Machine Learning Scientist Apple Services Engineering, GenAI & ML Frameworks

Apple Services GenAI u0026 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.. This role is part of the cross-LOB effort to support various GenAI use cases across ASE and specializes in improving LLM domain knowledge tool use reasoning and system integrationworking closely with product infra and foundation model teams to bring cutting-edge models into user-facing features at scale.

We are seeking a strong candidate who can operate end-to-end across model development and production integrationsomeone equally strong in (1) LLM training (domain-adaptive continual pretraining post-training preference optimization / RL such as GRPO-style methods) (2) agentic systems (tool schemas multi-turn reliability rubric- or verifier-based learning loops) and (3) deployment-aware optimization (latency/cost/reliability tradeoffs evaluation harnesses and iterative improvement from production signals). nnThe 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 programming skills in PythonnHands-on experience working with deep learning toolkits such as Jax Tensorflow or PyTorchnProven track record in training or deployment of large models or building large-scale distributed systemsnDeep understanding of Deep Learning and Large Language Models (LLMs)nNatural Language Processing

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