ML Systems Engineer: Scale Training & Inference on Custom Silicon

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

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.