Senior ML Engineer, LLMs & Agentic Systems

Apple, Inc.; Seattle (WA); Vor Ort; USD 150.000 - 278.000; Vollzeit

Benefits dieser Stelle

Stock programs

Medical and dental coverage

Retirement benefits

Educational expense reimbursement

Discretionary bonuses or commission (P

Relocation assistance

Zusammenfassung

Apple is seeking a Senior Machine Learning Engineer for AIML - FM Data, focusing on foundations models, training pipelines, and agentic systems. You will contribute to model hillclimbing and evaluation frameworks, collaborating with research and infrastructure teams to ship robust ML capabilities into Apple products.

The role blends deep modeling with engineering excellence, shaping the ML platform powering Apple experiences while advancing state-of-the-art training techniques and scalable

Qualifikationen

• 5+ years of hands on ML engineering experiences, with at least 1+ years working directly on large language models or generative AI.
• Hands-on experience with LLM training workflows, including Pretraining or continued pretraining, Supervised fine-tuning (SFT), Preference optimization (e.g., RLHF, DPO, PPO).
• Strong software engineering fundamentals: debugging, testing, code reviews, and production reliability.
• Demonstrated publication records in relevant conferences (e.g., NeurIPS, ICML, ICLR, etc.).

Aufgaben

• Design and implement large-scale LLM pretraining and post-training pipelines, including supervised fine-tuning, preference optimization, and continual learning.
• Drive model hillclimbing through disciplined experimentation: dataset curation, hyperparameter tuning, and ablation studies.
• Work on scalable training workflows using distributed frameworks.
• Evaluation, Reward, and Data Systems
• Develop evaluation frameworks for both offline benchmarks and online metrics, covering reasoning, tool use, and task success.
• Design and maintain verifiers / rubric-based reward systems for agentic tasks and model alignment.
• Build data pipelines for data generation, filtering, labeling, and replay buffers.
• Build and maintain agent training environments, including tool APIs, simulators, and sandboxed runtimes.
• Implement environment abstractions to support reinforcement learning and agent evaluation at scale.
• Collaborate on large scale RL-infra: RL-trainer, rollout system, and containerized environments.

Kenntnisse

LLM training workflows

Distributed training frameworks

Software engineering fundamentals

Research publications

ML system troubleshooting

Ausbildung

Bachelor’s / Master’s / PhD in CS/ML or equivalent

Tools

Training environments / simulators

Jobbeschreibung

Apple is seeking a Senior Machine Learning Engineer for AIML - FM Data, focusing on foundations models, training pipelines, and agentic systems. You will contribute to model hillclimbing and evaluation frameworks, collaborating with research and infrastructure teams to ship robust ML capabilities into Apple products.

The role blends deep modeling with engineering excellence, shaping the ML platform powering Apple experiences while advancing state-of-the-art training techniques and scalable