{"id":3297832,"url":"https://alion.io/job/hum-ai-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":24368,"name":"Hum.ai","domain":"hum.ai","url":"https://alion.io/company/hum","size_band":"11-50","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":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":165000,"max_usd":317000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Firebase","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Time Series","optional":false},{"name":"World Models","optional":true}],"status":"live","first_seen_at":"2026-10-26T18:08:22Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-04T22:02:25Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Senior Machine Learning Engineer\nLocation: San Francisco or remote · Full-time\nAbout us\nHum’s mission is to learn how the Earth changes by building a “world model for the entire world”: one that represents the dynamics of Earth processes, forecasts what a place looks like next, and makes that understanding useful. Founded at the University of Waterloo and backed by top investors like HF0, Climactic, Onto Ventures and angels from Firebase and OpenTable, we are a small team working on some of the largest unsolved problems.\nThe role\nAs our Senior Machine Learning Engineer, you'll own the software and infrastructure that trains and serves our models, so our research scientists can stay focused on the models themselves. The rest of our engineering team is building the pipelines that ingest petabytes of earth observation and remote sensing data, and an agent that uses that data and our models to answer customer questions. You'll own everything in between, the path from ingested data into training, the systems that run experiments and large-scale training, and the inference path that delivers model outputs to the agent. You'll work closely with those engineers to fit all the pieces together, and with our AI research scientists to make the models they dream up trainable, measurable, and servable at scale, from the first small experiment through full training runs.\nWhat you'll do\nOwn the ML platform. Build and run the systems for experiment tracking, distributed training at scale, and serving inference, and keep them fast, reliable, and reproducible.\n\nCollaborate on the interfaces. Work with our engineers and scientists to define and maintain the boundaries between data and training, data and inference, and inference and the agent.\n\nEnable multimodal training. Build the data and model plumbing that lets us train on many sensors, observation types, and text in one model.\n\nGo from small to large. Help our scientists prove ideas in fast, cheap experiments, then scale the winners to petabyte-scale training runs.\n\nMake evaluation real. Implement and improve our benchmarks and evaluation frameworks, both internal and user-facing.\n\nWatch the meter. Measure and optimize the cost and wall-clock time of experiments, training, and inference.\n\nSupport the agent. Work with the product team on how the agent calls the model and consumes its outputs, and build the integration.\n\nRequirements\nBachelor's degree in computer science, engineering, or a related field, or equivalent experience.\n\n5+ years of relevant industry experience, including hands-on machine learning engineering.\n\nProficiency building distributed, multi-node training pipelines in PyTorch and Lightning.\n\nExperience with AWS or another cloud platform, particularly the tooling for training and serving medium-to-large models.\n\nStrong software engineering fundamentals: you write production-quality Python and care about reliability, observability, and cost.\n\nFluent with modern agentic coding tools (e.g. Claude Code, Cursor, Codex) and current on how to use them well.\n\nBonus\nExperience training large diffusion or transformer models, ideally on video or time-series data.\n\nExperience with multimodal or spatiotemporal data, geospatial data, or geoscience problems.\n\nExperience serving models in production and integrating them with downstream applications or agents.\n\nStartup experience, comfortable with a small, fast-moving team.\n\nWhy us?\nWork that matters for the planet. Our customers in nature conservation, carbon removal, and government use our models to protect ecosystems and respond to a changing climate. We take positive impact seriously, including safety and guardrails, and you'll help us get it right.\n\nA team worth joining. Founded at the University of Waterloo by PhDs and engineers who've built and shipped at scale, we're small, technical, and collaborative. You'll work alongside people who care about the problem as much as you do.\n\nWell backed. $10M+ raised from HF0, Inovia Capital, and Propeller Ventures, angels including the cofounders of Firebase and OpenTable, and partners like AWS and the United Nations.\n\nCompensation and upside. Competitive salary, meaningful early-stage equity, health, dental and vision. As one of the first AI hires, your equity stake reflects that.","description_format":"text","description_chars":4289,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-10-26T22:25:19Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.504,"p_room":0.578,"age_days":8,"expected_fill_days":7,"reasons":["conf:3","win:tail"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/hum-ai-senior-machine-learning-engineer","json_url":"https://alion.io/job/hum-ai-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-11-05T00:06:24Z","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":53,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":24368},"rest":"https://alion.io/mcp/rest/get_company?id=24368"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhum-ai-senior-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%2Fhum-ai-senior-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%2Fhum-ai-senior-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/hum-ai-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhum-ai-senior-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3297832}},{"tool":"search_jobs","arguments":{"company":"hum.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3297832},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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