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