Consumer · Visual discovery
- HQ
- San Francisco, US
- Founded
- 2010
- Size
- 4,000+
- Funding
- Public (PINS)
- Website
- pinterest.com
- Blog
- medium.com
Products
Currently tracking 36 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $124k–$485k (avg $265k).
Consumer · Visual discovery
| Title | Stage | AI score |
|---|---|---|
| Sr. Software Engineer, ML Platform, tvScientific ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. The platform underpins a real-time bidding agent and ML training system that drive $100M+ in annual revenue. Focus on building a Kubernetes + Ray backend for model training pipelines, and defining the next generation of the training and serving stack. | ServePost-train | 7 |
| Sr. Engineering Manager, AI/ML Serving Platform Lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest, including ultra-high-performance C++ model inference engines and production GenAI & LLM model inference stacks. | Serve |
| 7 |
| Sr. Engineering Manager, CAMP Lead a cross-platform team responsible for content acquisition, media ingestion, and media signal processing. The role involves setting technical direction, driving execution, partnering with GenAI teams, guiding architectural decisions, building and growing the team, and raising engineering excellence. It also emphasizes leveraging AI tools for development speed and shaping AI-assisted engineering practices, including guardrails for GenAI compliance. | Serve | 5 |
| Staff Software Engineer, Activation Team Staff Software Engineer on the Activation team at Pinterest, focusing on backend systems for new and returning user experience. This role involves driving technical strategy, building APIs, event pipelines, and recommendation serving infrastructure, with a strong emphasis on supporting ML models and collaborating with ML engineers. The position requires experience in large-scale backend systems, product mindset, and system design skills. | Serve | 5 |