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Apple Visual Generative Modeling Research Engineer Canada, Manitoba, Winnipeg 883379570
04.04.2024
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Key Qualifications
- Strong ML fundamentals
- Hands-on experience with building Deep Learning applications
- Proficiency in using ML toolkits, e.g., PyTorch
- Strong analytical and problem solving skills
- Strong programming skills in Python, C and C++
- You're aware of the challenges associated to the transition of a prototype into a final product
- You're familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
- You've demonstrated leadership in both applied research and development
- Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
Description
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale generative models in the visual domain on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning adaptive policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the field, with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. The primary responsibilities associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.
Education & Experience
M.S. or PhD in Electrical Engineering/Computer Science, or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning or comparable professional experience; or equivalent experience.
Additional Requirements
- 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.
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