Senior Machine Learning Platform Engineer (Platform)

What you’ll be doing (ie. job duties):

• 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.

What we look for in you (ie. job requirements):

• 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.

Nice to Have:

• 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).

Job #: GPMLP05US