Machine Learning Engineer 4

Adobe changes the world through digital experiences, providing tools for emerging artists to global brands to create exceptional digital experiences.
$142,700 - $257,600
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer 4

Adobe is seeking a Machine Learning Engineer 4 to join their Applied Research organization, focusing on bringing cutting-edge AI/GenAI capabilities to flagship products. This role offers an exciting opportunity to work at the intersection of machine learning and product development, implementing innovative solutions that power creative tools used by millions.

The position involves developing and optimizing ML pipelines for cloud deployment, working with state-of-the-art computer vision and generative AI models, and ensuring robust, scalable service delivery. You'll be contributing to products like Photoshop, Lightroom, Illustrator, and Express, making direct impact on how creators worldwide use Adobe's tools.

As a senior technical member, you'll be responsible for architecting GPU-optimized solutions, implementing efficient model serving strategies, and ensuring production reliability. The role requires deep expertise in ML operations, cloud technologies, and a proven track record of delivering complex ML systems at scale.

Adobe offers a competitive compensation package and the chance to work with leading researchers and engineers in the field. You'll be part of a company that's consistently recognized as a great place to work, with a culture that values innovation, creativity, and technical excellence. This is an opportunity to shape the future of creative tools through machine learning technology.

Last updated 4 days ago

Responsibilities For Machine Learning Engineer 4

  • Contribute to backend services powering ML and Generative AI features across Adobe products
  • Design and architect GPU optimized ML pipelines for cloud deployment
  • Analyze and improve efficiency, accuracy, scalability, and stability of AI enabled workflows
  • Design and implement model integration testing and regression testing
  • Build and maintain CI/CD pipeline for microservices
  • Ensure scalable, reliable cloud service with observability
  • Provide production level support for customers

Requirements For Machine Learning Engineer 4

Python
Kubernetes
  • 5+ years of demonstrated ability building, optimizing and operating GPU intensive ML workloads
  • Experience architecting cloud services for large scale use
  • Experience with Computer Vision models and GenAI technology
  • Proficiency in Python, ML, PyTorch, TorchServe, TensorFlow, NVIDIA Triton, ONNX
  • Deep understanding of model serving, conversion, optimization techniques
  • Proficient in AWS, Kubernetes, Docker

Benefits For Machine Learning Engineer 4

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Competitive compensation package
  • Medical, Dental, and Vision Insurance
  • 401k benefits

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