Senior Machine Learning Engineer - Algs

Keebo, a pioneering venture-backed startup in the data warehousing space, is seeking a Senior Machine Learning Engineer to join their Algorithms team. The company's innovative Data Learning platform specializes in automated Snowflake optimization, helping customers achieve significant cost savings of 25% or more.

As a Senior Machine Learning Engineer, you'll be at the forefront of developing and implementing cutting-edge ML/RL models that directly impact the company's core business objectives. The role combines deep technical expertise in machine learning with practical software engineering skills, requiring you to build and deploy production-ready models that balance quality, speed, and cost effectiveness.

The position offers an exciting opportunity to work with a globally distributed team of researchers and engineers, supporting customers worldwide. You'll be responsible for the entire ML pipeline, from research and implementation to production deployment, while collaborating closely with the Algorithms team to achieve critical revenue goals.

Keebo offers an attractive compensation package including competitive salary, equity, and comprehensive benefits. The company maintains a fully remote work environment with team members across the US, EU, and Canada, fostering a diverse and inclusive workplace. They organize annual company offsites (previously in Cancún, Mexico) to facilitate team bonding and collaboration.

The ideal candidate should have strong experience in production ML systems, proficiency in Python and SQL, and familiarity with cloud platforms (GCP/AWS). Additional experience with Java, Golang, and Reinforcement Learning would be advantageous. This role presents an exceptional opportunity to make a significant impact in the rapidly growing data warehousing market while working with state-of-the-art ML technologies.