ML Research Scientist
San Jose
hace 3 días

The Opportunity

We are looking for an outstanding candidate with a passion for technology and building imaging and photography experiences that delight customers.

This individual will work within a fast-paced, agile environment with a customer-focused research and engineering team. In this position, you will play a key role in productizing research ideas to build "Adobe Magic" in Photoshop and digital imaging applications.

What you'll Do

  • Responsible for research and development of imaging, computer vision and machine learning algorithms.
  • Collaborate with researchers, developers, UI designers, product managers, quality engineers and customers to convert research projects into polished features.
  • Collect and curate data, train deep learning models, optimize them and deploy them on multiple platforms and surfaces.
  • Do ML model conversion to platform specific inferencing frameworks such as CoreML, WinML, ONNX, etc.
  • Do model optimization and compression to build lightweight and performant models suitable for mobile and on-device deployment.
  • Come up with new and innovative ideas to implement imaging features that will work well across desktop, mobile and web environments.
  • Develop cross-platform modular software libraries and systems for AI / ML and imaging technologies.
  • Identify performance bottlenecks and optimize different aspects of technology pipelines on CPU and / or GPU.
  • Write design and architectural specs.
  • Participate in formal and informal code and design reviews.
  • Bring energy, flexibility, focus and excellence to all projects and assignments.
  • Take initiative, seek new challenges, and acquire necessary knowledge and skills to get the job done.
  • What you need to succeed

  • MS or PhD in Computer Science or a related field with focus on computer vision or machine learning preferred.
  • 3+ years of applied research, ML algorithm and software development experience with proven track record of designing, implementing, and delivering high quality solutions.
  • Proven track record of research in computer vision and machine learning domains, specifically deep learning and GAN (Generated Adversarial Network) modeling.
  • Knowledge and experience with one or more popular machine learning inference frameworks such as WinML, ONNX runtime, PyTorch, Tensorflow (Lite) needed.
  • Proficient in modern C / C++, Python and Matlab
  • Experience with parallelization, multi-core programming and vectorization on CPU / GPU a plus
  • Solid foundation in computer science fundamentals, object-oriented programming, design patterns and software engineering standard methodologies desirable.
  • Excellent problem-solving & analytical skills.
  • Outstanding written and verbal communication skills.
  • Passion for creating high quality applications users love.
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