
Software Development · 14k people
Staff Machine Learning Engineer, Content Visual AI
Posted 8 Oct
What’s this role about? You will lead the technical direction and strategy for foundational machine learning capabilities, including visual representation learning and multimodal content understanding. This involves driving high-impact scientific initiatives from research through to productionization and cross-functional adoption.
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Company
About Pinterest Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where more than 600 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.
Bring everyone the inspiration to create a life they love.

Responsibilities
- Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization.
- Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.
- Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation.
- Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments.
- Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.
Qualification
- Minimum 7 years of industry experience, including 2+ years of tech leading teams
- MS or PhD degree in computer science, machine learning, or equivalent industry experience.
- Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience
- Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models).
- Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce)
- Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.
- Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.
- Excellent cross-functional communication and collaboration skills
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA.
- #LI-AK7
- #LI-REMOTE
- At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
- US based applicants only
Benefits
- Equity
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