Our team of applied ML scientists and engineers works to enhance the experience and productivity of software development at Apple. Our team applies state-of-the-art ML models to solve real-world problems in software quality and development workflows. Were 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! Our team designs and builds ML solutions to transform how Apple and developers in the ecosystem approach developing quality software at scale. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who work with NLP, computer vision, and multimodal domains to create AI-powered testing solutions.
In this role, you will be responsible for developing novel ML approaches to challenging quality problems at scale. Youll work hands-on with a diverse set of ML techniques to find what actually works in production. Youll guide technical direction for the team, mentoring junior engineers while maintaining deep involvement in the code and experimentation yourself. Your technical judgment and understanding of both generative models and traditional ML methods will directly shape our product direction.
You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems with creative solutions, have strong intuition for what will and wont work in practice, and thrive in a collaborative team setting where you can both learn and teach.Design and implement novel ML solutions for testing and automation problems Provide technical leadership and mentorship on research directions Apply a broad range of ML techniques (LLMs, classical ML, computer vision, reinforcement learning) to identify the best approach for each problem Work cross-functionally with product teams, integration engineers, and other ML practitioners across Apple5+ years of hands-on experience developing machine learning systems in production environments Strong programming skills with demonstrated ability to write production-quality ML code Proven track record working with multiple ML paradigms including modern and traditional methods MS or PhD in Computer Science, Machine Learning, or equivalent professional experienceExperience with classical ML techniques, reinforcement learning, or probabilistic modeling in addition to deep learning Experience in NLP, computer vision, or multimodal ML applications Track record of technical mentorship or leading complex ML projects Familiarity with Apple development ecosystem and frameworks Experience with testing, software quality, or developer tools
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.