Staff Machine Learning Engineer, Content Visual AI

Описание

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact. As part of Pinterest Labs, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers. In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions.

Responsibilities

• Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search
• Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale
• Identify timelines and obtain resources needed
• Identify new and upcoming research opportunities by interacting with external and internal collaborators
• Own long-term research strategy and plans to expand the impact of Applied Science
• Act as a technical leader in the applied AI space
• Partner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact

Requirements

• MS/PhD in Computer Science, or equivalent industry experience
• Minimum 6 years of relevant industry experience
• Hands-on experience with large-scale recommendation system and reinforcement learning applications
• Technical leadership and experience in driving ambiguous research problems into production deliverables
• Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)
• Cross-functional collaborator and strong communicator

Nice to have

• Experience with LLM/VLM post-training

We offer

• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country
• This position is not eligible for relocation assistance
• The base salary range for this position is $227,871—$469,147 USD
• 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
• US based applicants only