Apple

Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

Apple

San Francisco•On-site•Salary•1-3 Yrs•2 hours ago

Apple Services GenAI & ML Frameworks team aims at bridging foundation model capabilities with real-world production systems.

The ideal candidate has a track record of turning LLM research into shipped capabilities, can partner effectively with product, infra, and foundation model teams, and can lead ambiguous cross-LOB initiatives from problem definition through execution and scaling. Experience building robust tooling around synthetic data generation, eval, and training pipelines for LLMs is strongly preferred, since this role is expected to raise the bar on both research velocity and production readiness.

BS/MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Proficient programming skills in Python
Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch
Proven track record in training or deployment of large models or building large-scale distributed systems
Deep understanding of Deep Learning and Large Language Models (LLMs)
Natural Language Processing
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 $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.

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