Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $110K - $150K.
This information is not specified in the job description.
Requirements include a Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or related field; 3+ years in a fast-paced environment; experience resolving user issues and building ML deployment tools; familiarity with ML pipelines and model optimization like TensorRT; and expertise in open-source libraries for ML models.
The culture emphasizes pride, ownership, accountability, user empathy, navigating ambiguity with good judgment, and expecting the same from teammates in a fast-paced, high-growth environment.
Strong candidates have advanced degrees in relevant fields, 3+ years in fast-paced environments, hands-on experience with ML pipelines, model optimization like TensorRT, and contributing to open-source libraries, plus the ability to own projects end-to-end with user empathy.
Platform for deploying and managing ML models
Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.