Sr. Machine Learning Engineer, Computer Vision
Sr. Machine Learning Engineer, Computer Vision
Job Description
Responsibilities
- Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model.
- Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
- Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
- Publish and publicize your work via conferences, paper submissions, blog posts, etc.
- Mentor more junior researchers or research interns within the Pinterest Labs organization.
Qualifications
- Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.
- 5+ years of industry computer vision experience.
- M.S. or PhD in Machine Learning, Computer Science, or related areas.
- Publications at top ML conferences.
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
161,263 - 332,012 USD / yearly
Estimated Salary Rangemedium confidence
180,000 - 300,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Experience working with generative computer vision models, preferably diffusion modelsintermediate
- Hands-on experience working with diffusion text-to-image modelsintermediate
- Independent model implementation skillsintermediate
- Industry computer vision experienceintermediate
Required Qualifications
- Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. (experience)
- 5+ years of industry computer vision experience. (experience)
- M.S. or PhD in Machine Learning, Computer Science, or related areas. (experience)
- Publications at top ML conferences. (experience)
Responsibilities
- Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model.
- Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
- Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
- Publish and publicize your work via conferences, paper submissions, blog posts, etc.
- Mentor more junior researchers or research interns within the Pinterest Labs organization.
Tags & Categories
Sr. Machine Learning Engineer, Computer Vision
Sr. Machine Learning Engineer, Computer Vision
Job Description
Responsibilities
- Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model.
- Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
- Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
- Publish and publicize your work via conferences, paper submissions, blog posts, etc.
- Mentor more junior researchers or research interns within the Pinterest Labs organization.
Qualifications
- Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.
- 5+ years of industry computer vision experience.
- M.S. or PhD in Machine Learning, Computer Science, or related areas.
- Publications at top ML conferences.
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
161,263 - 332,012 USD / yearly
Estimated Salary Rangemedium confidence
180,000 - 300,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Experience working with generative computer vision models, preferably diffusion modelsintermediate
- Hands-on experience working with diffusion text-to-image modelsintermediate
- Independent model implementation skillsintermediate
- Industry computer vision experienceintermediate
Required Qualifications
- Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. (experience)
- 5+ years of industry computer vision experience. (experience)
- M.S. or PhD in Machine Learning, Computer Science, or related areas. (experience)
- Publications at top ML conferences. (experience)
Responsibilities
- Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model.
- Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
- Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
- Publish and publicize your work via conferences, paper submissions, blog posts, etc.
- Mentor more junior researchers or research interns within the Pinterest Labs organization.
Tags & Categories