Machine Learning Scientist, GenAI & ML Frameworks

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$181,100–$318,400 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $250k
$154k most similar roles pay here $336k

This role pays more than 82% of similar roles. Most pay $196,750–$249,750 — the shaded band above. At the midpoint, this role pays about $250k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1848 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1512 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Scientist, GenAI & ML Frameworks

The Machine Learning Scientist role at Apple Services Engineering's GenAI & ML Frameworks team involves bridging foundational model capabilities with real-world production systems. This senior position focuses on continual pretraining and post-training of large language models (LLMs), agentic reinforcement learning, and system optimization to enhance tool use and reasoning in user-facing features. The ideal candidate will work closely with product, infrastructure, and foundation model teams to integrate cutting-edge LLMs into scalable production systems. Key responsibilities include developing robust training pipelines, synthetic data generation tools, evaluation harnesses, and iterative improvements based on real-world signals. Proficiency in Python, deep learning toolkits like Jax, TensorFlow, or PyTorch, and a strong background in deep learning and NLP are essential. Experience with large-scale distributed systems and a track record of translating LLM research into practical applications is highly valued.

What you'll do

  • Develop and refine LLMs through continual pretraining and post-training techniques.
  • Implement agentic reinforcement learning methods to enhance model reasoning capabilities.
  • Optimize deployment of large models for latency, cost, and reliability trade-offs.
  • Collaborate with product teams to integrate advanced AI features into user-facing products.
  • Build robust tooling for synthetic data generation and evaluation pipelines for LLMs.
  • Lead cross-functional initiatives from problem definition through execution and scaling.

What we're looking for

  • BS/MS in a quantitative field such as Computer Science, Math, or Statistics.
  • Proficient in Python and deep learning toolkits like Jax, TensorFlow, or PyTorch.
  • Experience training large models and building large-scale distributed systems.
  • Strong understanding of Deep Learning and Large Language Models (LLMs).
  • Track record of turning LLM research into production capabilities.

More like this

Similar roles

Machine Learning Engineer, Apple Services Engineering

Apple Inc

Seattle, WA 40 days ago $171,600$302,200
Python PyTorch scikit-learn numpy pandas Spark Hadoop Kafka MLOps A/B testing CI/CD Docker Kubernetes AWS Azure Google Cloud Platform PostgreSQL MongoDB Redis Git Jenkins