Machine Learning Engineer, Proactive

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $212,000–$318,400 / yr
Posted: 4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k

This role $265k

$154k most similar roles pay here $336k

This role pays more than 85% of similar roles. Most pay $183,543–$249,750 — the shaded band above. At the midpoint, this role pays about $265k versus about $217k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Proactive

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As a Machine Learning Engineer at Apple’s AIML Information Intelligence team, you will join a dynamic group focused on developing cutting-edge AI technologies for universal search features across various Apple products. Your primary responsibilities include conducting research and development on state-of-the-art deep learning and large language models (LLMs) to enhance Open Domain Question Answering and Summarization capabilities. You will work closely with researchers and data scientists to fine-tune LLMs, evaluate their performance, and ensure they meet the needs of Apple’s AI-powered products. This role requires expertise in Python and frameworks like TensorFlow, PyTorch, or JAX, as well as hands-on experience in modeling user behavior and personalization techniques. You will contribute to large-scale model training and deployment while staying abreast of the latest advancements in deep learning and LLMs.

Skills

Python TensorFlow PyTorch JAX LLM NLP RLHF Reward_model DPO PPO GRPO LoRA CI/CD

What you'll do

Conduct research and development on state-of-the-art deep learning and large language models for Apple’s AI-powered products.
Develop, fine-tune, and evaluate domain-specific Large Language Models for NLP tasks like summarization and question answering.
Translate product requirements into modeling and engineering tasks for machine learning projects.
Stay updated with the latest advancements in deep learning and large language models to inform research and development.
Conduct applied research to transfer cutting-edge generative AI research to production-ready technologies.

What we're looking for

Master’s degree in Computer Science, AI, Machine Learning or related field.
10 years of experience in machine learning, deep learning or a related field.
Experience in developing large language models for NLP tasks and RAG applications.
Hands-on experience with Python and at least one deep learning framework (TensorFlow, PyTorch, JAX).
Expertise in modeling user behavior including personalization, online learning, and recommendation systems.
Conduct applied research to transfer cutting-edge generative AI research to production technologies.