{"schemaVersion":"jobsearcher.job.v1","id":"4bdff5b1c2572a74b43c2347","url":"https://jobsearcher.com/jobs/4bdff5b1c2572a74b43c2347","canonicalUrl":"https://jobsearcher.com/jobs/4bdff5b1c2572a74b43c2347","title":"Staff Machine Learning Engineer, Computer Vision","description":"ResponsibilitiesPrototype state‑of‑the‑art visual encoders that power Pinterest's recommender systems and internal visual language models.\r\nExperiment with billion‑scale datasets and gain hands‑on experience with large‑scale GPU computing.\r\nBuild flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction‑tuned embedding and generative models.\r\nRead research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy.\r\nHelp collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text‑to‑image generation, and visual language modeling.\r\nPublish and share your work through conferences, paper submissions, and blog posts.\r\nMentor junior researchers and research interns within the Pinterest Labs organization.\r\nQualificationsResearch engineers and scientists with experience building and training computer vision models.\r\nExperience with multimodal representations and visual language modeling is strongly preferred.\r\nA track record of research contributions (e.g., publications, open‑source work) and/or shipping ML models to production.\r\nHands‑on experience with large‑scale model training and modern deep learning frameworks (e.g., PyTorch).\r\nStrong collaboration skills and a demonstrated ability to work effectively in a small, fast‑moving team.\r\nM.S. or Ph.D. in Machine Learning or related academic areas, or equivalent work experience.\r\nPublications at top ML conferences.\r\nExperience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.\r\nRelocationThis position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\r\nIn‑Office RequirementThe role will need to be in the office for in‑person collaboration 1-2 times per quarter and therefore can be situated anywhere in the country.\r\nSalaryUS based applicants only: $189,308 - $389,753 USD.\r\nOur Commitment to InclusionWe are an equal opportunity employer and make employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information, or characteristics (or those of a family member), or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.#J-18808-Ljbffr","company":"Segment Twilio","rawCompany":"segment twilio","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-23T01:13:49.543Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Machine Learning Engineer, Computer Vision","description":"ResponsibilitiesPrototype state‑of‑the‑art visual encoders that power Pinterest's recommender systems and internal visual language models.\r\nExperiment with billion‑scale datasets and gain hands‑on experience with large‑scale GPU computing.\r\nBuild flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction‑tuned embedding and generative models.\r\nRead research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy.\r\nHelp collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text‑to‑image generation, and visual language modeling.\r\nPublish and share your work through conferences, paper submissions, and blog posts.\r\nMentor junior researchers and research interns within the Pinterest Labs organization.\r\nQualificationsResearch engineers and scientists with experience building and training computer vision models.\r\nExperience with multimodal representations and visual language modeling is strongly preferred.\r\nA track record of research contributions (e.g., publications, open‑source work) and/or shipping ML models to production.\r\nHands‑on experience with large‑scale model training and modern deep learning frameworks (e.g., PyTorch).\r\nStrong collaboration skills and a demonstrated ability to work effectively in a small, fast‑moving team.\r\nM.S. or Ph.D. in Machine Learning or related academic areas, or equivalent work experience.\r\nPublications at top ML conferences.\r\nExperience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.\r\nRelocationThis position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\r\nIn‑Office RequirementThe role will need to be in the office for in‑person collaboration 1-2 times per quarter and therefore can be situated anywhere in the country.\r\nSalaryUS based applicants only: $189,308 - $389,753 USD.\r\nOur Commitment to InclusionWe are an equal opportunity employer and make employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information, or characteristics (or those of a family member), or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.#J-18808-Ljbffr","datePosted":"2026-09-23T01:13:49.543Z","dateModified":"2026-09-23T01:13:49.543Z","hiringOrganization":{"@type":"Organization","name":"Segment Twilio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4bdff5b1c2572a74b43c2347"},"url":"https://jobsearcher.com/jobs/4bdff5b1c2572a74b43c2347"}}