Senior Computer Vision & Machine Learning Engineer - Foundation Models, Creativity Apps
Cupertino, California
Summary
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly!
The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. You'll be working with the world-class teams behind Final Cut Pro, Logic Pro, iMovie, and GarageBand to create next-generation tools for creators.
As a Senior CV & ML Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!
Key Qualifications
Extensive knowledge in theory and practice of computer vision, machine learning and deep learning techniques.
Experience delivering products in Computer Vision, Computational Photography, Multimodal-LLMs/Foundation models, Generative AI, Machine Learning or related areas.
Proven track record in training, evaluating, and deploying multimodal large language models / foundational models and/or diffusion models.
Experience with RLHF based large model training.
Experience in applying parameter efficient fine-tuning such as p-tuning, adaptors, LoRA, etc. to improve multimodal-LLM reasoning and prediction.
Experience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus.
Strong patent and publication record at top conferences is a plus.
Experience delivering high quality software at scale.
Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.
Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus.
Ability to solve everyday problems in innovative ways.
Ability to communicate effectively and collaborate with partner teams.
Committed to encouraging an open and inclusive work environment.
Description
Are you ready to be an early member of a new engineering team? Join us, and you'll build state-of-the-art models and applications, partner with cross-functional teams and deliver end-to-end features to power the next-generation tools for creators. The ideal candidate should have deep experience in computer vision and machine learning, care about long term sustainable software development, and can drive features from concept all the way to delivery. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.
Education & Experience
PhD in Computer Science, Computer Vision, Machine Learning, or related field, and 4+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies. Alternatively, an MS degree with a proven track record of comparable industry experience to PhD is acceptable.
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly!
The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. You'll be working with the world-class teams behind Final Cut Pro, Logic Pro, iMovie, and GarageBand to create next-generation tools for creators.
As a Senior CV & ML Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!
Key Qualifications
Extensive knowledge in theory and practice of computer vision, machine learning and deep learning techniques.
Experience delivering products in Computer Vision, Computational Photography, Multimodal-LLMs/Foundation models, Generative AI, Machine Learning or related areas.
Proven track record in training, evaluating, and deploying multimodal large language models / foundational models and/or diffusion models.
Experience with RLHF based large model training.
Experience in applying parameter efficient fine-tuning such as p-tuning, adaptors, LoRA, etc. to improve multimodal-LLM reasoning and prediction.
Experience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus.
Strong patent and publication record at top conferences is a plus.
Experience delivering high quality software at scale.
Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.
Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus.
Ability to solve everyday problems in innovative ways.
Ability to communicate effectively and collaborate with partner teams.
Committed to encouraging an open and inclusive work environment.
Description
Are you ready to be an early member of a new engineering team? Join us, and you'll build state-of-the-art models and applications, partner with cross-functional teams and deliver end-to-end features to power the next-generation tools for creators. The ideal candidate should have deep experience in computer vision and machine learning, care about long term sustainable software development, and can drive features from concept all the way to delivery. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.
Education & Experience
PhD in Computer Science, Computer Vision, Machine Learning, or related field, and 4+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies. Alternatively, an MS degree with a proven track record of comparable industry experience to PhD is acceptable.
Created: 2024-06-17
Reference: 200550979
Country: United States
State: California
City: Cupertino
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
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