AIML - Machine Learning Scientist-Adaptive Devices and Platforms
Apple
Software Engineering
Seattle, WA, USA
USD 166,600-296,300 / year + Equity
Posted on Mar 21, 2025
Summary
Posted:
Weekly Hours: 40
Role Number:200595378
The Adaptive Devices and Platforms Team (ADPT) is looking for an outstanding Machine Learning Scientist with a strong background in computer vision who specializes in leveraging and advancing state-of-the-art CV and multimodal models to develop features for Apple products. Are you passionate about incubating and deploying AI-powered technologies and features to millions of Apple users? Our team charter is to prototype next generation capabilities and platforms for new user experiences and/or Apple hardware leveraging the latest advances in foundation models, agentic reasoning, and model optimization. With the rise of multimodal VLM models and the promise of Apple Intelligence, our team offers experts in the field an opportunity to apply their skills to enhancing Apple products everyone loves and even incubating new products. We're an elite team looking for ambitious, strongly technical and creative problem solvers, but also great teammates. Because of the nature of the work, candidates should be comfortable with uncertainty and taking calculated risks.
Description
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied You will work with a passionate, mission-focused team to conceptualize, rapidly prototype, and ship next-generation technologies and features. To succeed, you must be a proactive and driven problem solver with a proven track record of working across multiple code bases, teams, and organizations. You must enjoy using machine learning to craft transformative new capabilities for Apple products, writing elegant code, and applying innovative new technologies in the service of human-centered design. Overall, this position offers the right person a chance to play a meaningful role in bringing the promise of AI offered by recent advances in generative AI to millions of Apple users in a safe, reliable, and delightful way. It is a chance to “think different” about AI - the Apple way!
Minimum Qualifications
- 4+ years of experience building CV systems using; VLM, diffusion models, multimodal models, etc.
- 4+ years of experience with PyTorch and/or TensorFlow on platforms such as Hugging Face
- 3+ years applying machine learning methods to products, features and/or services
- Practical experience with all aspects of model life-cycle management, including data curation and collection, pre-training and fine-tuning, model evaluation and experimentation, model deployment and debugging, and post-deployment monitoring and updating.
- Publications in research communities such as; NIPS, CVPR, etc.
- Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.)
- Outstanding communication skills with an interest in unraveling sophisticated and nuanced issues
- Ph.D. in Computer Science, Electrical Engineering, Statistics, Physics or related fields.
Key Qualifications
Preferred Qualifications
- Skill in efficiently developing new algorithms, data structures, inference approaches, etc.
- Enthusiasm for continuing to stay current on state-of-the-art techniques in the research literature
- Excellent interpersonal and collaboration skills
- Experience deploying and optimizing CV models and VLMs for specific contexts
- Knowledge of ML model optimization technique beyond quantization
- Strong familiarity in another domain of AI/ML outside of CV such as NLP, ASR, robotics, multimodality, reinforcement learning, etc.
- Experience in C/C++/Objective-C development is optional, but preferred
Education & Experience
Additional Requirements
Pay & Benefits
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.