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Machine Learning EngineerApple • San Francisco, California, United States
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Machine Learning Engineer

Apple
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Apply Now

About

San Francisco Bay Area, California, United States – Corporate Functions
We are seeking a passionate, highly motivated, hands‑on Applied Machine Learning Engineer to assist our Online Retail Decision Automation team by researching and developing the next generation of algorithms that drive the Apple Online experience. Your work will span product search, recommendation systems, personalization, generative AI and system optimization.
Description To be successful, candidates will need a machine learning background, proven software development skills, and a passion for learning. Candidates must collaborate with cross‑functional teams, including researchers, engineers, data scientists, analysts, and product managers, to develop and implement machine learning algorithms and testing workflows.
Responsibilities
Collaborate with other MLEs to build scalable, production‑ready ML solutions, taking algorithms from concept through deployment.
Contribute to the ongoing improvement of our ML infrastructure and tooling.
Engage in continuous learning and development, staying up‑to‑date with the latest advances in machine learning and software engineering.
Minimum Qualifications
4+ years of related experience building high‑throughput scalable applications or machine learning models.
Proficiency in one or more object‑oriented programming languages such as Python, Java, C++ and experience building distributed systems.
Experience building data processing pipelines and large‑scale machine learning systems with big‑data technologies such as Spark, SQL, Snowflake/Hadoop, etc.
Skilled in communication, problem solving, strategic thinking.
Attention to detail, data accuracy and quality of output.
Preferred Qualifications
PhD or graduate degree with research/work experience utilizing data science techniques (e.g., Computer Science, Statistics, Biology) or a bachelor’s degree with equivalent experience.
Experience in search, recommender systems, personalization, computational advertising or NLP, including RAG‑based generative AI and transformer architectures.
Skilled in communication, problem solving, critical thinking.
Experience using deep learning, bandits, probabilistic graphical models, or reinforcement learning in real applications.
Experience with Spark, TensorFlow, Keras, and PyTorch.
Base pay ranges from $147,400 to $272,100, depending on skills, qualifications, experience, and location. Employees may also participate in Apple’s discretionary employee stock programs, purchase stock at a discount, and receive benefits including comprehensive medical and dental coverage, retirement benefits, discounted products, free services, and tuition reimbursement. Additional incentives such as discretionary bonuses, commissions, or relocation may be available.
Apple is an equal‑opportunity employer 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.
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  • San Francisco, California, United States

Languages

  • English
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