Research Engineer/Scientist
Job Summary
Job Description
In this role, you will participate in the ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll help design and implement ML models, work with ML tooling and infrastructure, support evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, helping to implement engineering solutions ready for product development. This opportunity allows you to work on innovative projects that enhance user experiences and technological capabilities. You'll be part of a collaborative environment that explores new possibilities with AI and machine learning.
Must have:
- Implement ML models and infrastructure.
- Support data generation, curation, and evaluation.
- Help develop model inference solutions.
- Prototype AI solutions that solve problems.
- Communicate technical concepts to diverse team members.
3 skills required
Job Details
In this role, you will participate in the ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll help design and implement ML models, work with ML tooling and infrastructure, support evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, helping to implement engineering solutions ready for product development. This opportunity allows you to work on innovative projects that enhance user experiences and technological capabilities. You'll be part of a collaborative environment that explores new possibilities with AI and machine learning. KEY RESPONSIBILITIES: - Implement ML models and infrastructure in partnership with designers, software/hardware engineers, and R&D teams - Support data generation, curation, and evaluation efforts for ML systems - Help develop model inference solutions - Prototype AI solutions that solve real-world problems - Communicate technical concepts to diverse team members - Assist in translating research innovations into practical implementations - Collaborate with teams across Apple to implement AI technology into prototypes
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