Machine Learning Researcher, Data and ML Innovation

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $150,400–$277,600 / yr
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k

This role $214k

$135k most similar roles pay here $293k

This role pays less than 56% of similar roles. Most pay $198,675–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $227k 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 2305 open roles on FindRole.

Listed pay typically runs $175,000–$280,000 across 1873 roles with salary data.

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At a glance

TL;DR · Machine Learning Researcher, Data and ML Innovation

Role Posting Log in to save

AIML - Machine Learning Researcher, Data and ML Innovation joins the Information Intelligence team to develop groundbreaking technologies for artificial intelligence, machine learning, and natural language processing. This role focuses on large-scale machine learning and deep learning to improve query understanding and ranking for search features across various products. You will build end-to-end production systems, develop and fine-tune domain-specific Large Language Models, and conduct applied research to transition generative AI into production-ready technologies. Key responsibilities include analyzing search relevance, managing data collection tools, and processing petabytes of data using Spark, Hadoop MapReduce, Hive, and Impala. The role requires expertise in information retrieval, data mining, and prompt engineering. Candidates should possess proficiency in Python, Go, Java, or C++ to solve complex problems involving word embeddings and online learning to satisfy diverse user intent and information-seeking needs.

Skills

Machine Learning Deep Learning Natural Language Processing Large Language Models Generative AI Python Go Java C++ Spark Hadoop MapReduce Hive Impala Information Retrieval Prompt Engineering Data Mining Word Embeddings

What you'll do

Develop, fine-tune, and evaluate domain-specific Large Language Models for various AI products.
Conduct applied research to transition generative AI research into production-ready technologies.
Build machine learning models for search relevance, ranking, and query understanding.
Translate product requirements into specific modeling tasks and engineering requirements.
Build end-to-end production systems for query understanding and ranking to power search features.
Perform distributed data processing using tools like Spark, Hadoop MapReduce, Hive, and Impala.
Integrate search functions into Apple products such as Siri, Spotlight, Safari, and Messages.

What we're looking for

PhD, MS, or equivalent experience.
Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining.
Experience in prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
Proficiency in Python, Go, Java, or C++.
Excellent data analytical skills (preferred).
Good interpersonal skills and team player (preferred).
A PhD is preferred.

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