Machine Learning Engineer - II

Adobe Adobe · Enterprise · Noida, India +1

Machine Learning Engineer with 10+ years of experience, including 3+ as a Lead/Architect, to architect and optimize large-scale generative AI model pipelines and backend services for Adobe Firefly. The role involves collaborating with researchers, providing technical leadership, and exploring new ML/MLOps technologies to improve GenAI engineering effectiveness. Requires strong hands-on experience with GenAI models and shipping ML features, with preferred experience in model training/optimization and conversion.

What you'd actually do

  1. Help architect and optimize large-scale foundation model pipelines in Generative AI
  2. Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces
  3. Collaborate with outstanding Applied researchers and engineers to bring ideas to production
  4. Provide technical leadership and mentorship for junior team members.
  5. Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe`s GenAI engineering effectiveness and efficiency

Skills

Required

  • Masters or Ph.D. in Computer Science, AI/ML or related fields or B.Tech and strong experience in AI/ML.
  • 10+ years of experience
  • 3+ years as a Lead/Architect
  • Excellent communication and technical leadership skill.
  • Experience in tech leading large number of contributors on time sensitive and business critical GenAI projects.
  • Experience in state-of-the-art Generative AI technologies, such as GAN, diffusion, transformer models
  • Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features
  • Strong collaboration skill. Experience with working in a Matrix organization, driving alignment, drawing conclusions and getting things done

Nice to have

  • Experience training or optimizing models. (CUDA, Triton, TRT, AOT)
  • Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats, to ensure compatibility and optimized performance across different platforms
  • Good publication record in Computer Science, AI/ML or related fields

What the JD emphasized

  • Experience in tech leading large number of contributors on time sensitive and business critical GenAI projects.
  • Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features
  • Strong collaboration skill. Experience with working in a Matrix organization, driving alignment, drawing conclusions and getting things done

Other signals

  • architect and optimize large-scale foundation model pipelines
  • Design and develop the GenAI backend services
  • shipping ML features
  • state-of-the-art Generative AI technologies