{"id":48113,"url":"https://alion.io/job/alliance-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":107,"name":"Alliance","domain":"alliance.xyz","url":"https://alion.io/company/Alliance","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":152000,"max_usd":289000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1213},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Interpretability","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Synthetix","optional":false},{"name":"GitHub","optional":true},{"name":"OpenAI","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-07-31T21:01:41Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-17T06:51:32Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Senior ML Eng\nLocation: NYC (onsite only - not remote)\nAlliance is the leading accelerator for crypto & AI founders. Since 2020 we’ve backed 300+ startups (Rain, Pump, Synthetix, Pendle, and many more), now collectively valued at $15B+.\nWe’re hiring a Machine Learning Engineer to join our in-house engineering team. You’ll report directly to Carter (CTO) and will be responsible for owning features from the requirements definition stage to production.\nWhat You’ll Do\nOwn applied ML end-to-end: turn a loosely defined problem into a dataset, an experiment, a model, and a production system without relying on a PM or a large engineering team.\nBuild and operate production Python systems for data collection, enrichment, feature extraction, scoring, evaluation, and AI-assisted research.\nDevelop models people can trust: define labels and features, build evaluation sets and backtests, catch leakage and bad source data, compare approaches, and know when a simpler model is the right answer.\nMove work from the model lab into production: own artifacts, feature and prompt compatibility, APIs, background jobs, observability, failure handling, and releases.\nImprove our LLM systems including structured extraction, research agents, prompt and model evaluation, and the guardrails needed to use untrusted external data safely.\nWork directly with stakeholders to decide what is worth building, explain model behavior and tradeoffs clearly, and iterate based on how the system is actually used.\nWhat we’re looking for\nSenior, self-directed ML engineer who can take an ambiguous problem from first experiment through a reliable production release.\nDeep experience with Python and applied machine learning; comfortable moving between data exploration, training code, application code, APIs, and production debugging.\nStrong modeling judgment: problem and label definition, feature design, evaluation, backtesting, leakage, missing data, calibration, interpretability, and model selection.\nEnough software and data engineering depth to ship your own work: build pipelines and services, integrate external APIs, manage model artifacts and schemas, and maintain production workflows without heavy engineering support.\nPractical experience with LLM systems: structured outputs, model and prompt evaluation, observability, retries, cost and latency tradeoffs, and safe handling of untrusted inputs.\nClear communicator with good product judgment who can work directly with non-technical stakeholders and turn model output into a useful decision or operating tool.\nExtremely high-agency, entrepreneurial, self-driven.\n NYC-based or willing to relocate (non-negotiable).\nExamples of strong qualifications (good to have but not required)\nShipped ML products that people actually use, with evidence of owning the path from raw data and experimentation through deployment, monitoring, and iteration.\nStrong public work: a standout GitHub, useful open-source contributions, published research, technical writing, or unusually good independent experiments.\nExperience building prediction, ranking, classification, recommendation, or anomaly-detection systems on messy real-world data.\nExperience building LLM evaluation systems, structured extraction pipelines, research agents, or other production AI workflows.\nFounder, early ML hire, or senior individual contributor at a fast-moving startup, especially where you operated without a dedicated ML platform or large engineering team.\nClear signals of exceptional technical or quantitative ability: strong research, competition results, Math/Physics Olympiad performance, or a top technical academic background.\nWhy NOT join us\nNot willing to get hands dirty: doesn’t matter how important you were in past organizations; at Alliance we’re all builders, not managers (even though many of us were managers in past lives).\nPrioritizing work/life balance: this role demands focus, hunger, and a career-defining level of commitment. You must be locked in.\nLow agency: if you need someone else to set your priorities or keep you on track, you will fail.\nYou can’t relocate to NYC. This is non-negotiable: our founders are here, and so are we.\nWhy join us\nWork with the most ambitious founders in crypto and AI. Learn firsthand from hundreds of startups succeeding - or failing.\nJoin a small, high-trust, high-performance team with outsized impact. We’re ex-Meta, WhatsApp, Coinbase, YC, and have collectively founded multiple venture-backed startups.\nWe’re backed by S-tier investors including Initialized Capital, Founders Fund, Multicoin, and Dragonfly, along with angels such as Balaji Srinivasan (ex-Coinbase CTO), Kevin Weil (CPO at OpenAI), Kevin Lin (Twitch co-founder), and Jeremy Allaire (Circle CEO), among many others.\nDirect ownership and visibility: your work shapes how the next generation of founders discovers Alliance.\nCareer accelerator: this role sets you up, experience- and network-wise, for any high-impact path in crypto/AI - at startups, venture firms, or your own company.\nAlliance startups are reinventing industries - from media to payments - and improving the lives of everyday people. You’ll have a front-row seat as they change the world.","description_format":"text","description_chars":5193,"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":true,"industries":["Blockchain & Crypto","Web3 & dApps","Angel Networks & Startup Accelerators"],"lifecycle":[{"event":"open","at":"2026-07-31T21:01:41Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.509,"p_room":0.28,"age_days":77,"expected_fill_days":37,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/alliance-senior-ml-engineer","json_url":"https://alion.io/job/alliance-senior-ml-engineer.json","meta":{"generated_at":"2026-10-17T09:44:37Z","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":12826,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":107},"rest":"https://alion.io/mcp/rest/get_company?id=107"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Falliance-senior-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%2Falliance-senior-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%2Falliance-senior-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/alliance-senior-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Falliance-senior-ml-engineer"}]}