{"id":802218,"url":"https://alion.io/job/videa-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":688537,"name":"Videa","domain":"videa.ai","url":"https://alion.io/company/videa-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":98,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":205000,"currency":"USD","period":"year","gross":null,"usd_annual":205000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Okta","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-06-17T20:16:26Z","employer_posted_date":"2026-06-17","last_verified_at":"2026-11-07T09:49:38Z","board_verified":true,"closed_at":null,"days_open":142,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":142},"description":"About us:\nVidea is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to enhance the quality of care through faster diagnoses, to increase operating efficiencies, and to improve patient understanding.\nAbout the position:\nWe're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer vision teams. This is an opportunity to design, build, and scale machine learning systems that combine structured clinical data with outputs from our core computer vision models to improve patient care and operational performance.\nYou'll own end-to-end development of production ML systems, integrate them safely into healthcare workflows, and deploy reliable, interpretable, and monitored models that meet medical-grade standards. Depending on your background, that might mean predictive and tabular modeling, multimodal systems, large-scale training and inference infrastructure, model evaluation and reliability, or another specialty where you bring real depth. You'll work alongside ML scientists, clinical experts, and product engineers to translate real clinical questions into systems that ship and hold up over time.\nWe're looking for a hands-on builder who's excited to work with real-world clinical data, get models into production, and own them across their full lifecycle. If you care about impact and want to help define the future of applied AI in healthcare, we'd love to meet you.\nKey Responsibilities:\nDesign, build, and deploy production ML systems for clinical decision support and operational insight, applying deep expertise from your area of specialty.\n\nDevelop ML pipelines that integrate structured clinical or EHR data with outputs from computer vision models to power downstream applications.\n\nEnsure the calibration, robustness, and interpretability of deployed models, including clear clinician-facing explanations where relevant.\n\nImplement monitoring, drift detection, evaluation protocols, and retraining or update workflows for production systems.\n\nPartner cross-functionally with product, engineering, clinical, and compliance teams to define requirements and integrate models into live workflows.\n\nContribute to regulatory documentation for ML systems (data descriptions, validation reports, model versioning).\n\nMentor engineers and help establish best practices for applied ML and experimentation.\n\nRequirements\n4+ years building and deploying machine learning systems in production, ideally with real-world or clinical data.\n\nDeep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.\n\nStrong development skills in Python with testing, CI/CD, and collaborative coding practices.\n\nExceptional critical thinking and problem decomposition. Able to turn ambiguous clinical or business questions into measurable hypotheses, design sound experiments, and reason clearly about trade-offs between accuracy, reliability, interpretability, and operational impact.\n\nFamiliarity with production ML practices, including monitoring data drift, performance over time, and model health.\n\nExcellent communication skills and a collaborative, product-oriented mindset.\n\nPreferred\nM.S. or Ph.D. in a relevant technical field.\n\nExperience with healthcare data or regulated ML systems.\n\nBackground in multimodal or stacked models, especially combining CV outputs with tabular data.\n\nFamiliarity with survival analysis, time-series, or longitudinal modeling.\n\nOpen-source contributions or published work in applied ML.\n\nPrior leadership or mentorship experience\n\nWhat We Offer\nFast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us\n\nCompetitive pay, equity and benefits (flexible PTO)\n\nAgile organization where being senior translates to being a mentor and role model for others. We lead by example.\n\nTechnical challenges on the leading edge of innovation where software and machine learning intersect.\n\nVidea is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets.\nIf you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!","description_format":"text","description_chars":5021,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Agents","Medical Imaging Systems","Dental Products & Labs"],"lifecycle":[{"event":"open","at":"2026-09-12T08:28:04Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.715,"p_room":0.44,"age_days":142,"expected_fill_days":98,"reasons":["conf:4","win:tail","crowd:"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":205000,"is_top_pay":true},"html_url":"https://alion.io/job/videa-senior-machine-learning-engineer","json_url":"https://alion.io/job/videa-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-11-07T13:13:17Z","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":15677,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":688537},"rest":"https://alion.io/mcp/rest/get_company?id=688537"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvidea-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%2Fvidea-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%2Fvidea-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/videa-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvidea-senior-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":802218}},{"tool":"search_jobs","arguments":{"company":"videa.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":802218},"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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