Qualifications

• Extensive experience in technical leadership and mentoring of junior ML engineers
• Proven track record of successfully leading and delivering complex, scalable machine learning projects
• End-to-end experience of training, evaluating, testing and deploying machine learning products at scale
• Experience building data pipelines and driving ETL design decisions leveraging disparate data sources
• Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
• Experience with the following: Python, shell scripting, streaming and batch data pipelines, vector databases, DBT, BigQuery/BigTable or equivalent, orchestration tools
• Experience with running machine learning in parallel environments (e.g. distributed clusters, GPU optimization)

It would be great if you have:

• Built search related products e.g. chatbots, search ranking/relevance algorithms, personalization and recommender systems
• Previous experience using Spark (either via Scala or Pyspark)
• Experience with statistical methods like regression, GLMs or experiment design and analysis, other advanced techniques are also welcome
• Experience with NLP, Deep Learning, and Language Models preferred for roles focussed on generative AI features such as Sidekick, along with product discovery
• Exposure to other languages such as Ruby, Rails, Typescript

All your information will be kept confidential according to EEO guidelines.