Machine Learning Engineer

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.

3+ years of experience in machine learning engineering, applied ML, or related software engineering roles.

Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).

Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.

Familiarity with CI/CD pipelines, testing automation, and version control using Git.

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end-to-end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

This role can be located in St. Louis, MO; Boston, MA.

Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.

Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.

Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.