2026 University Graduate - Machine Learning Engineer

Adobe

Seattle, United States
Base: $125,600 -- $234,150 annually; bonus/equity:...
Scalable high-performance generative ai systems
Efficient inference pipelines
Optimize models for latency and throughput
In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere

Job Summary

  • In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.
  • You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.
  • By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis.

Matching Summary

In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.

Salary

Base: $125,600 -- $234,150 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • scalable high-performance generative AI systems
  • efficient inference pipelines
  • optimize models for latency and throughput
  • build APIs and ecosystems
  • statistical and econometric methods
  • predictive models
  • experimental design methods
  • optimization techniques

Nice-to-have

  • working with large-scale datasets
  • big data techniques
  • creativity and technical expertise
  • groundbreaking engineering challenges
  • great teammate

Key Requirements

  • PhD or MS degree required
  • 0-2+ years of experience
  • Proficient in Python, Scala, Java and C
  • Familiar with R, Matlab and scikit learn
  • Knowledge of relational databases and SQL
  • Strong analytical and quantitative problem-solving ability

Work Rights

Not specified

Tailored Resume

Cover Letter