Senior Machine Learning Engineer
6 days ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our On-Device Machine Learning team at Apple Inc. The successful candidate will be responsible for designing and implementing features that accelerate and compress large state-of-the-art models in our on-device inference stack.
Key Responsibilities- Design and implement features for our on-device inference stack to support accuracy-preserving techniques that empower model developers to compress and accelerate state-of-the-art models.
- Build machine learning compilers, runtimes, execution kernels, and optimizations on ML models, as well as tooling for debugging and visualization of ML models.
- Convert models from high-level ML frameworks to target devices (CPU, GPU, Neural Engine) for optimal functional accuracy and performance.
- Write unit and system integration tests to ensure functional correctness and avoid performance regressions.
- Diagnose performance bottlenecks and work with hardware and software architecture teams to co-design solutions that improve latency, power, and memory footprint of neural network workloads.
- Analyze the impact of model optimization on model quality by partnering with modeling and adaptation teams across diverse product use cases.
- Bachelor's, Master's, or Ph.D. in Computer Science or related fields.
- At least 4 years of experience in Machine Learning Engineering, System Software Engineering, or related fields.
- Strong proficiency in C/C++ and Python.
- Familiarity with ML fundamentals.
- Familiarity with developing or using ML frameworks.
- Experience with PyTorch/JAX Machine Learning frameworks.
- Experience with machine learning model inference (serving) is a plus.
- Experience with MLIR/LLVM compiler technologies is a plus.
- Experience with on-device machine learning or system software design is a plus.
- Experience with Swift is a plus.
- Passion for designing software systems, APIs, and extensible products.
- Comprehensive medical and dental coverage.
- Retirement benefits.
- A range of discounted products and free services.
- Reimbursement for certain educational expenses related to advancing your career at Apple.
- Discretionary bonuses or commission payments.
- Relocation assistance.
We are 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.
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