Minimum 7 years of industry experience, including 2+ years in a technical leadership role.
MS or PhD in computer science, machine learning, or equivalent experience.
Publications in top-tier machine learning or data mining conferences.
Hands-on experience with large-scale distributed training of generative models.
Experience with distributed tooling for ML data pipelines like Spark or Hive.
Proven track record in leading ambiguous ML research efforts for GenAI models.
Strong cross-functional communication and collaboration skills.
Responsibilities
Set technical direction and strategy for foundational ML capabilities.
Lead scientific and technical initiatives from research to production.
Build reusable ML infrastructure and advance techniques like VLMs and LLMs.
Collaborate with cross-functional teams to translate capabilities into product outcomes.
Establish best practices for modeling, data pipelines, and operational excellence.
Benefits
Flexible work model with in-office collaboration 1-2 times per quarter.
Equity eligibility as part of the compensation package.
Commitment to an equitable and inclusive workplace culture.
Full Job Description
What will you be doing:
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.
What we're looking for:
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
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
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
$189,308-$389,753 USD
About Pinterest
Pinterest is a social media platform that allows users to discover and save ideas for recipes, home decor, fashion, and more. The company was founded in 2010 and is headquartered in San Francisco, California. Pinterest has over 400 million monthly active users and is available in over 30 languages. The company's mission is to help people discover and do what they love.
