• ML Framework (MetalLM) Engineer

    AppleCupertino, CA 95015

    Job #2714776655

  • ML Framework (MetalLM) Engineer

    Cupertino,California,United States

    Software and Services

    Apple's ML Frameworks team in GPU, Graphics and Displays org provides GPU acceleration for popular Machine learning libraries such as TensorFlow, PyTorch and JAX using Metal runtime and device backend. It optimizes compute performance with kernels and computational graphs that are fine-tuned for the unique characteristics of each Metal GPU family. We are always looking for exceptionally dedicated individuals to grow our outstanding team.

    Description

    Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating Machine learning libraries on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures. Responsibilities: * Work on cutting-edge ML inference framework project and optimize code for efficient and scalable ML inference using distributed techniques such as Data parallelism * Design and develop compiler based optimizations for Metal backend in ML frameworks such as torch.compile for PyTorch * Implement features of Metal device backend for ML training acceleration technologies * Work with Core teams of PyTorch, JAX or Tensorflow to provide Metal runtime and device backend support * Tune GPU-accelerated training across products. * Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.

    Minimum Qualifications

    • 3+ years of programming and problem-solving experience with C/C++/ObjC

    • Contributions to an AI framework such as PyTorch , JAX or Tensorflow

    • Experience with graph compilers such as Triton, OpenXLA or LLVM/MLIR is a plus

    Key Qualifications

    Preferred Qualifications

    • Experience with Distributed training or inference techniques is a plus

    • GPU compute programming models & optimization techniques

    • Good understanding of machine learning fundamentals.

    • Experience with system level programming and computer architecture.

    Education & Experience

    Additional Requirements

    Pay & Benefits

    • 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 $138,900 and $208,300, 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 take affirmative action to ensure 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. (~~~)

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    Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

    Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

    Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

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    Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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