Senior Staff Applied Scientist - Ai/ml

ADOBE

Base: $182,900 - $352,350 annually (us); californi...
Not specified (assumed hybrid or flexible based on company culture)
Phd or masters in engineering or computer science
10+ years of professional experience
Training large-scale multimodal llms
Adobe is seeking a Senior Staff Applied Scientist with expertise in AI/ML to transform research breakthroughs into innovative product features, particularly in Natural Language Processing and image/video generation. The ideal candidate will have extensive experience in training large-scale models and a passion for driving innovation in Adobe's product offerings

Job Summary

  • The role focuses on scouting, adapting, and improvising the latest research to advance Adobe's AI capabilities in Natural Language and Image/Video generation.
  • Candidates will transform innovative research concepts into practical applications within Generative AI, LLMs, and Reinforcement Learning.
  • Adobe offers a culture where employees are empowered to make an impact with comprehensive benefits and a mission to empower everyone to create.

Matching Summary

Match Score: 85

Adobe is seeking a Senior Staff Applied Scientist with expertise in AI/ML to transform research breakthroughs into innovative product features, particularly in Natural Language Processing and image/video generation. The ideal candidate will have extensive experience in training large-scale models and a passion for driving innovation in Adobe's product offerings.

Salary

Base: $182,900 - $352,350 annually (US); California range: $243,300 - $352,350; Equity/AIP eligible for non-sales roles

Skills & Requirements

Must-have

  • PhD or Masters in Engineering or Computer Science
  • 10+ years of professional experience
  • Training large-scale multimodal LLMs
  • Experience with PyTorch and GPU/TPU clusters
  • Proficiency in fine-tuning and model alignment

Nice-to-have

  • Experience with synthetic data generation
  • Track record of publishing in scientific venues
  • Familiarity with inference optimization
  • Previous product team collaboration experience
  • Strong communication and teamwork skills

Key Requirements

  • Ph.D. or Masters degree required
  • 10+ years of professional experience
  • Expertise in distributed training strategies
  • Deep learning framework proficiency (PyTorch)

Work Rights

Not specified

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