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Machine Learning Engineer

2 months ago

Seattle, Washington, United States Apple, Inc. Full time

About the Role

We are a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products.

Our Focus

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 Hardware, Software, and Machine Learning teams to influence the sensor and silicon roadmap that brings our vision to life.

Key Responsibilities

  1. Develop reliable and scalable web services for Machine Learning developers, including effective Machine Learning development workflows and infrastructure to serve internal services using large models.
  2. Work with world-class talents in visualization, on-device optimization, and Machine Learning tools/platforms.
  3. Collaborate with researchers and engineers to develop novel research and publish at top HCI/ML conferences.
  4. Design and develop robust and user-friendly tools for Machine Learning developers.
  5. Develop and maintain software engineering skills, including JavaScript, Python, Flask, and FastAPI.
  6. Apply Large Language Model (LLM) and vision model applications for productivity.
  7. Communicate effectively with cross-functional teams and stakeholders.

Requirements

BS and a minimum of 3 years relevant industry experience.

What We Offer

At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, commission payments, and relocation assistance. We also provide comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. Additionally, Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount through our Employee Stock Purchase Plan.

Apple is an Equal Opportunity Employer

We are committed to inclusion and diversity, and 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.