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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Senior Algorithm Engineer-ML Inference and Data Systems