Manager, Machine Learning Engineering
Adobe
Manager, Machine Learning Engineering
Job Description
Lead a dynamic team in shaping the future of Generative AI. Drive data strategy, ensure quality, and collaborate across teams to innovate. Bring your expertise in machine learning and data management to make a significant impact. Our Company. Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional di... Our Company. Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional... Lead and grow a distributed team focused on training data for Generative AI. Collaborate with researchers, ML engineers, and PMs to align on data needs for new models. 5+ years in engineering leadersh...
Locations
- San Jose, California, United States of America
Salary
Estimated Salary Rangehigh confidence
220,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- cloud data techintermediate
- data qualityintermediate
- generative modelsintermediate
- leadershipintermediate
- cross-functional collaborationintermediate
- data governanceintermediate
- annotation platformsintermediate
- mlops toolsintermediate
- data ecosystemsintermediate
- ethical aiintermediate
- image datasetsintermediate
Required Qualifications
- 5+ years in engineering leadership (experience, 5 years)
Responsibilities
- Lead a dynamic team in shaping the future of Generative AI.
- Drive data strategy, ensure quality, and collaborate across teams to innovate.
- Lead and grow a distributed team focused on training data for Generative AI.
- Collaborate with researchers, ML engineers, and PMs to align on data needs for new models.
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Manager, Machine Learning Engineering
Adobe
Manager, Machine Learning Engineering
Job Description
Lead a dynamic team in shaping the future of Generative AI. Drive data strategy, ensure quality, and collaborate across teams to innovate. Bring your expertise in machine learning and data management to make a significant impact. Our Company. Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional di... Our Company. Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional... Lead and grow a distributed team focused on training data for Generative AI. Collaborate with researchers, ML engineers, and PMs to align on data needs for new models. 5+ years in engineering leadersh...
Locations
- San Jose, California, United States of America
Salary
Estimated Salary Rangehigh confidence
220,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- cloud data techintermediate
- data qualityintermediate
- generative modelsintermediate
- leadershipintermediate
- cross-functional collaborationintermediate
- data governanceintermediate
- annotation platformsintermediate
- mlops toolsintermediate
- data ecosystemsintermediate
- ethical aiintermediate
- image datasetsintermediate
Required Qualifications
- 5+ years in engineering leadership (experience, 5 years)
Responsibilities
- Lead a dynamic team in shaping the future of Generative AI.
- Drive data strategy, ensure quality, and collaborate across teams to innovate.
- Lead and grow a distributed team focused on training data for Generative AI.
- Collaborate with researchers, ML engineers, and PMs to align on data needs for new models.
Tags & Categories
Answer 10 quick questions to check your fit for Manager, Machine Learning Engineering @ Adobe.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs