Machine Learning Engineer, Advanced Analytics

Apple Inc

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$184,700–$324,800 / yr
Posted
11 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $255k
$159k $343k
below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $194,375–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $225k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Advanced Analytics

Role Posting Log in to save

The Machine Learning Engineer, Advanced Analytics joins the Sales and Ops Engineering team within the Information Systems and Technology organization. This role focuses on applying Generative AI and Machine Learning to solve complex supply chain challenges, including demand forecasting, inventory optimization, and logistics planning. You will design and develop scalable models, integrate analytics solutions into enterprise systems, and guide data strategies for robust deployment. The position requires expertise in Python, C++, TensorFlow, or PyTorch, along with skills in NLP, anomaly detection, large language models, and agentic systems. Candidates must navigate large-scale enterprise environments using SQL, Spark, graph databases, and MLOps. You will translate complex technical concepts into actionable insights to influence strategic decision-making across global operations and supply chain infrastructure.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

Skills

Generative AI Machine Learning Python PyTorch TensorFlow NLP Large Language Models MLOps SQL Spark C++ Retrieval-Augmented Generation Graph Databases Reinforcement Learning Deep Learning Prompt Engineering Agentic Systems

What you'll do

  • Design and develop advanced machine learning and Generative AI models for supply chain use cases like demand forecasting and inventory optimization.
  • Integrate analytics solutions into existing enterprise systems by working with engineering and application development teams.
  • Ensure all analytics solutions are scalable for deployment across large and complex enterprise environments.
  • Identify high ROI opportunities for GenAI and deliver critical projects over a multi-year development horizon.
  • Guide partner teams on data strategy and infrastructure to support experimentation and robust enterprise-scale deployment.
  • Communicate technical results and insights to senior leadership to influence strategic decision-making.
  • Provide technical guidance and mentorship to team members to support the growth of the analytics team.

What we're looking for

  • MS in Computer Science, Machine Learning, Applied Math, or a related field.
  • 5+ years of industry experience developing Machine Learning Solutions.
  • Hands-on experience in Python as a programming language.
  • Experience deploying ML solutions to production.
  • PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field (preferred).
  • 10+ years of experience building and deploying production machine learning systems using Python, C++, TensorFlow, or PyTorch (preferred).
  • Deep expertise in ML, deep learning, NLP, anomaly detection, LLMs, and Generative AI (preferred).
  • Experience with scalable data and ML infrastructure, including SQL, Spark, graph databases, cloud platforms, and MLOps (preferred).

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