{"id":749131,"url":"https://alion.io/job/pytho-ai-engineer","title":"AI Engineer","company":{"id":691185,"name":"Pytho","domain":"pytho.ai","url":"https://alion.io/company/pytho","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":165000,"max_usd":361000,"period":"year","method":"role_country_seniority_unknown","sample_n":3786},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-03-16T00:52:17Z","employer_posted_date":"2026-03-16","last_verified_at":"2026-10-14T00:34:11Z","board_verified":true,"closed_at":null,"days_open":212,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":211},"description":"Company Overview\nPrepare first. Decide first. Win first.\nAt Pytho, we're on a mission to ensure warfighters are prepared for every challenge they face. We are committed to assembling a world-class team of exceptional problem solvers, combining expert engineering talent with deep experience in National Security.\nWe build AI for the most important problem in defense - making sure the force is ready to fight. Our software is deployed and in use with DoW partners today.\nThe Opportunity\nWe're building out our AI Engineering Team. This is a chance to join at the earliest stage of a company where the engineering problems are genuinely hard - planning under uncertainty, multi-agent coordination, simulation, reinforcement learning - and the work is deployed in environments where the output actually matters.\nYou will work across the full ML lifecycle - transforming messy, real-world data into production-grade models deployed in high-stakes environments. You'll ship fast, work directly with the founders, and have outsized influence on the technical direction of the company.\nKey Responsibilities\nAI/ML Development: Design, train, fine-tune, and deploy ML models to solve real-world operational problems. Own the lifecycle from data exploration and feature engineering to evaluation and production monitoring.\nData & Systems Engineering: Build scalable data pipelines for structured and unstructured data (text, imagery, geospatial, sensor data). Develop reliable training and inference systems optimized for performance and edge deployment.\nEngineering Excellence: Integrate models into robust, scalable production systems with strong testing, observability, and CI/CD practices.\nResearch & Experimentation: Prototype and benchmark new modeling approaches (LLMs, multimodal systems) to improve performance, robustness, and mission impact.\nWhat You Bring\nRequired\nBachelor's degree (B.Sc.) in Computer Science\n\nStrong software engineering fundamentals\n\nSolid understanding of machine learning principles (model evaluation, optimization, bias/variance tradeoffs)\n\nHands-on experience with ML frameworks (PyTorch, TensorFlow, Hugging Face)\n\nExperience working with real-world datasets - cleaning, feature engineering, experimentation, and performance analysis\n\nStrong communication and collaboration skills\n\nWillingness to travel up to 15% to engage with DoW partners\n\nMust be eligible to obtain and maintain a U.S. security clearance\n\nPreferred\nMaster's degree (M.Sc.) in Computer Science, Machine Learning, or related field\n\nExperience with edge-deployable or offline ML systems\n\nExperience optimizing models for latency and compute constraints\n\nFamiliarity with distributed training or large-scale data processing\n\nExposure to geospatial, multimodal, or reasoning systems\n\nExperience with containerization and orchestration tools\n\nBenefits\nCompetitive salary and equity\n\nOpportunity to help build a category-defining defense tech company\n\nFull health benefits\n\n401(k)\n\nOffices in Washington DC and San Francisco","description_format":"text","description_chars":3016,"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":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Defense AI"],"lifecycle":[{"event":"open","at":"2026-09-11T15:11:44Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.116,"p_room":0.28,"age_days":211,"expected_fill_days":26,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pytho-ai-engineer","json_url":"https://alion.io/job/pytho-ai-engineer.json","meta":{"generated_at":"2026-10-14T02:53:24Z","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":4424,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":691185},"rest":"https://alion.io/mcp/rest/get_company?id=691185"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpytho-ai-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%2Fpytho-ai-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%2Fpytho-ai-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/pytho-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpytho-ai-engineer"}]}