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Senior Machine Learning Engineer

2 months ago

Seattle, Washington, United States Apple, Inc. Full time
About the Role

We are seeking a highly motivated and experienced Principal Machine Learning Engineer to join our Machine Learning Platform Technology (MLPT) team at Apple, Inc.

Key Responsibilities
  • Stay up-to-date on the latest advancements in AI and machine learning research, and explore their potential application within the company.
  • Collaborate with ML engineers, software engineers, and product managers to ensure the ML Platform can quickly adapt to the needs of evolving AIML landscape.
  • Work with Apple's ML product and service teams to understand their machine learning journey and needs, help them use ML Platform features efficiently, and translate their needs into ML Platform features.
  • Help improve machine learning team improve training efficiency by Implementing and optimizing their workflow, algorithms, and techniques.
Requirements
  • 5+ years of experience working on AI or machine learning areas, with strong engineering background
  • Proven track record building and deploying end-to-end ML solutions in production environments
  • Experience in instrumenting, measuring, and continuously improving the performance of ML applications
  • Deep understanding of machine learning algorithms and techniques, and a keen interest in staying current with the latest advancements in AI technologies
  • Excellent programming skills in Python (or a similar language) and familiarity with machine learning libraries (e.g.,TensorFlow, PyTorch, or JAX)
  • Excellent communication and collaboration skills
  • Bachelors degree in Computer Science, Engineering
Preferred Qualifications
  • Solid software engineering foundation with experience in building scalable and maintainable systems
  • Experience with data wrangling, pre-processing, and feature engineering
  • Master's degree in Computer Science, Engineering, or equivalent experience in related fields
What We Offer
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments
  • Relocation assistance