{"id":2968780,"url":"https://alion.io/job/apple-ml-data-scientist","title":"ML - Data Scientist","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":95,"open_postings":797,"ghost_share":0.001,"stale_share":0.001,"repost_share":0.004,"time_to_fill_p50_days":117,"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":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":235000,"max_usd":450000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Diffusion Models","optional":true},{"name":"VLM","optional":true}],"status":"live","first_seen_at":"2026-10-21T00:58:16Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T18:07:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Do you want to decide whether a generative imaging feature is good enough to ship? Our team evaluates generative image and video features. These features reach a very large number of people on Apple devices. You will build the evaluation systems, human-annotation programs, and automated metrics that turn \"this looks better\" into measurable, trustworthy quality signals. Those signals guide model development and release decisions.\nDescription\nYou'll own quality evaluation end to end - from evaluation set design through annotation, scoring, analysis, and the recommendations that shape what engineering and product build next. Your findings determine which models ship.\nWhat you'll do\nBuild the measurement foundation. Design and maintain golden sets and evaluation sets, analyzing data distributions so results stay representative and known defects stay covered.\nRun human evaluation at quality. Write and iterate annotation guidelines and label schemas, build or adapt lightweight labeling tools for image and video review, monitor annotator quality, and resolve disagreements and guideline ambiguity.\nAutomate the repeatable parts. Develop automated metrics and LLM-as-judge systems, calibrate them against human labels, and track where they diverge.\nMake the results decision-ready. Report model-vs-model comparisons with confidence intervals, significance testing, and breakdowns by hotspot, content type, and failure mode - then turn them into root-cause findings and prioritized recommendations.\nSet the bar with your partners. Work with ML, engineering, and design to define quality standards, and communicate results clearly to technical and non-technical audiences alike.\nMinimum Qualifications\nMS and a minimum of 5 years relevant industry experience\n5+ years of experience in data science, machine learning evaluation, algorithm analysis, or related technical disciplines.\nExperience designing and analyzing evaluations and experiments, especially for ML or generative model quality. This includes sampling design, significance testing, and confidence intervals.\nStrong Python skills and comfort with SQL, with the ability to build and maintain evaluation pipelines and small tools.\nFamiliarity with AI-assisted analysis workflows, foundation models, agentic systems, or intelligent automation approaches for technical problem solving.\nPreferred Qualifications\nExperience evaluating 3D Gaussian splats or diffusion models, or assessing perceptual quality.\nExperience building LLM or VLM judges and validating them against human ratings.\nExperience building web-based labeling or review tools.\nAbility to run several work-streams in parallel and prioritize them.\nProven cross-functional collaboration and the ability to learn new tools quickly.\nStrong written and verbal communication, including explaining statistical tradeoffs to engineers and product partners.","description_format":"text","description_chars":2877,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-10-21T01:17:06Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6,350 · green card filings: 37","filings_12m":6350,"filings_prev_12m":6527,"green_card_filings_12m":37,"median_offered_wage_usd":177355,"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":2959}],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":1,"expected_fill_days":117,"reasons":["conf:1","urgency","velocity","win:early","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/apple-ml-data-scientist","json_url":"https://alion.io/job/apple-ml-data-scientist.json","meta":{"generated_at":"2026-10-22T19:41:56Z","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":3165,"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":12},"rest":"https://alion.io/mcp/rest/get_company?id=12"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapple-ml-data-scientist"},{"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%2Fapple-ml-data-scientist"},{"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%2Fapple-ml-data-scientist"},{"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/apple-ml-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapple-ml-data-scientist"}]}