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Machine Learning Applied Research Scientist

Apple
Full-time
On-site
Cupertino, California, United States
Our team of applied ML scientists and engineers works to enhance the experience and productivity of software developers at Apple and in the Apple developer ecosystem. Our team trains state-of-the-art ML models and applies them in products to solve real-world problems. We’re looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you!

Description

Our team designs and builds ML solutions to enhance the software development experience at Apple and within the Apple developer ecosystem. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who are immersed in the rapidly advancing field of ML, and Natural Language Processing in particular. In this role, you will be responsible for identifying and applying novel techniques to model training and supporting tasks like data generation, evaluation infrastructure, and inference. You will also be involved in directly integrating ML into products, working closely with the extended team to collect and apply feedback. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.

Minimum Qualifications

  • Extensive experience with applied machine learning.
  • Proven experience in software engineering, data engineering, or similar.
  • MS in Computer Science or related experience

Key Qualifications

Preferred Qualifications

  • Working knowledge of applied Natural Language Processing.
  • Experience with reinforcement learning

Education & 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.