Summary
We are seeking an expert Machine Learning Engineer to join our AIML team in building an on-device machine learning platform. As a key member of the team, you will help design and develop infrastructure and work on various ML solutions and models. You'll also have the chance to collaborate with a diverse range of teams and apply your expertise to tackle technical challenges for upcoming products that will delight millions of people. Does this sound exciting? Come join us!

Key Qualifications
Strong background in ML and distributed systems

Experience with on-device ML and system development

Experience building and maintaining ML infrastructure

Ability to work effectively across multiple codebases, teams, and organizations

5+ years of professional experience as a software engineer, preferably in machine learning or a related field

Proactive and determined problem-solving skills

Excellent interpersonal skills

Description
We enable teams across Apple to develop ML solutions that power intelligent user experiences. You'll engage various product teams and use your expertise in various ML-based solutions and experiences to address bold technical problems in our next-generation products.

Your responsibilities will include:

- Designing and building on-device ML infrastructure to enable efficient and effective model training, evaluation, deployment, and performance monitoring

- Collaborating with product groups to identify and prioritize machine learning needs and opportunities

- Working with Data Scientists and ML Researchers to design and conduct experiments to optimize model performance

- Participating in the development of machine learning infrastructure and tools, including model life-cycles, experimentation tracking, and data management

Education & Experience
Bachelor's or Master's degree or equivalent experience in Computer Science or a similar field

Additional Requirements

• - Development experience at the systems level with Objective-C, Swift
• - Understanding of iOS, macOS fundamentals and frameworks
• - Proficiency in Python and ML frameworks such as Pytorch and Tensorflow
• - Experience with Core ML framework and tools

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