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Machine Learning Engineer - Health AIMLApple • Cupertino, California, United States
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Machine Learning Engineer - Health AIML

Apple
  • US
    Cupertino, California, United States
  • US
    Cupertino, California, United States
Postuler Maintenant

À propos

Cupertino, California, United States Machine Learning and AI The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives. Description In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products. Minimum Qualifications 10+ years of overall software development experience. Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production. BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification). Preferred Qualifications Ph.D. in Computer Science, Machine Learning, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of hands‑on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications. Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface). Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi‑agent, RAG, tool use, memory management, etc.). Experience with healthcare data, products, and workflows. Ability to thrive in a fast‑paced environment, deal with uncertainty, and adapt to new and changing requirements. Proven track record of contributing to diverse teams in a collaborative environment. A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis.
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  • Cupertino, California, United States

Compétences linguistiques

  • English
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