{"id":25811,"url":"https://alion.io/job/allocate-machine-learning-engineer","title":"Data Platform Engineer","company":{"id":6897,"name":"Allocate","domain":"allocate.com","url":"https://alion.io/company/allocate","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","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":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":165000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"Computer Vision","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-07-09T21:52:21Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-16T23:23:00Z","board_verified":true,"closed_at":null,"days_open":99,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":98},"description":"About Allocate\nAllocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. Our platform combines curated fund and co-investment opportunities with institutional-grade infrastructure. Through a single, data-rich digital experience, clients access top-tier opportunities across venture capital, private equity, private credit, and other private asset classes-backed by powerful tracking, analytics, and administration tools.\nAbout the Role\nAllocate is looking to add an Data Platform Engineer to the team! There's a lot for us to build, and we need a strong engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future.\nEssential Responsibilities and Duties\nBuild, train, and improve machine-learning models for production use.\n\nDevelop evaluation and feedback loops that measurably improve model performance over time.\n\nStand up the tooling to measure, monitor, and track model quality.\n\nEvaluate new models and techniques, and bring the best into production.\n\nCollaborate cross-functionally to ship ML-powered capabilities.\n\nMust Have Experience\n4+ years of applied ML / LLM engineering in production, with strong Python.\n\nExperience taking models from prototype to reliable production systems.\n\nHands-on model fine-tuning and rigorous evaluation discipline.\n\nProficiency with Git and version control systems.\n\nHands-on experience with AI-assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge.\n\nNice to Haves\nApplied NLP, computer vision, or multimodal models.\n\nMLOps and model-monitoring tooling.\n\nBackground in fintech or financial data.\n\nEducation\nBachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.\n\nEssential Values & Culture\nProviding our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners-extraordinary response times, proactivity, and a top-tier experience in everything from product strategy to offline communications.\n\nChallenge convention: Instead of detailing all the reasons an idea may not work, we question things to determine how a viable idea may be put into motion.\n\nCommitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve.\n\nMeritocracy, not politics: We place the utmost value on results and reward through merit, not political agendas.\n\nCivil Discourse is embraced: Open, intellectually curious conversations are required to consistently arrive at the best decisions. Respect is paramount, but the mission is to get the right answer collectively, not to be right.\n\nEmbrace technological change: We adopt tools and techniques that make us faster, smarter, and better-especially around AI and automation-and drop outdated methods without hesitation.\n\nAdditional Details\nLocation: Fully Remote (all I-9 eligible candidates will be considered).\n\nEmployment: Full-time. Seniority: Senior professional.\n\nSalary: The expected base salary range for this role is $165,000 to $185,000. Actual compensation will be determined based on the candidate's primary work location and other job-related factors including skills, experience, qualifications, interview performance, internal equity, and market data. Candidates located in higher cost-of-living markets, including the San Francisco Bay Area, may be considered within the higher end of the range. This range reflects base salary only and does not include bonus, equity, or benefits; total compensation may also include a discretionary performance-based bonus.\n\nBenefits: Medical, dental, and vision; 401(k); and responsible vacation time (PTO).\n\nTravel required for team and department offsites. An in-person interview may be required during the process. A broadband internet connection is required. Compliance with Allocate's Code of Ethics is a given for this role.","description_format":"text","description_chars":4092,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-07-09T21:52:21Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.7,"p_room":0.44,"age_days":98,"expected_fill_days":85,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":true},"html_url":"https://alion.io/job/allocate-machine-learning-engineer","json_url":"https://alion.io/job/allocate-machine-learning-engineer.json","meta":{"generated_at":"2026-10-16T23:57:38Z","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":6174,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":6897},"rest":"https://alion.io/mcp/rest/get_company?id=6897"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fallocate-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%2Fallocate-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%2Fallocate-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/allocate-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fallocate-machine-learning-engineer"}]}