Senior Software Engineer, Production Pipelines

Job Description

Productionize research models as versioned, tested inference services and batch jobs, and build reliable distributed inference pipelines for very large image volumes. Own the automated training, evaluation, monitoring, and release processes, while documenting systems and making them usable by scientists.

Requirements: Requires at least five years building and operating production software, including experience running machine learning models in production, strong Python and software engineering practices, and hands-on experience with distributed systems. Candidates should also have experience with containers, workflow orchestration, infrastructure as code, and deploying and optimizing GPU inference; scientific research experience is not required.

Key Skills: Python, Production Software Engineering, Machine Learning Operations, Distributed Inference, Batch Processing, GPU Inference Optimization, Kubernetes, SLURM, Ray, Dask, Spark, Containerization, Workflow Orchestration, Infrastructure as Code, CI/CD, Model Evaluation and Release

Benefits: Health Insurance, Dental Insurance, Vision Insurance, Family Benefits, Matching Retirement Contribution