Pinterest is seeking a Distinguished Machine Learning Engineer, Monetization to develop and execute a vision for the evolution of the machine learning technology stack within Ads Ranking. The successful candidate will lead user-facing projects, improve relevance and increase long term value for Pinners, Partners, Creators, and Pinterest, and collaborate with product managers and designers to develop engineering solutions for user-facing product improvements.
Requirements
- Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
- 12+ years of industry experience in the engineering teams that build large-scale ML-driven user-facing products
- 6+ years of technical leadership experience; leading cross-team engineering efforts that improves user experience in products
- Strong execution skills in project management
- Masters or PhD in computer science, machine learning, statistics, or related fields, or equivalent experience
- Strong software engineering and mathematical skills with knowledge of statistical methods
- Experience in working in frontend, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work
- Experience in closely collaborating with product managers/designers to ship ML-driven user-facing product
- Hands-on experience with large-scale online e-commerce systems is a plus
- Background in computational advertising is preferred
Benefits
- Health insurance
- 401(k) or similar retirement plan
- Stock options or equity
- Paid time off
- Flexible work arrangements
- Professional development opportunities