Related skills
machine learning distributed systems observability📋 Description
- Design and build the ML infrastructure powering monetization and ads.
- Develop large-scale data pipelines for impressions, clicks, conversions.
- Create scalable training platforms for ranking, attribution, and bidding.
- Move models safely from experimentation into production.
- Build real-time inference and serving infra with low latency.
- Design experimentation frameworks for A/B tests and measurement.
🎯 Requirements
- 7+ years of professional software engineering in distributed systems or ML infra.
- Experience building ML platforms for data processing, training, or serving.
- Experience with high-volume data pipelines and large-scale online systems.
- Reliable, low-latency systems with strong observability practices.
- Across the ML lifecycle: data, training, deployment, and monitoring.
- Proven impact on performance, scalability, and reliability in production.
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!