Apple - Cupertino, CA
posted 4 months ago
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.