Related skills
docker aws python kubernetes pytorch📋 Description
- Lead the ML team to design, ship, and iterate ML models for targeting and personalization.
- Own the localization platform's technical direction, enabling 40+ languages and growth.
- Apply ML to localization and growth use cases like audience expansion.
- Manage and mentor fullstack and ML engineers with clear expectations and feedback.
- Partner with cross-functional teams to plan roadmaps and run experiments.
🎯 Requirements
- 8+ years building and operating production systems at scale.
- 3+ years leading ML teams with hands-on Python and PyTorch.
- Bachelor's or Master's in CS or related field, or equivalent.
- Proficiency with data processing and distributed systems (Spark or Hadoop).
- Experience with AWS and containerized services (Docker and Kubernetes).
- Design and operate large-scale ML pipelines for training and deployment.
- Background in recommender systems, user modeling, or personalization with A/B testing.
- Bachelor's or Master's in a relevant field or equivalent.
🎁 Benefits
- PinFlex page details our flexible working model.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!