Generative AI Applied Researcher - SIML, ISE

Key Skills

Algorithms, C Programming, C++, CUDA/GPU programming, Deep Learning, Effective communication skills, Machine learning techniques, Python Programming, PyTorch, Software Development

Job Description

Are you excited about Generative AI? We are looking for experts in this space to join our applied ML R&D team at Apple! You will be inventing and shipping the next generation of these core technologies with a focused team. Our purpose is to surprise and delight users and developers worldwide.

The team comprises domain experts in Computer Vision & Natural Language Processing (NLP) who contribute to a variety of shipping workflows you may already regularly use, including: Photos Search, Curation, Memories, Intelligent Auto-crop, Visual Captioning for Accessibility, Federated Learning on visual content, Real-time Classification & Saliency in Camera, Semantic Segmentation in Camera, and several on- device feature extractors across the system. Further, several of our projects are surfaced to third party developers through Vision & CoreML. Shipping APIs include image tagging, image similarity, saliency estimation and prints for transfer learning.

The team collaborates extensively with various teams across Apple in bringing experiences to life across our devices, services and 1st/3rd party APIs. Selected references to our team’s work: - https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon - https://machinelearning.apple.com/research/on-device-scene-analysis - https://machinelearning.apple.com/research/panoptic-segmentation

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.

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.

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 $161,000 and $242,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.