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Lead Forward Deployed Engineer, AI Evaluation Platform

Pay not postedSeattle, WAFull-time

Lead Forward Deployed Engineer for Apple's AI evaluation platform, acting as the strategic bridge between science, platform engineering, and partner teams.

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At a glance

Posted base pay

Not posted

The work

Builds for teams inside the company

Balance Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Configuration only
Builds for
Internal teams
Level
Staff+
Role
Technical lead

What they ask for

Experience

  • 5+ yearsSolutions Architecture, Forward-Deployed Engineering, Developer Advocacy, Technical Program Management, or a related highly technical, cross-functional role

Background

  • Solutions and customer engineering
  • Forward deployed engineering

Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The job is in Seattle, WA. Could you work there?

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Conditions

Location
Seattle, WA
Employment type
Full-time

More like this

What you’ll do

  • Lead solutions and adoption strategy for AI evaluation platform, acting as connective tissue between science, platform engineering, and partner teams
  • Partner with Science, Platform Engineering, and Product Management to ensure building and adopting the right solutions
  • Serve as technical bridge between research organization and broader engineering ecosystem, ensuring seamless integration with existing ML infrastructure and developer workflows
  • Work hands-on with ML practitioners across Apple to operationalize sophisticated measurement techniques

What you’ll bring

  • 5+ years in Solutions Architecture, Forward-Deployed Engineering, Developer Advocacy, Technical Program Management, or related cross-functional role
  • Experience acting as technical partner to internal customers, translating vague requirements into engineering specifications
  • Functional literacy in AI/ML concepts: lifecycle of ML (datasets, training vs. inference, evaluation metrics)
  • Demonstrated experience partnering with Applied Scientists or Researchers

About Apple

Designs and sells iPhone, Mac, iPad, Watch, and Vision Pro plus a $100B+ Services layer (App Store, iCloud, Apple Pay, Music, TV+) atop a 2.5B device installed base.

Public · 5000+ people

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