Machine Learning Engineer 50

Adobe Media and Data Science Research (MDSR) Laboratory

San Jose, California, US
$172,500 -- $306,625 annually; not specified; not ...
Machine learning model training and finetuning
End-to-end ml pipeline architecture and optimization
Deep dive into data for model selection
Shape how thousands of B2B enterprises leverage AI to transform pipeline generation and accelerate deal velocity

Job Summary

  • Shape how thousands of B2B enterprises leverage AI to transform pipeline generation and accelerate deal velocity.
  • Train and finetune ML models that solve business use cases and handle data at scale, architecting and optimizing end-to-end ML pipelines.
  • Provide hands-on technical leadership, guiding engineers through architecture, building, implementation, and established guidelines across organizational boundaries.

Matching Summary

Shape how thousands of B2B enterprises leverage AI to transform pipeline generation and accelerate deal velocity.

Salary

$172,500 -- $306,625 annually; Not specified; Not specified

Skills & Requirements

Must-have

  • Machine learning model training and finetuning
  • End-to-end ML pipeline architecture and optimization
  • Deep dive into data for model selection
  • Hands-on technical leadership
  • Python and deep learning engineering skills
  • PyTorch or TensorFlow/JAX experience

Nice-to-have

  • Retrieval-augmented generation (RAG)
  • Semantic embeddings and agentic AI workflows
  • Published research or open-source contributions
  • Experience with Adobe Experience Platform
  • Strong communication and collaboration skills

Key Requirements

  • 10+ years of machine learning experience
  • 3+ years of generative AI and LLM experience
  • Experience with post-training techniques
  • Knowledge of deployment tools (Docker, ML Ops)
  • Cloud platform experience (Azure, AWS)

Work Rights

Not specified

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