Staff Machine Learning Engineer - Tools & Frameworks AI

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. 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!

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.\n\nIn this role, you will be responsible for developing novel ML approaches to challenging quality problems at scale. You'll work hands-on with a diverse set of ML techniques to find what actually works in production. You'll 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.\n\nYou 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 won't work in practice, and thrive in a collaborative team setting where you can both learn and teach.

5+ years of hands-on experience developing machine learning systems in production environments\nStrong programming skills with demonstrated ability to write production-quality ML code\nProven track record working with multiple ML paradigms including modern and traditional methods\nMS or PhD in Computer Science, Machine Learning, or equivalent professional experience

Experience with classical ML techniques, reinforcement learning, or probabilistic modeling in addition to deep learning\nExperience in NLP, computer vision, or multimodal ML applications\nTrack record of technical mentorship or leading complex ML projects\nFamiliarity with Apple development ecosystem and frameworks\nExperience with testing, software quality, or developer tools