• Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps
• Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level
• Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs
• Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data
• Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data

Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance

• 5+ yrs of industry experience as a Software Engineer
• You have a strong understanding of distributed systems
• You lead by example through high quality code and excellent communication skills
• You have a great sense of design, and can bring clarity to complex technical requirements
• You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience
• You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level
• Experience building ML models and working with ML systems

Experience working on a platform team, and building developer tooling

Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB)