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Machine Learning Engineer

2 months ago


San Jose, California, United States Adobe Full time
About the Opportunity

Adobe is seeking a highly skilled Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting opportunity to work in Adobe Firefly's applied research organization, surrounded by talented individuals who build the Firefly family of models from research inception to production.

Key Responsibilities
  • Contribute to research and advanced development that can be applied to Adobe product development.
  • Help integrate novel research work into Adobe Firefly product.
  • Lead and collaborate on projects across different teams.
Requirements
  • Currently enrolled full-time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, machine learning, AI, computer science, statistics, or scene semantic understanding or equivalent experience required.
  • 1+ years of experience in computer vision or natural language processing or machine learning.
  • Some experience in Generative AI.
  • Experience communicating research for public audiences of peers.
  • Experience working in teams.
  • Knowledge in Python and typical machine learning development toolkits.
  • Ability to participate in a full-time internship between May-September.
About Adobe

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability, or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $61.00 hourly.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race, or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity, or expression, veteran status, or any other applicable characteristics protected by law.