Apple · 1 day ago
AIML - Sr Machine Learning Engineer, Data and ML Innovation
Apple is seeking a Senior Machine Learning Engineer to contribute to the development of Foundation Models and AI capabilities. The role involves driving ML innovations, designing training pipelines, and collaborating with various teams to enhance model quality and performance.
Artificial Intelligence (AI)Digital MediaElectronicsMedia and EntertainmentAppsBroadcastingDigital EntertainmentFoundational AIMobile DevicesOperating SystemsTVWearables
Responsibilities
Model Training & Optimization
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
Agent & Environment Infrastructure
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
Qualification
Required
5+ years of hands on ML engineering experiences, with at least 1+ years working directly on large language models or generative AI
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field — or equivalent practical experience
Hands-on experience with LLM training workflows, including one or more of: 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.)
Preferred
Direct experience with agentic systems, including tool use, environment design, or reinforcement learning
Experience with building or operating training environments or simulators (gym-style, tool-based, or sandboxed environments)
Experience with model hillclimbing workflows: systematic experimentation, ablations, dataset iteration, and continuous quality improvement
Ability to work across research and engineering boundaries, turning ideas into scalable systems
Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase