Machine Learning Engineer - LLM/ML Developer Tools

Apple

Apple

Software Engineering, Data Science
Seattle, WA, USA
Posted on Friday, May 17, 2024

Summary

Posted:
Role Number:200551825
The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Our team prides itself on innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life!

Description

Our team builds tools that Apple in-house ML experts use everyday to optimize many models shipped in Apple devices. You will work with world-class talents in visualization, on-device optimization, ML tools/platforms. We looking for a researcher / engineer who can develop reliable and scalable web services for ML developers: e.g., effective ML dev workflow, infrastructure to serve internal service using large models (e.g., LLM, vision model). We also encourage publishing novel research at top HCI / ML conferences.

Minimum Qualifications

Key Qualifications

  • Experience in developer tools (ML tools preferred).
  • Strong experience in HCI to build robust and user-friendly tools.
  • Strong experience on machine learning model development.
  • Strong prototyping skill to build demos for early feedback.
  • Software engineering skills (e.g., Javascript, Python; Vue.js/React; Flask/FastAPI)
  • Experience in LLM (or vision model) application for productivity.
  • Strong communication skills; great work ethic and teamwork.

Preferred Qualifications

Education & Experience

BS and a minimum of 3 years relevant industry experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.