Germany](https://feeny.ai/job/senior-forward-deployed-engineer-germany-primer-ai-remote-pzqgwr8bw8t6) - [Senior Technical Delivery Manager](https://feeny.ai/job/senior-technical-delivery-manager-primer-ai-san-francisco-acxbvc1bcv69) — San Francisco, CA / Washington, DC - [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-altana-boston-8d9qd49fzswr) — Boston, MA / Brooklyn, NY / San Francisco, CA / Washington, DC - [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-pinterest-san-francisco-df8dey3j8s1n) — San Francisco, CA / United States - [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-bjak-seoul-qnc18g53acjq) — Seoul, South Korea - [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-bjak-united-kingdom-67z9amw0nx19) — United Kingdom - [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-bjak-united-states-xjxdawgaps0j) — United States - [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-bjak-indonesia-535cspp4sb0k) — Indonesia