Machine Learning Engineer, Agentic AI

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$150,400–$277,600 / yr
Posted
125 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $214k
$135k most similar roles pay here $293k

This role pays more than 57% of similar roles. Most pay $180,000–$246,150 — the shaded band above. At the midpoint, this role pays about $214k versus about $213k 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 · Machine Learning Engineer, Agentic AI

Machine Learning Engineer - Agentic AI joins the VCV organization to develop and integrate large language models and advanced AI techniques into agentic systems. This role involves designing and building end-to-end systems that combine LLMs, tools, and data systems to execute multi-step workflows in production environments. The engineer will be responsible for creating system behaviors such as planning, tool use, structured outputs, and failure handling while balancing trade-offs between latency, cost, accuracy, and controllability. Key responsibilities include building infrastructure for evaluating performance, developing monitoring and observability systems, and integrating LLMs with internal and external tools to retrieve context or call APIs. The role requires proficiency in LLM-assisted coding and experience with computer vision and machine learning systems to solve complex problems by translating product requirements into reliable, scalable, and automated agentic workflows.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Design and implement end-to-end agentic systems that integrate LLMs, tools, and data systems.
  • Build multi-step workflows featuring planning, tool use, structured outputs, and failure handling.
  • Develop infrastructure to evaluate and improve system quality, reliability, and cost performance.
  • Create monitoring and observability systems to track agent behavior in production environments.
  • Integrate LLMs with internal and external APIs to enable context retrieval and action execution.
  • Balance trade-offs between latency, cost, accuracy, and controllability in system design.
  • Translate complex product requirements into scalable, multi-component technical architectures.

What we're looking for

  • Proven knowledge of cutting-edge agentic systems.
  • Demonstrated experience designing and shipping agentic systems in production environments.
  • Strong proficiency with LLM-assisted coding using AI tools to design, implement, and iterate on complex systems.
  • Proven ability to design end-to-end systems and make architectural decisions across multiple components like services and data pipelines.
  • A track record of building and shipping agentic or LLM-based products with a visible portfolio or recognized contributions.
  • Experience developing and deploying computer vision and machine learning (CVML) systems in production environments.
  • Strong system design experience for complex, multi-component systems.
  • Experience taking products from concept to launch, including delivering user-facing applications at scale.

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