Sr. Applied Scientist

Adobe

Base: $142,700 - $270,950 annually (us); californi...
Not specified (assumed hybrid based on typical industry practices)
Generative ai technologies expertise
Transformers and llms proficiency
Python pytorch hugging face skills
Adobe is seeking a Sr. Applied Scientist to develop innovative AI-powered search and recommendation systems using generative AI technologies. The role focuses on enhancing creative tools across Adobe's product lines, impacting millions of users with advanced machine learning models

Job Summary

  • The role focuses on developing innovative AI-powered search, recommendations, and assistive experiences using generative AI technologies across text, image, and video modalities.
  • Candidates will fine-tune LLMs and Diffusion models to build a creative knowledge graph that recommends billions of assets in real time.
  • Adobe offers a mission-driven culture where employees are empowered to make an impact through human ingenuity and AI innovation.

Matching Summary

Match Score: 85

Adobe is seeking a Sr. Applied Scientist to develop innovative AI-powered search and recommendation systems using generative AI technologies. The role focuses on enhancing creative tools across Adobe's product lines, impacting millions of users with advanced machine learning models.

Salary

Base: $142,700 - $270,950 annually (US); California range: $187,100 - $270,950; Short-term incentives via Annual Incentive Plan; Long-term equity awards may be eligible

Skills & Requirements

Must-have

  • Generative AI technologies expertise
  • Transformers and LLMs proficiency
  • Python PyTorch Hugging Face skills
  • Distributed scalable fine-tuning experience
  • Multimodal intent processing capability

Nice-to-have

  • Innovative research on novel architectures
  • Fast-paced startup-like environment fit
  • Ethical AI practices alignment
  • Creative domain knowledge application

Key Requirements

  • Masters or PhD in Computer Science or related field
  • 5+ years of relevant experience required
  • Proficiency in optimized inference engines like vLLM and TensorRT

Work Rights

Not specified

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