Machine Learning Engineer
Hybrid (Remote (U.S. time zones preferred)), Hybrid (Cambridge, MA)Full-TimePosted 10mo ago
About the role
Themis AI seeks a Machine Learning Engineer to deploy, evaluate, and drive adoption of Capsa, a platform for scalable, real-time uncertainty estimation in deep learning models. The role blends technical execution with customer success, co-developing ML solutions with external partners and adapting Capsa to new use cases for production-ready impact.
Responsibilities
- Design and implement custom ML solutions, including training, evaluation, and model deployment workflows, across diverse and multi-disciplinary use cases
- Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
- Build and deliver demos, proof-of-concept systems, and reproducible benchmarks that showcase product value
- Analyze model performance, uncertainty behavior, and calibration outcomes to provide actionable insights to customers
- Collaborate with customers to understand their machine learning pipelines, objectives, and requirements
- Be a team player and a positive influence within the engineering team culture
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field
- 3+ years of experience building and evaluating deep learning models in PyTorch and/or TensorFlow
- Solid understanding of ML fundamentals: training, optimization, overfitting, evaluation metrics, model calibration, etc.
- Strong communication skills and prior experience in technical collaboration with cross-functional / multi-disciplinary teams
- Background in statistics, probability theory, and linear algebra
Skills
Required:Custom ML solution designCommunication and collaboration
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Themis AI
Make any AI model safe and reliable.
Themis AI | Make any AI model safe and reliable.
uncertainty quantificationmachine learningAI safety
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