Staff Machine Learning Engineer, Content Understanding

Pinterest - Palo Alto, CA

Full-time - Senior

Palo Alto, CA

Professional, Scientific, and Technical Services

About the position

As a Staff Machine Learning Engineer for the Content Understanding team at Pinterest, you will play a crucial role in developing knowledge graphs and content understanding signals that enhance personalized recommendations across various Pinterest ecosystems. This position involves utilizing advanced machine learning techniques, collaborating with cross-functional teams, and driving technical strategy to solve complex problems independently.

Responsibilities

• Utilize state of the art machine learning, natural language processing, and multimodal modeling techniques to build content signals that power personalized product experience across Pinterest ecosystems.
• Gather, examine, and integrate findings from data to build effective data-driven models.
• Partner with surface engineering teams and product team to discover opportunities to improve recommendation on Pinterest through content/user understanding.
• Drive team level tech strategy, and solve complex problems independently.

Requirements

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related fields.
• 5+ years of industry experience in machine learning in industry and 1+ years of TL in use cases with large scale: content understanding, recommendation systems, information retrieval.
• Experience with Generative AI and LLM.
• Hands-on experience working with large scale ML modeling development and productization.
• Effective collaborator working with cross functional partners and an excellent communicator.

Benefits

• Equity eligibility
• Base salary range of $166,694—$342,844 USD