Senior Machine Learning Engineer

Adobe is a global leader in digital experiences, empowering everyone from emerging artists to global 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 passionate Senior Full-stack ML Engineer to join their Content Generation team. The role focuses on transforming research-level proof of concepts into production systems like Genstudio for Performance Marketing. The team's mission is to empower customers to generate high-performing, on-brand marketing content at scale.

The position involves driving system design, assessing ML models, developing production data/ML pipelines, creating automation architecture, building visualizations, and deploying systems. The team consists of diverse engineers and scientists with deep expertise in machine learning.

Key responsibilities include:

  • Training and fine-tuning ML models for business use cases
  • Architecting and optimizing end-to-end ML pipelines
  • Data analysis and model recommendation
  • Full lifecycle involvement in ML systems

Requirements include:

  • PhD or postgraduate degree in Computer Science/Engineering or equivalent experience
  • 5+ years of ML Engineering experience with successful customer deliveries
  • 2+ years hands-on experience with generative AI technologies
  • Strong Python and deep learning skills
  • Experience with LLM frameworks and tools
  • Knowledge of deployment technologies and cloud platforms
  • Excellent problem-solving and communication abilities

The role offers competitive compensation ($142,700 - $257,600), comprehensive benefits, flexible work arrangements, and opportunities for continued learning and development. Adobe's collaborative culture encourages growth, innovation, and making real impact in machine learning and AI.

Last updated 6 hours 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 of ML models
  • Drive system design and assessment
  • Develop production data/ML pipelines
  • Create automation architecture
  • Build visualizations
  • Deploy ML systems

Requirements For Senior Machine Learning Engineer

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

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