{"id":98950,"url":"https://alion.io/job/goodfire-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":38138,"name":"Goodfire","domain":"goodfire.com","url":"https://alion.io/company/goodfire","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":57,"open_postings":25,"ghost_share":0.72,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"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":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2025-12-04T21:17:59Z","employer_posted_date":"2026-06-09","last_verified_at":"2026-10-18T09:26:24Z","board_verified":true,"closed_at":null,"days_open":317,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":317},"description":"About Goodfire\nGoodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.\nWe believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.\nGoodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.\nAbout the role\nWe’re looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You’ll play a central role in building our core technology, from training and eval tooling to product features, to achieve our mission of understanding and intentionally designing AIs.\nWhere you might contribute:\nInterpretability tools - Building the tools and infrastructure to support understanding and intentional design of models at industry scale.\nTraining infrastructure - Extending and supporting our training infrastructure for large training runs.\nProduct - Turning state of the art interpretability research into robust, usable product features.\nWe'll work with you to determine the team that best aligns with your strengths.\nKey responsibilities:\nTurn cutting edge interpretability research into production ready tools.\nOptimize pipelines and infrastructure for frontier model interpretability, training, and inference.\nIntegrate new machine learning workflows and pipelines into our product and deploy to customers.\nEnsure system reliability, reproducibility, and performance.\nWhat you’ll bring\nRequired experience\n5+ years of experience in ML infra, research engineering, or systems programming.\nComfort working across research and engineering boundaries.\nExpertise in Python, PyTorch or Jax, and distributed systems.\nExperience deploying and maintaining ML systems at scale.\nYou care about understanding how models work internally and using that to make them more reliable and useful in the real world.\nPreferred qualifications\nOpen-source ML infra contributions.\nStartup or frontier lab experience in fast-moving teams.\nOur values\nGoodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.\nPut mission and team first\nAll we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.\nImprove constantly\nWe are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.\nTake ownership and initiative\nThere are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.\nAction today\nWe have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.\nWhere we work\nWe are hiring for this position in both our San Francisco HQ and our New York office. We are in person 5 days a week, with one company-wide remote week per month.\nWhat we offer\nThis role offers market competitive salary, equity, and competitive benefits.\nThe expected salary range for this position is $200,000 - $400,000 USD\nMost importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory - we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.","description_format":"text","description_chars":4277,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Explainable AI (XAI)","AI Safety & Alignment","AI Research Labs"],"lifecycle":[{"event":"open","at":"2025-12-04T21:17:59Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.223,"p_room":0.28,"age_days":316,"expected_fill_days":36,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/goodfire-machine-learning-engineer","json_url":"https://alion.io/job/goodfire-machine-learning-engineer.json","meta":{"generated_at":"2026-10-18T10:04:08Z","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":14948,"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":38138},"rest":"https://alion.io/mcp/rest/get_company?id=38138"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoodfire-machine-learning-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%2Fgoodfire-machine-learning-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%2Fgoodfire-machine-learning-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/goodfire-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoodfire-machine-learning-engineer"}]}