Senior ML Scientist, Platform Data Systems (Hybrid)

MongoDB; Dublin; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

MongoDB is seeking a Senior Data Scientist for Engineering Systems to partner with Server Query, Atlas Clusters, and Release Quality as we tackle ML-driven improvements across resource scaling and safe feature rollout. Based in Dublin or Cork, this hybrid role invites you to own end-to-end ML development, ship dashboards, and collaborate with platform teams to drive measurable business impact.

Join a team delivering practical ML solutions for MongoDB’s core server, query engine and Atlas, with

Qualifications

• 5+ years of hands-on machine learning model development.
• Autonomous work across the ML development lifecycle from prototyping to deployment.
• Proficiency in Python and object-oriented coding style.
• Ability to communicate ML concepts to non-ML audiences.
• Track record of delivering measurable business impact with ML.

Responsibilities

• Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine.
• Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology.
• Own the full feedback loop: instrument model architecture with metrics to track performance and create dashboards in collaboration with analytics team, collect feedback from users and iterate accordingly.
• Deliver thoughtful, kind code reviews to peers and contribute to internal packages, tooling, and team processes that increase developer productivity.

Skills

ML development

ML lifecycle

Python

Code reviews

Communication

Team collaboration

Education

Master's degree or equivalent

Job description

MongoDB is seeking a Senior Data Scientist for Engineering Systems to partner with Server Query, Atlas Clusters, and Release Quality as we tackle ML-driven improvements across resource scaling and safe feature rollout. Based in Dublin or Cork, this hybrid role invites you to own end-to-end ML development, ship dashboards, and collaborate with platform teams to drive measurable business impact.

Join a team delivering practical ML solutions for MongoDB’s core server, query engine and Atlas, with