{"id":2732337,"url":"https://alion.io/job/apple-machine-learning-algorithm-engineer-2","title":"Machine Learning Algorithm Engineer","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":"B","score":80,"open_postings":987,"ghost_share":0,"stale_share":0.805,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cupertino, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":223000,"max_usd":420000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":451},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"C++","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-16T15:48:46Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T11:07:28Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join Apple's HID sensing and interaction algorithms team, which develops advanced sensing algorithms that enable best-in-class user experiences across Mac, iPhone, iPad, Apple Pencil, Apple Watch, and exciting new products. We are looking for a machine learning engineer with hands-on generative AI experience and a strong foundation in signal processing, who is excited to apply both to how people interact with Apple products.\nOur team draws from diverse backgrounds: signal processing, machine learning, firmware, software engineering, physics, human factors, and more; all dedicated to inventing new ways users interact with Apple products. You will work at the intersection of hardware, software, and design, collaborating with specialists across Apple to ship extraordinary products to millions of users every year.\nDescription\nIn this role, you will help explore how generative AI can advance sensing and interaction. You will research, develop, and evaluate generative models and AI systems for physical signals such as time series and images. Success here is measured by real-world impact on products and users, not by leaderboard numbers. That takes a deep understanding of the signals you model and statistical rigor in how you judge results. These are challenging, open-ended problems, and we are looking for someone with the persistence to carry an idea all the way into production.\nYou will also bring a solid understanding of physical signals and signal processing, and use it to develop sensing algorithms for products. You will collaborate with algorithm, firmware, and software engineers to deliver features from prototyping through production.\nWe value engineers who check their claims against real data, report negative results honestly, and explain technical findings clearly to people outside their field.\nMinimum Qualifications\nBS in Computer Science, Electrical Engineering, or a related STEM field with a minimum of 3 years of relevant industry or research experience\nHands-on experience developing generative AI models or systems that go beyond tutorials, such as through shipped products, publications, or substantial projects\nExperience working with real-world sensor or physical measurement data. Strong understanding of physical signals such as time series and images, and how their structure and noise shape what a model learns\nSolid foundation in digital signal processing and time-series analysis, such as filtering, spectral analysis, and feature extraction\nStrong Python programming skills and proficiency with a modern deep learning framework such as PyTorch\nPreferred Qualifications\nMS or PhD in machine learning, signal processing, electrical engineering, physics, or a related field, with publications, open-source contributions, or shipped products in generative AI\nExperience training generative or other ML models on time-series, sensor, audio, or image data, including at scale on GPU clusters\nStatistical rigor in designing experiments and evaluations and in interpreting their results, backed by reproducible research practices\nExperience using LLM-based AI assistants and agents to accelerate research and development work, such as coding, data analysis, and experiment automation\nProficiency in C/C++, and familiarity with embedded or resource-constrained systems\nDemonstrated persistence in driving a challenging project from idea to production or real-world deployment\nExcellent communication and cross-functional collaboration skills across algorithms, firmware, and software disciplines","description_format":"text","description_chars":3537,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-10-16T18:13:55Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6,350 · green card filings: 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