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Vice President Generative Ai Machine Learning Jobs in California

VP of Engineering

Irvine, CA · On-site

$180 - $280/hr

AI is looking for a highly motivated Vice President of Engineering with a passion for leading teams to create groundbreaking machine learning products for watermarking, steganography, or media ...

Generative AI Strategist

Sunnyvale, CA · On-site

$142K - $184K/yr

Are you ready to shape the future of business by unleashing the power of generative AI and machine learning? Join us in driving strategic alignment, fostering collaborative engagement, and leading ...

Generative AI Strategist

Los Angeles, CA · On-site

$130K - $169K/yr

Are you ready to shape the future of business by unleashing the power of generative AI and machine learning? Join us in driving strategic alignment, fostering collaborative engagement, and leading ...

Generative AI Strategist

San Francisco, CA · On-site

$143K - $185K/yr

Are you ready to shape the future of business by unleashing the power of generative AI and machine learning? Join us in driving strategic alignment, fostering collaborative engagement, and leading ...

Showing results 21-40

Vice President Generative Ai Machine Learning information

What is the difference between Vice President Generative Ai Machine Learning vs Data Science Director?

AspectVice President Generative Ai Machine LearningData Science Director
Required CredentialsAdvanced degrees in AI, ML, or related fields; extensive experience in AI/ML projectsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical background
Work EnvironmentLeadership role overseeing AI/ML teams, strategic planning, and innovationManagement of data science teams, project execution, and data analysis
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsFinancial, healthcare, retail, and other industries utilizing data analytics

The Vice President Generative Ai Machine Learning focuses on leading AI/ML strategy and innovation at a high level, often overseeing generative AI projects. In contrast, the Data Science Director manages data analysis teams, ensuring project delivery and data insights. Both roles require advanced degrees and leadership skills but differ in scope and focus within the AI and data fields.

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VP of Engineering

Steg.AI

Irvine, CA • On-site

$180 - $280/hr

Other

Posted 5 days ago


Job description

# VP of EngineeringIrvine, CA**Full Time — In Office — Irvine, CA**## Job DescriptionSteg.AI is looking for a highly motivated Vice President of Engineering with a passion for leading teams to create groundbreaking machine learning products for watermarking, steganography, or media provenance. This is a challenging role that requires expert level skills in computer vision/machine learning, software engineering, and people management.Steg.AI's mission is to protect and authenticate digital media. We do it by creating software that uses machine learning to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.Founded in 2019, Steg.AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. We service customers across many industries such as consumer electronics, media & entertainment, and government.## Scope of Responsibility* Lead the technology team at Steg.AI* Define, own, and effectively communicate the technology roadmap of Steg.AI* Hire and manage engineers and scientists to build cutting edge watermarking technology and deliver to customers through Web and SDK products* Work with existing and potential customers to ensure that Steg.AI's products meet the needs of the business* Write code across the full stack to improve the Steg.AI products* Communicate plans and results at company and board meetings* Demo products in customer meetings and at trade shows## Qualifications* 3+ years of experience managing a team of engineers and scientists* 5+ years of experience working as a research scientist or software engineer* A minimum Ph.D. level skillset in computer vision and machine learning* A minimum Principal/Staff level skillset in software engineering* Experience with deploying machine learning models to customers through cloud service platforms* The ability and willingness to quickly learn new algorithms, languages, and concepts and implement them* Strong collaboration, communication, and organizational skills## To ApplySend your resume/CV to **careers@steg.ai**Apply now #J-18808-Ljbffr