Machine Learning Engineer

Apple Inc.
Cupertino, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$184,700.0
Working hours
Regular working hours

Tech stack

Apple Products Systems Engineering C++ (Programming Language) Profiling Nvidia CUDA Software Debugging Distributed Computing Environment High-Level Architecture Python (Programming Language) Machine Learning Performance Tuning Data Processing
+4 more
Data Ingestion Pytorch Machine Learning Operations Data Pipelines

Job description

In this role you will work together with colleagues to design, scale, and harden the systems that bring ML-based video approaches into current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the intersection of ML, systems engineering, and performance optimization. Strong engineering and analytical skills will be critical towards solving challenging problems across efficiency optimization, training, data, and deployment.

Responsibilities:

Design, build, test, and scale ML systems: training infrastructure, data ingestion and curation pipelines, power and performance optimization for inference, ML model development

Collaborate closely with team members and cross-functional teams to achieve quality, throughput, computational requirements, and robustness towards shipping the technology

Communicate: demonstrate the technology, present to leadership, share progress with colleagues, and so on

Requirements

MS specializing in ML systems, performance engineering, or a related area

Experience implementing custom ops in CUDA or low-level GPU kernel optimization

Research experience in ML model design

Experience with visual data (e.g. images/videos/3DGS) and related vision algorithms

Experience with distributed training, large-scale data pipelines, inference serving

Excellent written and oral communication skills, BS and 10+ years of hands-on industry experience building production ML systems, with a proven track record of design/implementation leadership

Deep familiarity with in of ML-centric flows and best practices: training procedures, dataloaders, profiling and debugging methodology, data handling, model development, model deployment

Proficiency in Python, C++, PyTorch

Familiarity with computer architecture principles

Proficiency in AI tooling such as Claude and excellent high-level design skills - allowing building robust, modular, clean, and well-tested code

Benefits & conditions

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 $184,700 and $324,800, 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

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