Senior Machine Learning Engineer

Adobe transforms digital experiences, empowering artists and brands with creative tools and solutions.
$142,700 - $257,600
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Machine Learning Engineer

Adobe's Experience Intelligence team is seeking a Senior Machine Learning Engineer to join their Content Generation team. This role focuses on transforming research-level concepts into production systems like Genstudio for Performance Marketing. The position involves training and fine-tuning ML models, architecting end-to-end ML pipelines, and working with generative AI technologies.

The ideal candidate will have a PhD or postgraduate degree in Computer Science or related field, with 5+ years of ML Engineering experience and 2+ years of hands-on generative AI work. Strong Python and deep learning skills are essential, along with experience in frameworks like PyTorch, TensorFlow, and tools like Hugging Face and LangChain.

At Adobe, you'll work in a collaborative environment focused on innovation and making real impact in machine learning and AI. The company offers competitive compensation ($142,700 - $257,600 annually), comprehensive benefits, and flexible work arrangements. You'll be part of a diverse team driving the future of digital experiences through AI technology.

The role combines technical expertise with strategic thinking, requiring both strong engineering skills and excellent communication abilities. You'll be instrumental in developing scalable ML solutions that directly impact Adobe's mission of transforming digital experiences. This is an opportunity to work with cutting-edge AI technology while contributing to products that reach millions of users worldwide.

Last updated 7 days ago

Responsibilities For Senior Machine Learning Engineer

  • Train and finetune ML models for business use cases
  • Architect and optimize end-to-end ML pipelines
  • Analyze data to recommend models and evaluation metrics
  • Handle architecture, design, deployment, and production operations
  • Work with cross-functional teams on ML projects

Requirements For Senior Machine Learning Engineer

Python
Kubernetes
  • PhD or postgraduate degree in Computer Science, Computer Engineering, or related field
  • 5+ years of proven experience as a Machine Learning Engineer
  • 2+ years hands-on experience with generative AI technologies
  • Strong Python and deep learning engineering skills
  • Experience with PyTorch or TensorFlow
  • Knowledge of LLM frameworks (Hugging Face, LangChain, PEFT)
  • Experience with Docker, ML Ops, and cloud platforms
  • Strong problem-solving and communication skills

Benefits For Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Competitive compensation
  • Comprehensive health benefits
  • Flexible work arrangements
  • Continued learning and development opportunities

Interested in this job?

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