Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks
Apple · NY, US
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About the Role
The Apple Services GenAI & ML Frameworks team bridges foundation model capabilities with real-world production systems. This role specializes in improving LLM domain knowledge, tool use, reasoning, and system integration, working closely with product, infra, and foundation model teams to bring cutting-edge models into user-facing features at scale.
Responsibilities
- Operate end-to-end across model development and production integration.
- Improve LLM domain knowledge, tool use, reasoning, and system integration.
- Partner effectively with product, infra, and foundation model teams.
- Lead ambiguous cross-LOB initiatives from problem definition through execution and scaling.
- Build robust tooling around synthetic data generation, eval, and training pipelines for LLMs.
Requirements
- BS/MS in a quantitative field (Computer Science, Maths, Statistics, Physics, etc.).
- 3+ years of relevant work experience.
- Proficient programming skills in Python.
- Hands-on experience working with deep learning toolkits (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 expertise.
Skills
- LLM training (domain-adaptive continual pretraining, post-training, preference optimization / RL such as GRPO-style methods)
- Agentic systems (tool schemas, multi-turn reliability, rubric- or verifier-based learning loops)
- Deployment-aware optimization (latency/cost/reliability tradeoffs, evaluation harnesses, and iterative improvement from production signals)
- Python
- Jax
- Tensorflow
- PyTorch
- Deep Learning
- Large Language Models (LLMs)
- Natural Language Processing
- Synthetic data generation
- Evaluation
- Training pipelines
Experience Level
- 3+ years of relevant work experience
Education Level
- BS/MS in a quantitative field
- PhD in a quantitative field
About the Company
- Apple Services GenAI & ML Frameworks team aims at bridging foundation model capabilities with real-world production systems.
- The work spans LLM continual pretraining, posttraining, agentic reinforcement learning, agentic system optimization etc..