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Apple
Cupertino, California, United States
(on-site)
Posted
16 days ago
Apple
Cupertino, California, United States
(on-site)
Job Function
IT/Software Development
Machine Learning Systems Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Machine Learning Systems Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionAs a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you:
Minimum Qualifications
- Experience in model lifecycle of training, evaluation, and deployment of models
- Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop
- Strong proficiency in Python and ML framework such as PyTorch
- Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience
Preferred Qualifications
- Collaborative with experience working in large inter-teams projects
- Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding
- Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism
- Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
- Experience in optimizing LLM models and deploying LLM models
- Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
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 $181,100 and $272,100, 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 seek to promote 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 .
Job ID: 80702585

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
Every new product we invent, service we ...
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