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PinterestStaff Machine Learning Engineer, Content Visual AI
Pinterest is hiring a Staff Machine Learning Engineer for its Content Visual AI work in the User and Content Foundations organization. The posting also calls the…
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About This Role
Pinterest is hiring a Staff Machine Learning Engineer for its Content Visual AI work in the User and Content Foundations organization. The posting also calls the role a Technical Lead position and is open to candidates across the USA. Relocation help is not offered, and in-office collaboration is needed one to two times a quarter. The organization produces reusable signals and insights about content, users and their interactions. Those signals…
Job Description
Pinterest is hiring a Staff Machine Learning Engineer for its Content Visual AI work in the User and Content Foundations organization. The posting also calls the role a Technical Lead position and is open to candidates across the USA. Relocation help is not offered, and in-office collaboration is needed one to two times a quarter.
The organization produces reusable signals and insights about content, users and their interactions. Those signals support relevance and personalization for Discovery, Search, Growth and Ads. The effort blends distributed ML, big multimodal models, data platforms and product rollout.
The person would chart the technical path and a multi-quarter plan for visual representations, multimodal understanding and LLM-driven personalization. Duties include leading research and engineering projects from problem framing through experiments, production and adoption, and building reusable embeddings, semantic signals and machine learning infrastructure. The role also sets standards for modeling, pipelines, training at scale, inference and evaluation, and mentors engineers and scientists.
Candidates should bring seven or more years of industry experience, including two or more years of technical team leadership, and an advanced degree in a quantitative field or equivalent industry experience. Hands-on work training generative models at scale, plus distributed data tools such as Spark, Hive or MapReduce, is expected. Publications at major conferences or open-source contributions are also listed.
Responsibilities
- Set technical direction and a multi-quarter strategy for visual representation learning and multimodal understanding
- Lead research and engineering work from problem framing through production and adoption
- Build reusable embeddings, semantic signals and machine learning infrastructure
- Set standards for modeling, pipelines, training, inference and evaluation
- Turn foundational capabilities into product results with product, data science and engineering partners
- Mentor engineers and scientists
Requirements
- Seven or more years of industry experience, including two or more years of technical team leadership
- Advanced degree in a quantitative field, or equivalent industry experience
- Publications at leading ML, multimodal or data mining conferences, or open-source ML work
- Hands-on experience training LLMs, VLMs or sequence models at scale
- Experience with distributed data tools such as Spark, Hive or MapReduce
- Track record leading unclear ML projects for content understanding, search or recommendations
- Strong collaboration and cross-team communication skills
Qualifications
- Deep knowledge of visual representation methods and content understanding
- Familiarity with user modeling, recommendation systems and language models
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
The posting says the role can be located anywhere in the USA, with in-office collaboration one to two times a quarter. It does not name a specific office, though the listing shows Seattle.
What is the base pay range?
The posting lists a US base salary range of $189,308 to $389,753 USD for US-based applicants, and says the role is eligible for equity.
Is relocation assistance offered?
No, relocation help is not offered for this role.
What experience is required?
The posting requires at least seven years of industry experience, two or more years of technical team leadership, and an advanced degree or equivalent industry experience.
Sample Interview Questions
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