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Machine Learning Scientist

Apple· Apple Services GenAI & ML Frameworks
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Hybrid (New York City, NY)$184.7k - $324.8kFull-timePosted 2w ago

About the role

Role within Apple Services GenAI & ML Frameworks focusing on bridging foundation model capabilities with real-world production systems, end-to-end across model development and production integration, emphasizing LLM training, agentic systems, and deployment-aware optimization.

Responsibilities

  • Operate end-to-end across model development and production integration
  • 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, iterative improvement from production signals)
  • Partner with product, infra, and foundation model teams to ship features at scale
  • Build robust tooling around synthetic data generation, eval, and training pipelines for LLMs
  • Lead ambiguous cross-LOB initiatives from problem definition through execution and scaling
  • Demonstrate track record of turning LLM research into shipped capabilities

Qualifications

  • BS/MS in a quantitative field (CS, Maths, Statistics, Physics, etc.)
  • 3+ years of relevant work experience
  • Proficient programming in Python
  • Hands-on experience 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

Skills

Required:PythonDeep Learning FrameworksLLM Training & Deployment
Nice to have:Agentic Systems & Tooling

Benefits

  • Apple Benefits (comprehensive medical and dental coverage, retirement benefits, discounts on products and services, educational expense reimbursement)
  • Discretionary bonuses or commission payments (where eligible)
  • Relocation assistance (where eligible)
  • Employee stock programs (discretionary RSUs, Employee Stock Purchase Plan)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About Apple

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