{"id":41732,"url":"https://alion.io/job/code-metal-applied-ai-research-engineer","title":"Applied AI Research Engineer","company":{"id":716539,"name":"Code Metal","domain":"codemetal.ai","url":"https://alion.io/company/codemetal","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":223000,"max":266800,"currency":"USD","period":"year","gross":null,"usd_annual":266800},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-07-02T02:42:08Z","employer_posted_date":"2026-07-02","last_verified_at":"2026-10-18T04:54:44Z","board_verified":true,"closed_at":null,"days_open":108,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":108},"description":"About Code Metal\nCode Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works - it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others. \nLearn more at codemetal.ai.\nAbout the Role\nWe're building next-generation AI systems that help military planners explore, compare, and evaluate operational courses of action. Our work combines frontier language models, simulation, planning, and verification into human-in-the-loop decision-support systems for defense applications. As an Applied AI Research Engineer, you’ll focus on human machine teaming and agentic AI to build systems that allow warfighters, planners, analysts, and decision-makers to explore operational choices with speed, confidence, and control.\nThis role focuses on designing and building agentic AI systems - not chatbots. You'll develop multi-agent workflows, fine-tune and evaluate models, build retrieval pipelines, experiment with post-training techniques, and integrate AI with simulation and planning software. You'll work closely with AI researchers, software engineers, and defense experts to turn research ideas into production-ready capabilities. The goal is to make complex planning, wargaming, adjudication, and analysis workflows faster, more explainable, and more trustworthy.\nResearch Areas of Interest\nAn incomplete list of ongoing and near-term directions:\nHuman-machine teaming for AI-assisted course-of-action development, comparison, critique, refinement, and operational decision support\n\nAgentic planning systems that integrate language models with simulation, doctrine retrieval, external tools, structured outputs, and deterministic verification\n\nAdapting and optimizing foundation models through fine-tuning, post-training, distillation, reinforcement learning, and rigorous evaluation for planning and decision-support tasks\n\nMulti-agent AI systems for Red/Blue planning, control-cell support, adjudication, branch-and-sequel analysis, and collaborative planning workflows\n\nBuilding reliable AI systems using self-correction, structured reasoning, constraint-aware generation, verification, and robust tool use\n\nLearning from human expertise through planner feedback, preferences, approvals, synthetic data generation, and human-in-the-loop improvement\n\nTrustworthy AI for high-consequence applications, with an emphasis on explainability, provenance, traceability, auditability, uncertainty estimation, and model behavior analysis\n\nWhat You’ll Do\nDesign and build agentic AI systems for planning, decision support, and human-machine teaming\n\nDevelop AI pipelines that integrate foundation models, retrieval, simulation, external tools, and deterministic software\n\nDesign, run, and analyze experiments to evaluate model and agent performance, reliability, traceability, latency, cost, and user trust\n\nFine-tune, distill, and evaluate foundation models for domain-specific planning, reasoning, and decision-support tasks\n\nBuild datasets, retrieval pipelines, automated benchmarks, and experiment infrastructure to support continuous model improvement and reproducible research\n\nPartner with software engineers to transition research prototypes into scalable AI services\n\nCollaborate with domain experts to translate operational workflows into AI-enabled capabilities while ensuring AI outputs remain explainable, reviewable, and under human control\n\nWhy Code Metal?\nMission with impact: Build AI systems that help users reason through high-consequence operational decisions.\n\nAI beyond demos: Work on systems where models are paired with software, verification, simulation, guardrails, and human oversight.\n\nGreenfield research: Explore ambitious ideas in GenAI, RL, agentic workflows, evaluation, and human-machine teaming.\n\nSmall-team velocity: Move quickly from research question to prototype to user-facing capability.\n\nReal users: See your work tested by planners, analysts, engineers, and operational stakeholders.\n\nMust-Have Credentials\nBachelor's or Master's degree in Computer Science, Machine Learning, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.\n\n3+ years building AI, machine learning, or applied research systems.\n\nStrong Python engineering skills.\n\nExperience with PyTorch and modern LLM tooling (Transformers, vLLM, Hugging Face, etc.).\n\nExperience building or deploying agentic AI systems, tool-calling workflows, or multi-step reasoning pipelines.\n\nExperience fine-tuning, evaluating, or serving language models.\n\nExperience with retrieval-augmented generation, embeddings, vector search, or knowledge retrieval systems.\n\nStrong understanding of experiment design, benchmarking, and model evaluation.\n\nAbility to move quickly from research prototype to production-quality implementation.\n\nEligible to obtain a U.S. security clearance.\n\nBenefits\nPay depends on experience, but we strive to be at the upper end of the salary range\n\nHealth care plan with 100% premium coverage, including medical, dental, and vision\n\n401k with 5% matching\n\nPaid Time Off (uncapped vacation, plus sick and public holidays)\n\nFlexible hybrid or remote work arrangement\n\nRelocation assistance for qualifying employees\n\nWage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location.\nWe are an equal opportunity employer. US Citizenship may be required for certain project assignments involving security clearance.\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","description_format":"text","description_chars":6500,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Embedded Software & RTOS","Code Intelligence","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-07-02T02:42:08Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.444,"p_room":0.28,"age_days":107,"expected_fill_days":50,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":266800,"is_top_pay":true},"html_url":"https://alion.io/job/code-metal-applied-ai-research-engineer","json_url":"https://alion.io/job/code-metal-applied-ai-research-engineer.json","meta":{"generated_at":"2026-10-18T05:12:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7855,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":716539},"rest":"https://alion.io/mcp/rest/get_company?id=716539"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcode-metal-applied-ai-research-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcode-metal-applied-ai-research-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcode-metal-applied-ai-research-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/code-metal-applied-ai-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcode-metal-applied-ai-research-engineer"}]}