Senior ML Manager - ML Infrastructure & Modeling
The Intelligent System Experience (ISE) team is looking to hire a senior ML leader in multimodal generative technologies.
The team makes fundamental contributions to Apple Intelligence across image / video understanding, image generation, language understanding, safety, and the infrastructure that backs these capabilities.
A leader hired into the role will focus on ML infrastructure for model development (fine-tuning, human alignment, synth.
data, distributed training) and deployment (compression, quantization / palettization, runtime acceleration).
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
Description
We are looking for a leader with a proven track record in shipping user experiences backed by cutting-edge generative workstreams.
The ideal candidate needs to be hands-on the machine learning front and is expected to set the vision and execute on ML research investments targeting user experiences for future hardware and software products.
The role would entail close partnership with hardware, software, and design teams from across the company. An important part of the role would entail leading very cross-functional applied R&D lifecycles from prototyping all the way to deploying workflows in production!
Minimum Qualifications
- 5+ years of experience in leading teams on product-focused ML work-streams, with an emphasis on LLMs.
- Track record in having overseen the ML aspects of products that serve a large customer base.
- Experience in running efforts involving efficient distributed training and production deployment of language models.
- Strong organizational skills and experience working with large cross-functional and diverse teams.
Preferred Qualifications
- Solid in machine learning fundamentals, software engineering principles, and development methodologies.
- Experience with incubation, development, and deployment of machine learning technologies into products.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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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