Sr. Staff Machine Learning Engineer, Applied Research Science
About The Position
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest Labs, you'll join a world-class team of research scientists and machine learning engineers to tackle cutting-edge challenges in machine learning and artificial intelligence. This role places you at the intersection of applied research and scalable infrastructure, focusing heavily on ML framework and efficiency. You will conduct research that can be applied across Pinterest engineering teams, engaging in external collaborations and mentoring. Your research focus will specifically target ML efficiency and large-scale infrastructure challenges within high-impact areas such as: generative recommender systems, post-training, reinforcement learning, multi-modality representation learning, and graph neural networks.
Requirements
- MS/PhD in Computer Science or a related field degree.
- 10+ years of industry experience.
- Experience in distributed system, ML frameworks (e.g. Pytorch), scaling laws.
- Experience in research and in solving analytical problems.
- Cross-functional collaborator and strong communicator.
- Comfortable solving ambiguous problems and adapting to a dynamic environment.
Responsibilities
- Design, develop, maintain, and enhance advanced machine learning solutions across various key business areas.
- Lead the technical strategy for optimizing and improving the efficiency of large-scale ML infrastructure.
- Lead high-impact machine learning projects, overseeing priorities, deadlines, and deliverables while providing technical guidance.
- Drive alignment and clarity on goals, outcomes, and timelines across teams.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
