Senior Machine Learning Engineer, Worldwide Product Marketing

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $216,200–$324,800 / yr
Posted: 45 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k

This role $270k

$166k most similar roles pay here $342k

This role pays more than 88% of similar roles. Most pay $197,643–$254,750 — the shaded band above. At the midpoint, this role pays about $270k versus about $226k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Worldwide Product Marketing

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Senior Machine Learning Engineer - Worldwide Product Marketing will join the team to design and build scalable, production-ready AI/ML systems that drive business outcomes. The role involves taking algorithms from initial concept through deployment, focusing on feasibility, scalability, and performance. Key responsibilities include deploying and monitoring tools in production, improving ML infrastructure, and building agentic pipelines featuring tool use, memory, and multi-step reasoning. You will integrate LLM-powered features into systems while conducting rigorous model evaluation for quality, latency, and safety. Required skills include proficiency in Python, Java, or C++, experience with Spark, SQL, Snowflake, and frameworks like TensorFlow, PyTorch, or scikit-learn. Candidates should also be familiar with MLOps practices, CI/CD pipelines, and agentic frameworks such as LangChain, LlamaIndex, or AutoGen to automate complex business processes using large language models.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Python Java C++ LLM LangChain LlamaIndex AutoGen TensorFlow PyTorch scikit-learn Spark SQL Snowflake MLOps CI/CD MLflow Distributed Systems Feature Engineering

What you'll do

Deploy, monitor, and support AI tools in production environments to ensure reliability and performance.
Design and integrate LLM-powered features and AI agent workflows into production systems.
Build and maintain agentic pipelines that utilize tool use, memory, and multi-step reasoning for automation.
Conduct rigorous model evaluation, testing, and iteration to improve quality and efficiency.
Benchmark and evaluate LLM outputs for quality, latency, and safety in production contexts.
Translate complex business requirements into technical machine learning solutions.
Improve ML infrastructure, tooling, and best practices continuously.

What we're looking for

Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or a related field.
8 years of experience building high-throughput, scalable applications or machine learning models in production environments.
Proficiency in object-oriented programming languages such as Python, Java, or C++.
Experience building large-scale machine learning systems using big data technologies like Spark, SQL, or Snowflake.
Experience with ML frameworks including TensorFlow, PyTorch, or scikit-learn.
Familiarity with MLOps practices such as model versioning, CI/CD pipelines, and experiment tracking tools.
Experience building and deploying applications using large language models via APIs or self-hosted inference.
Hands-on experience with agentic frameworks like LangChain, LlamaIndex, or AutoGen to build multi-step AI workflows.

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