Machine Learning Applied Scientist

Seattle, Washington, United States
Machine Learning and AI


Role Number:200550562
The VCV Science ML Experience Prototyping Team is seeking a highly skilled and motivated Applied ML Scientist with expertise in Computer Vision and Generative AI, who is passionate about inventing and building the future of user experiences powered by Machine Learning. We partner with teams across Apple, incubate ground breaking research ideas, push the boundaries of what’s possible, frequently demonstrate our work to executive leadership, and deliver key results as product features that will delight and inspire millions of people every day.


As an ML Applied Scientist on our team, you’ll be working with a team of computer vision and deep learning researchers and engineers to rapidly prototype ideas, test hypothesis, and investigate feasibility, with the eventual goal of shipping world-class algorithms and experiences that open up the boundaries of what’s possible. You will lead the design and development of generative AI solutions. Utilize established techniques and, when necessary, build custom algorithms to solve sophisticated challenges effectively. You will work cross-functionally to seamlessly integrate and deploy robust ML applications in a production environment. The role will enable you to stay at the forefront of artificial intelligence and machine learning advancements. Continuously exploring and evaluating new technologies and methodologies to enhance the technical capabilities of our team. Your insight will be instrumental in helping Apple to understand and shape upcoming products and technologies that will have significant impact on customers. Your work will be instrumental in helping Apple to understand and shape upcoming products and technologies that will have significant impact on customers.

Minimum Qualifications

Key Qualifications

  • 5+ years of industry or strong academic experience in CVML
  • Experience with state-of-the-art Generative AI models, Multi-modal LLMs, contrastive learning, Foundation models, and/or Diffusion-based large vision models
  • Strong understanding of Python, and proficiency using ML toolkits, e.g., PyTorch
  • Strong software engineering skills to build scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
  • Comfortable researching current ML literature and math including optimization methods and modeling techniques
  • Experience in the transition of a prototype into a final product
  • Excellent communication and collaboration skills in a cross functional setting.

Preferred Qualifications

Education & Experience

BS and a minimum of 3 years relevant industry 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.