• Experience with state of the art ML Fairness techniques
• Familiarity with state of the art ML approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
• Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact
• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management
• Strong communication skills to communicate strategy to senior management and outside of the company, externally
• Masters or PhD in Comp Sci or related fields
• Understanding of an object-oriented programming language (Java, C++, Python)

Desirable

• You’ll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics
• Lead projects that involve developing and deploying state of the art ML models in production systems across the company
• Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness
• Mentor junior engineers on the Inclusive AI team and across the company on Inclusive AI / ML Fairness and help them to built that into their workflow
• Work with the team and senior leaders at the company to define and drive technical strategy in this area
• Communicate externally about this work and with external groups including industry, advocacy, and government bodies regarding this work