Machine Learning Systems Engineer

Apple Inc.; Cupertino (CA); On-site; USD 147,400 - 272,100; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Job summary

A leading technology company is hiring a Machine Learning Systems Engineer in Cupertino, California. You will collaborate with Siri modeling teams to optimize model training and inference on Apple's custom Silicon. The ideal candidate has strong experience in ML models, with proficiency in Python and knowledge of various ML frameworks. The role offers competitive compensation and substantial benefits, including stock options and educational reimbursement.

Qualifications

• Experience in model lifecycle of training, evaluation, and deployment of models.
• Strong understanding of Machine Learning model architectures.
• Strong proficiency in Python and ML frameworks.

Responsibilities

• Work closely with Siri modeling teams and other cross-functional teams.
• Optimize model training and inference across the ML stack.
• Write production-level code to train and deploy models.

Skills

Model lifecycle experience

Machine Learning model architectures

Proficiency in Python

Collaborative skills

Expertise in ML optimization

Familiarity with ML training methodologies

Experience with LLM libraries

Compiled programming languages

Education

Bachelor's degree in Computer Science, Engineering, or related discipline

Tools

PyTorch

HuggingFace Transformers

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.