{"id":42571,"url":"https://alion.io/job/universalagi-ml-engineer","title":"ML Engineer","company":{"id":8996,"name":"Universalagi","domain":"universalagi.com","url":"https://alion.io/company/universalagi","size_band":"201-500","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":161000,"max_usd":354000,"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":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false}],"status":"live","first_seen_at":"2026-02-26T22:10:19Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-12T12:38:06Z","board_verified":true,"closed_at":null,"days_open":227,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":227},"description":"San Francisco | 5 Days Onsite\nLocation: Onsite in San Francisco\nCompensation: Competitive Salary + Equity\nWho We Are\nEngineering simulation is one of the last major categories of software that AI hasn't rebuilt. The tools used to design aircraft, ships, reservoirs, and medical devices still run on numerical methods that are decades old, and an engineer can wait a full day for a single answer. UniversalAGI is building foundation models that learn physics directly from data, and they are already running in early deployments on real computational fluid dynamics and reservoir engineering problems for some of the largest industrial and defense organizations in the world.\nWe are a team of 25 researchers and engineers in San Francisco backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico).\nAbout the Role\nUniversalAGI is hiring an ML Engineer to help ship ML outcomes by owning the execution layer: data preprocessing/generation, training/fine-tuning, benchmarking, and delivering results.\nWhat You’ll Do\nBuild and maintain data preprocessing and data generation pipelines to support model training and evaluation.\n\nRun training and fine-tuning workflows end-to-end and iterate quickly on performance improvements.\n\nDesign and execute benchmarking/evaluation suites to measure progress and customer outcomes.\n\nCollaborate with PhD expert researchers to operationalize model architectures into repeatable, production-grade workflows.\n\nCommunicate results clearly (metrics, dashboards, short writeups) and maintain high-quality, reproducible work.\n\nQualifications\nStrong software engineering skills (clean code, debugging, reliability, reproducibility).\n\nSolid ML foundations and hands-on experience with the ML lifecycle: data → training/fine-tuning → evaluation/benchmarking.\nPrior experience training or fine-tuning models (any modality/type - LLMs, computer vision, physics, surrogate models, etc.)\n\nOlympic athlete mindset: You have high standards for yourself and are obsessed with measurable improvement on the metrics you are delivering.\n\nResourcefulness: you know when to do the “quick & correct” fix vs. when to invest in a robust solution, and you can justify the tradeoff with impact/\n\nOwnership: Comfortable owning work end-to-end and being accountable for measurable outcomes.\n\nBonus Qualifications\nExperience building data pre-processing pipelines for training ML models.\n\nExperience with benchmarking methodology, experiment design, and metric selection.\n\nFamiliarity with distributed training / scalable compute workflows.\n\nExperience in an FDE-style / delivery execution role (or similar “ship results fast” environments).\n\nCultural Fit\nTechnical Respect: Ability to earn respect through hands-on technical contribution\n\nIntensity: Thrives in our unusually intense culture - willing to grind when needed\n\nCustomer Obsession: Passionate about solving real customer problems, not just publishing papers\n\nDeep Work: Values long, uninterrupted periods of focused work over meetings\n\nHigh Availability: Ready to be deeply involved whenever critical issues arise\n\nCommunication: Can translate complex model decisions to customers and team\n\nGrowth Mindset: Embraces the compounding returns of intelligence and continuous learning\n\nStartup Mindset: Comfortable with ambiguity, rapid change, and wearing multiple hats\n\nWork Ethic: Willing to put in the extra hours when needed to hit critical milestones\n\nTeam Player: Collaborative approach with low ego and high accountability\n\nBias for Action: Ships experiments fast, learns from failures, and iterates quickly\n\nWhat We Offer\nOpportunity to define the future of physics AI from the ground up\n\nWork on cutting-edge problems at the intersection of deep learning and physics simulation\n\nDirect collaboration with the founder & CEO and ability to influence company strategy\n\nCompetitive compensation with significant equity upside\n\nIn-person first culture - 5 days a week in office with a team that values face-to-face collaboration\n\nAccess to world-class investors and advisors in the AI space\n\nBenefits\nWe provide great benefits, including:\nCompetitive compensation and equity.\n\nCompetitive health, dental, vision benefits paid by the company.\n\n401(k) plan offering.\n\nFlexible vacation.\n\nTeam Building & Fun Activities.\n\nGreat scope, ownership and impact.\n\nAI tools stipend.\n\nMonthly commute stipend.\n\nMonthly wellness / fitness stipend.\n\nDaily office lunch & dinner covered by the company.\n\nImmigration support.\n\nHow We’re Different\n“The credit belongs to the man who is actually in the arena, whose face is marred by dust and\nsweat and blood; who strives valiantly; who errs, who comes short again and again... who at the\nbest knows in the end the triumph of high achievement, and who at the worst, if he fails, at least\nfails while daring greatly.\" - Teddy Roosevelt\nAt our core, we believe in being “in the arena. ” We are builders, problem solvers, and risk-takers who show up every day ready to put in the work: to sweat, to struggle, and to push past our limits. We know that real progress comes with missteps, iteration, and resilience. We embrace that journey fully knowing that daring greatly is the only way to create something truly meaningful.\nIf you're ready to train the models that will revolutionize physics simulation, push the boundaries of what AI can learn, and deliver real impact, UniversalAGI is the place for you.","description_format":"text","description_chars":5634,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Simulation & Digital Twin Software","AI for Science"],"lifecycle":[{"event":"open","at":"2026-02-26T22:10:19Z"},{"event":"close","at":"2026-08-13T11:24:52Z"},{"event":"reopen","at":"2026-10-01T16:22:54Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":172500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":3}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.137,"p_room":0.28,"age_days":227,"expected_fill_days":28,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/universalagi-ml-engineer","json_url":"https://alion.io/job/universalagi-ml-engineer.json","meta":{"generated_at":"2026-10-12T18:01:56Z","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":28983,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":8996},"rest":"https://alion.io/mcp/rest/get_company?id=8996"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funiversalagi-ml-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%2Funiversalagi-ml-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%2Funiversalagi-ml-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/universalagi-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funiversalagi-ml-engineer"}]}