Sr Machine Learning Engineer

Apple • Cupertino, CA

6h

About The Position

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. 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. 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 won't work in
practice, and thrive in a collaborative team setting where you can both learn
and teach.

Requirements

• 5+ 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 experience

Nice To Haves

• Experience 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees