- Proficiency with modern AI technologies and building interactive data visualizations.
- Experience shipping products that use machine learning or tools for machine learning interpretability.
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- Proven history of turning ideas into tools, guidelines, or products.
- Excellent verbal and written communication and presentation skills.
- Strong web-development background.
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AIML - Research Engineer - AI Interpretability & Safety - Pittsburgh, United States - Apple
Description
SummaryPosted: Apr 24, 2024
Role Number:
Home Office: Yes
Apple's AIML team is looking for a talented Research Engineer 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. The candidate will use their expertise to develop interactive systems and strategies that make our AI systems more safe, transparent, and understandable. For this role, you need a keen interest in rigorous evaluation, deep understanding of modern ML and AI technologies, strong prototyping and development skills, and the ability to communicate complex 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 sophisticated datasets or evaluate models. You will collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide. Join us in Pittsburgh, PA, Seattle, WA, or Boston, MA to design and build interactive systems that help Apple ship more robust and safe AI experiences. We encourage applications from both junior and senior-level candidates.
Key Qualifications
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.
Education & Experience
PhD or MS or equivalent experience in Computer Science, Machine Learning, or related fields
Additional Requirements
