Senior Machine Learning Engineer
senior$258K – $996K
via Ashby
About this role
[https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/13483750-170e-4f68-ba7d-ff5ae217444b/hog%20rider%202.0.jpeg]
WE’RE LOOKING FOR A SENIOR MACHINE LEARNING ENGINEER WHO CAN BUILD LARGE-SCALE SYSTEMS AND TURN THEM INTO IMPACTFUL SOLUTIONS FOR PLAYERS AND THE BUSINESS. IF DESIGNING REAL-TIME, PLAYER-FACING USE CASES WITH MEASURABLE IMPACT AT MASSIVE SCALE SOUNDS EXCITING, THIS COULD BE A GREAT FIT.
Supercell is rapidly scaling its machine learning capabilities. We are building a scalable ML platform and bringing personalized player experiences into production at massive scale. Our ambition is to empower game teams to deliver billions of automated, data-driven decisions across the full player journey every day.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, fastapi, redis, databricks…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlfastapiredisdatabricksawsgcpkubernetesdockerterraformgithub actionsgrafanaprometheussparkpytorchtensorflowclaudemlflowweights and biaseskubeflowraygithubteams