{"id":420178,"url":"https://alion.io/job/composite-founding-machine-learning-engineer","title":"Founding Machine Learning Engineer","company":{"id":159042,"name":"Composite","domain":"composite.agency","url":"https://alion.io/company/composite-2","size_band":null,"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":{"min":150000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Cloudflare","optional":false},{"name":"Electron","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"Pinecone","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2025-10-22T22:12:07Z","employer_posted_date":"2025-10-22","last_verified_at":"2026-10-28T01:04:16Z","board_verified":true,"closed_at":null,"days_open":370,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":369},"description":"About the Role\nWe're looking for founding Machine Learning Engineers (MLEs) to own and improve our core action models end-to-end - the intelligence that powers Composite's proactive automation platform.\nYou'll work at the intersection of LLM inference, browser understanding, and low-latency systems, shipping models that need to feel instant while reasoning over complex page state and user context.\nUnlike hosted browser solutions that introduce latency and auth barriers, or consumer-focused \"AI browsers,\" we run AI directly through professionals' existing browsers via a Chrome extension, creating instant response times with zero migration or IT friction. This architecture creates unique ML challenges.\nThis is a high-ownership role on our small, exceptional team where your work ships directly to users and has the potential to tangibly improve the work lives of hundreds of millions of people.\nAbout Composite\nCollege-educated professionals spend 85% of their day as digital factory workers in Chrome, clicking through repetitive browser tasks.\nComposite is building the proactive layer for productivity so professionals around the world can focus on meaningful, high-leverage work. We're training action prediction models that run in real time, anticipating what you'll do next based on page context and prior interactions.\nWe've raised $5.6M in seed funding led by Nat Friedman and Daniel Gross, with participation from Menlo Ventures, Anthropic's Anthology Fund, SVAngel, and other incredible investors.\nWhat You'll Work On\nImprove the accuracy and latency of our core models across diverse web applications to predict users' intended next actions and execute them faster than manual input\n\nDesign and optimize LLM inference pipelines, including token caching strategies, streaming architectures, and network-level optimizations between client and server\n\nBuild evaluation frameworks and data pipelines to measure and improve model quality at scale\n\nExperiment with retrieval-augmented approaches using vector databases for contextual memory\n\nDevelop synthetic data generation pipelines for browser interaction training data\n\nWork with DOM states, accessibility trees, and user interaction data to improve browser understanding\n\nShip features end-to-end that go directly to users - this is not a research-only role\n\nWhat We're Looking For\nML & Systems\nStrong ML fundamentals with hands-on experience training and deploying models in production\n\nObsessive about latency - experience optimizing inference pipelines to feel instant to end users\n\nDeep care about data quality, with the instinct to build tooling that ensures it\n\nExperience with LLMs, transformer architectures, or sequence prediction problems\n\nComfortable working across the stack - our system spans a Chrome extension, Electron app, Cloudflare Workers edge proxy, and inference providers\n\nCore Qualities\nCharacter: You're someone we'd want to work closely with for the next ten years. You approach challenges with curiosity rather than ego. You're a team player, a great communicator, and aren't afraid to be wrong.\n\nWork Ethic: You're energized by hard problems and comfortable working intensely toward ambitious goals.\n\nRaw Intelligence: You can quickly understand complex systems and solve novel, ambiguous problems with self-guidance.\n\nBonus\nExperience with browser automation, Chrome extensions, or web scraping at scale\n\nFamiliarity with accessibility tree / DOM parsing for page understanding\n\nBackground in RL or online learning from user interaction data\n\nExperience with vector databases (e.g., Turbopuffer, Pinecone) and hybrid search\n\nFull-stack development experience (TypeScript, Node.js, React)\n\nOur Values\nDisagree and commit: Respectfully challenge decisions you disagree with, even when it's uncomfortable. Don't censor yourself or your ideas. Once a decision is determined, everyone commits wholly.\n\nClear and consistent standards: Decisions are made based on a shared framework that applies for everyone. We don't leave room for \"rules for you, not for me\" or any perceived hypocrisy.\n\nOver-communicate: Nothing slows down a company more than confusion, mis-, or under-communication. Leave no room for ambiguity. Ask dumb questions. Write things down clearly.\n\nHealth is #1: Stay hydrated. Eat a balanced diet. Sleep 8 hours a night. Exercise frequently. Maintain good social and mental health. Not doing so affects your mood and long-term productivity.\n\nDo the right thing.","description_format":"text","description_chars":4470,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-06T03:53:24Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.123,"p_room":0.28,"age_days":369,"expected_fill_days":23,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":220000,"is_top_pay":false},"html_url":"https://alion.io/job/composite-founding-machine-learning-engineer","json_url":"https://alion.io/job/composite-founding-machine-learning-engineer.json","meta":{"generated_at":"2026-10-28T02:47:44Z","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":3717,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":159042},"rest":"https://alion.io/mcp/rest/get_company?id=159042"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcomposite-founding-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%2Fcomposite-founding-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%2Fcomposite-founding-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/composite-founding-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcomposite-founding-machine-learning-engineer"}]}