Related skills
nlp hadoop kafka spark llmsπ Description
- Lead backend and ML engineers to build signals and systems for Discovery, Ads, Growth.
- Set long-term vision for content distribution and recommender systems.
- Manage roadmap, decisions, risk, and progress updates to meet goals.
- Build ML systems, candidate generators, and features for millions of Pins daily with low latency.
- Predict fresh content and engagement; tune content titles to boost engagement.
- Identify and remove biases in recommender systems and measure impact of changes.
π― Requirements
- 7+ years industry experience; 2+ years in management.
- Large-scale ML systems for search and recommendations.
- Big data: Hadoop, Spark; real-time streaming (Kafka, Flink).
- NLP models and LLMs for content understanding.
- Led high-performing teams within a visible business vertical.
- Cross-functional collaboration; Bachelor's in tech field or equivalent.
π Benefits
- PinFlex: hybrid/remote with in-person 1-2 times per quarter.
- Equity eligibility.
- Inclusive, growth-oriented culture and strong benefits.
- Work across Discovery, Ads, and Growth platforms.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!