{"id":3041121,"url":"https://alion.io/job/ifit-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer","company":{"id":179483,"name":"iFIT","domain":"ifit.com","url":"https://alion.io/company/ifit","size_band":"1001-5000","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":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":185000,"max":205000,"currency":"USD","period":"year","gross":null,"usd_annual":205000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-08-06T18:18:08Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-24T07:19:15Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.\nWe are currently seeking an ambitious pace-setter to join our team as a Principal Machine Learning Engineer remotely in the US.\niFIT is looking for a technically exceptional and strategic Principal Machine Learning Engineer to own the recommendation and search personalization strategy across our product surfaces. In this role, you will design and build end-to-end ML systems, drive relevance and ranking improvements through rigorous experimentation, and partner with Product and Engineering to translate model behavior into meaningful product outcomes that keep our members engaged and progressing on their fitness journeys.\nCOMPENSATION\n$185,000 - $205,000\nROLE COMMITMENTS\nOwn and drive the recommendation and search personalization strategy across all product surfaces\nBuild end-to-end ML systems - data pipelines, feature engineering, model training, and production serving - that scale with the platform\nDrive relevance improvements through rigorous experimentation, ensuring model gains translate to measurable user outcomes\nBuild a scalable, privacy-first ML architecture that addresses data access, compliance, and security requirements without slowing delivery\nRaise ML fluency across R&D - mentor engineers, contribute to hiring, and serve as the internal authority on ranking and personalization\nESSENTIAL DUTIES AND RESPONSIBILITIES\nOwn the recommendation and search personalization strategy across product surfaces - define the technical approach, prioritize experiments, and drive decisions from offline evaluation to real-world user impact.\nDesign and build end-to-end ML systems for ranking, retrieval, and personalization, including data pipelines, feature engineering, model training and evaluation, and production serving infrastructure.\nDrive relevance and ranking improvements through rigorous evaluation and experimentation - design experiments, interpret results, and iterate quickly in response to new content, user behavior, and product surfaces.\nPartner with Product and Engineering to translate model behavior into product outcomes, collaborate on integration, and ensure systems perform reliably in production.\nCollaborate with Data and Security to ensure safe, scalable personalization architecture that addresses data access, privacy constraints, and operational requirements as the platform grows.\nEDUCATION & EXPERIENCE\nEducation and Basic Qualifications\nDemonstrated experience building recommendation and/or search systems that operate in production at scale.\nStrong ML engineering fundamentals including ranking and retrieval concepts, feature engineering, model training and evaluation, and practical deployment considerations.\nProven ability to connect model improvements to measurable user and product outcomes through structured experimentation.\nStrong software engineering skills including building reliable pipelines and services, writing maintainable code, and debugging complex distributed systems.\nAbility to communicate clearly with Product and Engineering partners, explain trade-offs, and align cross-functional teams on direction.\nAuthorized to work in the United States without sponsorship.\nPreferred Qualifications\nExperience in health, fitness, or consumer-facing recommendation platforms.\nDISCLAIMER\nCompensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status.\nAlthough we currently may consider hiring in the states listed below, not all positions are available in all locations, and work in a particular state is not guaranteed. Current list of states where iFIT may consider hiring: AK, AL, AR, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, LA, MA, MD, MI, MN, MO, MS, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WY.\nSubject to applicable state laws, your employment at iFIT is \"at-will\". At-will employment means that you and the company each have the right to terminate the employment relationship at any time for any cause or for no cause at all.\nPay Range:\n$185,000—$205,000 USD\niFIT does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law.","description_format":"text","description_chars":4758,"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":false,"industries":["Fitness","Fitness Equipment"],"lifecycle":[{"event":"open","at":"2026-10-21T22:45:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 1","filings_12m":4,"filings_prev_12m":1,"green_card_filings_12m":1,"median_offered_wage_usd":139500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":4}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.679,"p_room":0.28,"age_days":78,"expected_fill_days":30,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":205000,"is_top_pay":false},"html_url":"https://alion.io/job/ifit-principal-machine-learning-engineer","json_url":"https://alion.io/job/ifit-principal-machine-learning-engineer.json","meta":{"generated_at":"2026-10-24T10:43:50Z","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":15412,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":179483},"rest":"https://alion.io/mcp/rest/get_company?id=179483"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fifit-principal-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%2Fifit-principal-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%2Fifit-principal-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/ifit-principal-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fifit-principal-machine-learning-engineer"}]}