Sr Manager, Machine Learning Engineering, Firefly Services

ADOBE

Base: $178,900 - $351,225 annually; bonus/equity: ...
Not specified (assumed hybrid based on industry standards unless otherwise indicated).
Generative ai technologies
Production-scale ml deployments
Cross-functional team leadership
Adobe is seeking a Senior Manager for its Machine Learning Engineering team within the Firefly Services division, focusing on generative AI solutions for enterprise customers. The role involves leading a team of ML engineers, defining technical roadmaps, and collaborating across departments to enhance Adobe's generative AI capabilities

Job Summary

  • This role leads a high-performing team of ML and service engineers focused on designing and scaling generative AI solutions for Adobe Firefly.
  • The successful candidate will define long-term strategy and shape the technical roadmap for Adobe's Enterprise GenAI space while collaborating across the organization.
  • Adobe offers a competitive compensation range of $178,900 to $351,225 annually depending on location and experience.

Matching Summary

Match Score: 85

Adobe is seeking a Senior Manager for its Machine Learning Engineering team within the Firefly Services division, focusing on generative AI solutions for enterprise customers. The role involves leading a team of ML engineers, defining technical roadmaps, and collaborating across departments to enhance Adobe's generative AI capabilities.

Salary

Base: $178,900 - $351,225 annually; Bonus/Equity: Annual Incentive Plan (AIP) and potential new hire equity award; Benefits: Comprehensive benefits programs not specified

Skills & Requirements

Must-have

  • Generative AI technologies
  • Production-scale ML deployments
  • Cross-functional team leadership
  • MLOps optimization
  • Enterprise API integration

Nice-to-have

  • Hands-on model fine-tuning experience
  • Multi-modality model expertise
  • Model format conversion skills
  • Innovation in emerging ML tech
  • Matrix organization influence

Key Requirements

  • MS/PhD in Computer Science or related field
  • 8+ years of machine learning experience
  • 5+ years of engineering leadership experience
  • Strong background in GANs, diffusion models, and transformers

Work Rights

Not specified

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