The point where experts and best companies meet
Apple Generative AI Applied Researcher - SIML ISE United States, California, Cupertino 598100541
04.04.2024
Share
Key Qualifications
- 5+ years of industry experience with 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 multimodal (vision-language) models 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
- Familiarity with Multi-modal ML, Graph ML and/or Reinforcement Learning (RL) in a distributed large-scale training environment is desirable.
- Experience in neural network deployment optimizations is desirable.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700.00 and $256,500.00, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
