{"id":3834177,"url":"https://alion.io/job/mcg-health-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":7744,"name":"MCG Health","domain":"mcg.com","url":"https://alion.io/company/mcg-health","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":154000,"max":216000,"currency":"USD","period":"year","gross":null,"usd_annual":216000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-05T18:58:21Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-10T01:30:30Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.\nTheStaff Machine Learning Engineer is a senior individual contributor responsible for building and evolving the machine learning engineering capabilities that enable continuous improvement of MCG’s AI-powered clinical solutions. The role focuses on developing tooling and infrastructure for automated prompt tuning, content feedback loops, model benchmarking, and related ML experimentation and evaluation capabilities. Working with Data Scientists, Clinicians, Software Engineers, and Product, this role translates model-quality and operational improvement opportunities into scalable technical solutions. The Staff ML Engineer operates with significant independence, serves as a technical authority within ML engineering, and influences how MCG evaluates, improves, and operationalizes AI-enabled clinical solutions.\nYou Will:\nDesign, build, and evolve ML engineering tooling that accelerates continuous improvement of MCG’s AI-powered clinical solutions, including automated prompt tuning, content feedback loops, and model benchmarking.\nDevelop scalable experimentation and evaluation infrastructure that enables rapid, reproducible comparison and optimization of models, prompts, and AI approaches.\nPartner with Data Science, Clinical Prompt Engineering, Software Engineering, and Product teams to translate model improvement opportunities into reliable technical solutions.\nTranslate ambiguous ML and clinical AI requirements into technical approaches, defining appropriate methodologies, interfaces, and implementation plans.\nInvestigate complex ML engineering problems and develop practical solutions when established approaches or frameworks are insufficient.\nEstablish reusable engineering patterns, standards, and best practices that improve the quality, efficiency, and scalability of ML experimentation and continuous improvement.\nProvide technical guidance and mentorship to engineering and cross-functional partners, influencing outcomes through technical expertise and judgment without direct people-management responsibility.\nWhat We're Looking For:\nBachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.\nAt least 6 years of relevant professional experience in machine learning engineering, software engineering, data science engineering, or a closely related technical discipline.\nExperience designing and implementing production-quality machine learning systems, tooling, or infrastructure is required.\nExperience with Python and modern software engineering practices.\nDemonstrated ability to independently solve complex technical problems and determine effective approaches within an ambiguous problem space.\nDemonstrated experience collaborating with Data Science, Engineering, Product, or other cross-functional technical teams.\nPreferred Qualifications:\nExperience developing automated prompt optimization or prompt evaluation systems\nExperience building model benchmarking frameworks or evaluation infrastructure for large language models\nExperience developing feedback loops that incorporate human or expert evaluation into ML systems\nExperience with model observability, experimentation platforms, or ML operations\nExperience developing reusable ML engineering frameworks or standards adopted across multiple team\nStrong technical communication and collaboration skills, with the ability to influence decisions through expertise rather than positional authority\nDemonstrated ability to operate effectively in ambiguous, fast-moving environments while balancing technical rigor with delivery\nPay Range: $154,000 - $216,000\nOther compensation: Bonus Eligible\nLocation: Seattle Preferred \nPerks & Benefits:\nRemote Work/Hybrid Work\nTravel expected 1-3 times per year for company-sponsored events\nMedical, dental, vision, life, and disability insurance\n401K retirement plan; flexible spending and health savings account\n15 days of paid time off + additional front-loaded personal days\n14 company-recognized holidays + paid volunteer days\nup to 8 weeks of paid parental leave + 10 weeks of paid bonding leave\nLGBTQ+ Health Services\nPet insurance\nCheck out more of our benefits here: https://www.mcg.com/about/careers/benefits/\nAll roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. \nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.\nNote on interviews : We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative.\nMCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providingthe right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provideaccommodationsforindividuals. Please let us know if you requireany support.","description_format":"text","description_chars":6341,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Hybrid work","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Clinical Decision Support"],"lifecycle":[{"event":"open","at":"2026-11-05T20:27:03Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 5 · green card filings: 5","filings_12m":5,"filings_prev_12m":9,"green_card_filings_12m":5,"median_offered_wage_usd":162500,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":71,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":216000,"is_top_pay":false},"html_url":"https://alion.io/job/mcg-health-staff-machine-learning-engineer","json_url":"https://alion.io/job/mcg-health-staff-machine-learning-engineer.json","meta":{"generated_at":"2026-11-10T04:00:24Z","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":9395,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":7744},"rest":"https://alion.io/mcp/rest/get_company?id=7744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmcg-health-staff-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fmcg-health-staff-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fmcg-health-staff-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/mcg-health-staff-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmcg-health-staff-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3834177}},{"tool":"search_jobs","arguments":{"company":"mcg.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3834177},"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. Docs: https://alion.io/developers"}}