Adobe Systems Incorporated-posted 3 months ago
$120,700 - $228,600/Yr
Full-time • Entry Level
Seattle, WA
5,001-10,000 employees
Publishing Industries

Adobe Firefly's Generative AI Services team is seeking a Machine Learning Engineer for our GenAI Services area. 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 throughput 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. You will tackle Adobe's most complex engineering challenges at the forefront of the industry and help set technical direction while collaborating with other ML engineers. 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.

  • Design and develop APIs and services that integrate a wide range of generative models into Adobe's flagship products, ensuring seamless user experiences.
  • Build and optimize GPU-accelerated pipelines for model training and inference, prioritizing performance, scalability, and reliability across enterprise-scale deployments.
  • Collaborate with Adobe Research and model developer teams to implement inference strategies and productionize modern generative models.
  • Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration that handle massive user loads.
  • Foster an atmosphere of creativity and technical expertise while addressing Adobe's groundbreaking engineering challenges.
  • Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques.
  • Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems.
  • Collaborate with product management and engineering groups to develop new products and features.
  • PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required.
  • 0-2+ years of experience in specific skill/field(s).
  • Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
  • Proficient in one or more programming languages such as Python, Scala, Java and C.
  • Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn.
  • Knowledge and experience of working with relational databases and SQL.
  • Strong analytical and quantitative problem-solving ability.
  • Outstanding communication and relationship skills, and a great teammate.
  • Familiarity with working with large-scale datasets and big data techniques.
  • 401k
  • health_insurance
  • dental_insurance
  • vision_insurance
  • life_insurance
  • disability_insurance
  • paid_holidays
  • paid_volunteer_time
  • tuition_reimbursement
  • professional_development
  • flexible_scheduling
  • employee_stock_purchase_plan
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