Job Details

ML Infrastructure Engineer - SPG

Cupertino, California, United States
ML Infrastructure Engineer - SPG Santa Clara Valley (Cupertino),California,United States Machine Learning and AI + Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.). + Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.) + Familiarity with GPU computing. + Solid software engineering skills in complex, multi-language systems. Fluency in Python. + Building end to end data systems as an ML Engineer, Platform Engineer, or equivalent. + Experience working with cloud data processing technologies (Spark, Dask, ElasticSearch, Presto, SQL, etc.). + Excellent debugging and critical thinking skills. + Excellent analytical and problem-solving skills. + Ability to work in a fast paced, team-based environment. Description Build and integrate end to end lifecycles of large-scale, distributed machine learning systems using the latest open source technologies Improve distributed cloud GPU training approaches for deep learning model Build software that improves your rate of experimentation and helps you make better decisions about what to try next Train, evaluate, and debug deep learning models for complex tasks Develop tools and services for improving ML systems beyond modeling choices Data distribution editing, data quality improvements, and representation learning with self-supervision Architect the end-to-end platform that supports MLOps Collaborate with engineers across functions to solve complex data problems at scale Identify and evaluate new patterns and technologies to improve performance, maintainability and elegance of our machine learning systems Lead technical projects to completion. Communicate with peers to build requirements and track progress Mentor fellow engineers in your areas of expertise - Contribute to a team culture that values effective collaboration, technical perfection, and innovation Education & Experience Bachelors, Masters, or PhD Degree in Computer Science/Machine Learning or equivalent professional 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 $130,000 and $242,000, 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 Footer 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. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . 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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