AIML - Research Scientist, AI Interpretability & Visualization

We're looking for a Researcher to advance the state of the art in evaluation and development of modern machine learning models with a focus on real-world use of artificial intelligence. A successful candidate will use their expertise to develop interactive systems and strategies that make our AI systems more understandable, transparent, and safe. For this role, you need a keen curiosity about rigorous evaluation, deep understanding of modern machine learning and AI technologies, strong prototyping and development skills, and the ability to communicate sophisticated algorithms and methods in an understandable way. We are a close-knit team of deeply technical Research Scientists passionate about making machine learning more robust, faster, and easier. We often use data visualizations to help our partners across Apple understand large and complex datasets or evaluate models. You'll collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide. Join us to design and build interactive systems that help Apple ship better AI experiences. We encourage applications from junior to senior-level candidates and strongly suggest you include a cover letter with your application to give us a better sense of your background, expertise, and career goals.

As a member of this team, you will use your background in ML and HCI to:

• Define and implement research directions at the forefront of interpretable machine learning
• Design and implement new tools and visualizations to make designing, building, and deploying machine-learning based products faster and easier
• Investigate innovative machine learning, and artificial intelligence algorithms
• Contribute to a variety of projects around Apple, and transfer your ideas into solutions for some of the most ambitious technical problems in the next generation of Apple products

• PhD or MS in Computer Science, Machine Learning, or related field or equivalent experience
• Proficiency with modern AI technologies and building interactive data visualizations
• Experience shipping products that use machine learning or tools for machine learning interpretability
• Substantial contributions to research or practitioner communities, such as by publishing papers at top-conferences or contributing to open source projects
• Proven history of turning ideas into actionable tools, guidelines, or products
• Excellent verbal and written communication and presentation skills

• Strong web-development background

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

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