Senior ML Platform Engineer, Agentic Systems, Special Projects

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
180 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $255k
$167k most similar roles pay here $342k

This role pays more than 82% of similar roles. Most pay $194,262–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $225k for comparable roles.

Based on 240 similar postings.

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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 ML Platform Engineer, Agentic Systems, Special Projects

As a Senior ML Platform Engineer - Agentic Systems - Special Projects, you will join the Special Projects group to build tooling for model evaluation. This role focuses on developing platforms that serve integrations between robotics, generative AI, and data analysis. You will be responsible for designing, scaling, and operating backend infrastructure using Kubernetes and cloud-native technologies while implementing Python tooling for user-facing applications to accelerate model evaluation, testing, and validation. You will also integrate various models to improve the capabilities of systems employing machine learning. The role requires expertise in Python, relational database systems, large-scale web development, and API design. Candidates should possess experience moving AI systems from research to production. Preferred skills include React.js, robotics, embodied AI, or LLMs to support high-quality implementations for cross-functional partners.

What you'll do

  • Build and operate backend infrastructure using Kubernetes and cloud-native technologies.
  • Design, scale, and manage core infrastructure components to ensure system reliability and performance.
  • Develop Python tooling and large systems for user-facing applications to accelerate model evaluation.
  • Integrate various models into systems to improve capabilities of machine learning workflows.
  • Prototype and iterate on new ideas to deliver high-quality implementations for cross-functional partners.
  • Build tools that integrate robotics, generative AI, and data analysis.
  • Develop large-scale web applications and manage relational database systems.

What we're looking for

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of experience in the field.
  • Strong Python development experience.
  • Experience with infrastructure, cloud-native platform engineering, and Kubernetes deployment.
  • Experience with ML systems and model evaluation.
  • Experience with relational database systems and large-scale web development.
  • Industry experience bringing AI systems from advanced research to production.
  • Excellent team collaboration and communication skills.

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