Onsite Machine Learning Engineer

Posted 19 hours ago

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About the role

  • Senior Machine Learning Engineer designing and developing generative AI systems for Adobe Firefly Services. Collaborating with other engineering teams on innovative solutions and optimizing performance in large-scale environments.

Responsibilities

  • Design and development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products
  • Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration
  • Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those models
  • Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability
  • Foster a culture of innovation, technical excellence, and continuous improvement across the organization

Requirements

  • MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience
  • 4-7+ years of experience in machine learning, including production-scale deployments
  • 2+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization)
  • Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python
  • Good understanding of generative model architectures, including diffusion models, transformers, and GANs

Benefits

  • Comprehensive benefits programs
  • Opportunities for professional growth and development
  • Paid time off
  • Flexible work arrangements

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

$151,800 - $265,350 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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