Senior Algorithm Engineer-ML Inference and Data Systems
We are looking for a Senior Algorithm Engineer to lead the design and development of large scale ML inference and data processing systems in production. In this role, you will work at the intersection of algorithms, data systems, and machine learning infrastructure, building scalable and efficient solutions that support high throughput model inference and large scale data processing. The position involves close collaboration with ML researchers and infrastructure teams to design robust systems that power production ML workloads.
What will your job look like:
- Design and optimize algorithms and pipelines for large scale model inference.
- Build scalable systems for high throughput data processing and streaming.
- Develop data transformation and preprocessing components for ML workloads.
- Improve performance, efficiency, and reliability across distributed inference systems.
- Work closely with ML researchers, infrastructure, and platform teams.
- Drive architectural decisions for production ML and data systems.
All you need is:
- 5+ years of experience in Algorithm Engineering, ML Infrastructure, or Data Systems.
- Strong programming skills in Python.
- Hands on experience with Spark, Polars, Pandas, DuckDB, and AWS.
- Strong understanding of distributed systems, scalability, and performance optimization.
- Experience building or supporting ML inference pipelines in production.
- Strong system design and architecture skills.
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