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Commission Intersystems Cache Developer Jobs in California

Machine Learning Systems Engineer

Cupertino, CA · On-site

$147.40 - $272.10/hr

Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

... architectures (cache, memory hierarchy, data pipelines) and logic design Experience in silicon ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

... store execution, cache and memory subsystems Understanding of low power microarchitecture ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

... store execution, cache and memory subsystems Understanding of low power microarchitecture ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

... store execution, cache and memory subsystems Understanding of low power microarchitecture ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

... store execution, cache and memory subsystems Understanding of low power microarchitecture ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

... cache, memory hierarchy, data pipelines) and logic design Experience with bringing-up and testing ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

... Cache design/architecture and memory hierarchy Solid understanding of industry-standard design ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

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Machine Learning Systems Engineer

Apple Inc.

Cupertino, CA • On-site

$147.40 - $272.10/hr

Other

Medical, Dental, Retirement

Posted 6 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Description

As 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: Are not afraid of CUDA OOM or NCCL errors

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)

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $147,400 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.

Apple accepts applications to this posting on an ongoing basis.

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What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976