SummaryPosted: Aug 29, 2024
Weekly Hours:
40Role Number:
200565077As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does world class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. An engineer in this position will work with researchers across the Machine Learning Research group to build tools and infrastructure to support and accelerate large scale research pipelines across the group. Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems at hand. They will learn industry standard and custom tools/infrastructure to build these solutions. This work will directly benefit the researchers across our team and all of Apple.
DescriptionWe are looking for highly motivated, result-oriented engineers with a strong background in system engineering and machine learning software development to join our team. In this position you will help build and deploy software to solve a variety of high performance computing needs including large-scale distributed ML training and research. * Work with researchers on the team and partner teams across the company to build custom high performance and scalable ML research pipeline solutions * Apply solid software engineering skills and best practices to make reliable software that solves problems * Be part of a small team dedicated to improving ML through software engineering * Make ML solutions across Apple work well for all of our many users Is this you? If so we'd love to hear from you.
- Knows fundamentals of object-oriented software design and programming
- Experience with large-scale ML data and model pipelines
- Excellent communication and cross-functional collaboration skills
- Inquisitive in pursuit of excellence, able to demonstrate strong sense of curiosity
- You have an insatiable appetite to debug and figure out why the thing you’ve built do not work as expected
Preferred Qualifications- Previous experience with large scale machine learning infrastructure and Docker
- Understanding of large scale distributed systems and compute infrastructure
- Experience with cloud computing services (AWS, GCP) and Kubernetes based deployments
- Proficient with Python
- 5 years industry experience.
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 $143,100 and $264,200, 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.
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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.
