{"id":38787,"url":"https://alion.io/job/mlabs-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":4155,"name":"MLabs","domain":"mlabs.city","url":"https://alion.io/company/mlabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":90,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300000,"max":375000,"currency":"USD","period":"year","gross":null,"usd_annual":375000},"salary_estimate":null,"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":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T03:00:36Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":6},"description":"Location: New York, United States (Office) - Must be able to work office based in NYC\nOn-Site | Full-time\nCompensation: $300K - $375K\nOur client, a premier venture accelerator backing high-growth technology and emerging-tech startups, is seeking an experienced and self-directed Senior Machine Learning Engineer to join their in-house engineering team in New York City.\nReporting directly to the Chief Technology Officer (CTO), the Senior Machine Learning Engineer will take full ownership of features throughout the product lifecycle-from requirements definition to production deployment. This onsite role requires an entrepreneurial mindset and deep technical execution to turn loosely defined problems into robust, production-ready machine learning and LLM-based systems without reliance on large engineering teams or dedicated project managers.\nKey Responsibilities\nOwn Applied ML End-to-End: Translate ambiguous, high-level business problems into datasets, experiments, models, and production systems independently.\nBuild Production Pipelines: Develop and maintain production Python systems for data collection, enrichment, feature extraction, scoring, model evaluation, and AI-assisted research workflows.\n Model Design & Evaluation: Define labels and features, construct evaluation sets and backtests, detect data leakage, evaluate source quality, and select optimal modeling approaches (including traditional ML and LLMs).\nProduction Deployment & Operations: Transition models from research to production environments, managing artifacts, feature/prompt compatibility, APIs, background jobs, observability, failure handling, and release cycles.\nEnhance LLM Infrastructure: Improve large language model systems, including structured data extraction, research agents, prompt and model evaluation, and safety guardrails for untrusted external inputs.\nStakeholder Collaboration: Work directly with key stakeholders to determine roadmap priorities, clearly articulate model behavior and tradeoffs, and iterate iteratively based on real-world usage.\nRequirements\nBasic Qualifications\nSenior-Level ML Expertise: Proven ability to drive complex, ambiguous ML problems from initial experimentation through to reliable production releases.\nProduction Python Proficiency: Strong mastery of Python across data exploration, training pipelines, application logic, APIs, and production debugging.\nRobust Modeling Judgment: Deep experience in problem formulation, label definition, feature engineering, evaluation metrics, backtesting, data leakage prevention, calibration, interpretability, and model selection.\nFull-Stack ML Engineering Capability: Strong software engineering and data pipeline fundamentals to deploy, integrate, schema-manage, and monitor services autonomously.\nApplied LLM Systems Experience: Hands-on experience with structured outputs, model/prompt evaluation frameworks, observability, retry strategies, cost/latency optimization, and input validation.\nProduct Sense & Communication: Ability to communicate technical tradeoffs clearly with non-technical stakeholders and translate model outputs into actionable business tools.\n Location: Based in or willing to relocate to New York City (onsite presence is strictly required).\nPreferred Qualifications\nTrack record of shipping customer-facing ML products with end-to-end ownership.\nStrong portfolio of technical work (e.g., active GitHub, open-source contributions, published research, or technical writing).\nPrior experience developing prediction, ranking, classification, recommendation, or anomaly-detection systems on messy, real-world data.\nBackground building LLM evaluation frameworks, structured extraction pipelines, or automated research agents.\nEarly-stage startup experience as a founder, early ML hire, or senior IC working without dedicated platform teams.\nExceptional technical or quantitative pedigree (e.g., strong research background, competition achievements, or top-tier academic background in quantitative disciplines).\nBenefits\nDirect partnership with high-impact founders across emerging technology sectors.\nHigh-trust, high-autonomy environment within a lean, elite engineering team composed of industry veterans.\nDirect ownership over core systems shaping founder discovery and operational workflows.\nAccelerated career growth and networking opportunities within a leading startup ecosystem.\nCompetitive compensation and benefits package.\nInterview Process\nHiring Manager Interview\nTechnical Interview\n Behavioral & Culture Interview (with the CPO & Co-Founder)\n Final Interview (Technical Coding Assessment)\nDue to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.\nCommitment to Equality and Accessibility:\nAt MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing .\nMLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .","description_format":"text","description_chars":6045,"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":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Smart Contracts & Security","Blockchain Infrastructure"],"lifecycle":[{"event":"open","at":"2026-08-04T00:00:00Z"},{"event":"close","at":"2026-08-14T20:17:16Z"},{"event":"reopen","at":"2026-10-16T10:42:48Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":90,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":375000,"is_top_pay":true},"html_url":"https://alion.io/job/mlabs-senior-ml-engineer","json_url":"https://alion.io/job/mlabs-senior-ml-engineer.json","meta":{"generated_at":"2026-10-22T10:40:51Z","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":8024,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":4155},"rest":"https://alion.io/mcp/rest/get_company?id=4155"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmlabs-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%2Fmlabs-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%2Fmlabs-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/mlabs-senior-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmlabs-senior-ml-engineer"}]}