Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

Apple Inc.; New York (NY); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Tuition reimbursement

Job summary

Apple Services GenAI & ML Frameworks in New York City is seeking a Machine Learning Scientist who can lead end-to-end work from model development to production integration, with emphasis on LLM training, agentic systems, and deployment-aware optimization.

You will turn research into shipped capabilities, collaborate with product, infra and foundation model teams, and help scale cutting-edge models into user-facing features at Apple.

Qualifications

• Proficient in Python and deep learning concepts.
• Experience with training or deployment of large models.
• Strong understanding of LLMs and NLP principles.

Responsibilities

• Operate end-to-end across model development and production integration.
• Collaborate with product, infra, and foundation model teams.
• Build robust tooling for synthetic data generation, eval, and training pipelines.

Skills

Python

Large Models

LLMs

Natural Language Processing

Deep Learning

Tools

Jax

TensorFlow

PyTorch

Job description

Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

New York City, New York, United States Machine Learning and AI

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.. 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 integration—working closely with product, infra, and foundation model teams to bring cutting-edge models into user-facing features at scale.

Description

We are seeking a strong candidate who can operate end-to-end across model development and production integration—someone 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).The 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.

Minimum Qualifications

• Proficient programming skills in Python
• Hands-on experience working with deep learning toolkits such as 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

Preferred Qualifications

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
• Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
• Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.
• You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.
• Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
• Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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