Senior Applied Machine Learning Engineer
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
This role is for a Senior Applied ML Engineer to drive end-to-end ML systems in geospatial, mapping, and recording spaces to enhance fitness experiences.
Own end-to-end AI systems—from prototyping to production deployment, scalable inference, and ongoing maintenance.
Collaborate across product, design, client and server engineering to deploy ML solutions that impact users.
Innovate in AI for fitness by designing novel models for mapping, routing, search, and related features.
Build from rich geospatial and activity datasets using Python/R, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy; develop data pipelines with Spark, Hadoop, EMR, SQL, Snowflake; and run on SageMaker.
Hybrid work in Berlin with three on-site days per week; own outcomes, raise ML standards, and collaborate to deliver user-centered ML products.
Own end-to-end AI systems—from prototyping to production deployment, scalable inference, and ongoing maintenance.
Collaborate across product, design, client and server engineering to deploy ML solutions that impact users.
Innovate in AI for fitness by designing novel models for mapping, routing, search, and related features.
Build from rich geospatial and activity datasets using Python/R, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy; develop data pipelines with Spark, Hadoop, EMR, SQL, Snowflake; and run on SageMaker.
Hybrid work in Berlin with three on-site days per week; own outcomes, raise ML standards, and collaborate to deliver user-centered ML products.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
Already have an account? Log in
Similar openings
Other roles that could suit you.