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Senior Machine Learning Engineer, SWE Developer Productivity



Software Engineering
Cupertino, CA, USA
Posted on Wednesday, May 8, 2024


Role Number:200550041
Our team is on a mission to bring the latest machine learning techniques to the field of software development. We want to make it easier for our developers to write, build and test their code. We firmly believe that providing better, more intelligent tools and infrastructure to our developers will help unlock their creativity and innovation, which Apple’s customers will experience in our products. Our team is looking for data scientists and machine learning (ML) engineers to join us in our efforts. As part of our team, you will be developing novel ML tools and frameworks for all stages of our development workflow: coding, testing, building and deployment. If you are an ML engineer or data scientist, with a passion for ML, who enjoys applying the latest ML research to real-world technical problems, then we have many exciting problems for you to work on! You would join a small, tight-knit team of scientists and engineers who build exciting new technology, and have fun while doing so.


Our team designs and builds innovative and intelligent tools for our developers. You will be able to bring your data science and machine learning experience to our unique problem domains, to improve our development workflow and make our developers more creative and productive. You will be part of a data-driven team, analyzing the friction and cost associated with the scale at which we develop and ship complex software and systems. You will help design, train and deploy ML models that help optimize and improve our development tools and infrastructure. You will collaborate closely with development teams, stakeholders and product owners to adopt your solutions and measure your impact. You will be most successful here as a flexible and proactive engineer who thrives in a supportive, respectful, and balanced work environment with interesting and challenging problems to tackle. You have excellent judgement and integrity with the ability to make timely and sound decisions. You know how to drive constructive technical discussions, learn from your team, and use your experience to advocate and teach others. In your role as a data scientist and ML engineer on our team you will: - Spend most of your time working on data and machine learning systems. - Collaborate with your teammates to help understand problems, define requirements and work with teams to implement long lasting solutions. - Engage with other teams to help identify issues and establish long-term relationships that include knowledge sharing. - Provide valuable feedback loops to development teams backed by data and metrics. - Develop expertise and be given ownership over components critical to Apple’s success. - Contribute to engineering a high-performance system through algorithm design, optimization, and performance testing. - Have access to the engineers who create Apple’s full technology, tools, and operating systems stack. HERE YOU’LL FIND THAT WE: - Have a wide range of experience, from new engineers to Apple veterans. - Provide a relaxed work environment where you can choose when to socialize and when to dig into your projects. - Have an encouraging and growth-focused workplace culture. - Encourage you to use accrued vacation time and maintain a healthy work-life balance!

Minimum Qualifications

Key Qualifications

  • Positive and respectful attitude in a diverse environment.
  • Strong background in data science and machine learning.
  • Ability to efficiently develop, debug, and support new technologies in a changing environment.
  • Excellent collaborative skills, with strong written and verbal communication.

Preferred Qualifications

Education & Experience

MS or PhD in Computer Science or related 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.