Senior Machine Learning Engineer (implementation & Scale)

Trivelta

Boston, MA, United States
On-site
Deep learning, transformers, gradient boosting
End-to-end ml pipeline development
Model optimization for production
You will be responsible for taking proprietary datasets and transforming them into high-performance, deployed models that drive core business value

Job Summary

  • You will be responsible for taking proprietary datasets and transforming them into high-performance, deployed models that drive core business value.
  • Build and maintain robust data pipelines and training workflows to ensure reproducible and scalable model development.
  • You will have a direct seat at the table in defining our technical roadmap.

Matching Summary

You will be responsible for taking proprietary datasets and transforming them into high-performance, deployed models that drive core business value.

Skills & Requirements

Must-have

  • Deep Learning, Transformers, Gradient Boosting
  • End-to-end ML pipeline development
  • Model optimization for production
  • Expert-level Python
  • PyTorch, TensorFlow, or JAX fluency
  • SQL, Spark, and vector databases

Nice-to-have

  • Pragmatic and explainable models
  • Ownership and model monitoring
  • Mentorship of junior engineers

Key Requirements

  • 5+ years ML or SWE experience
  • 3+ years deploying models to production
  • MS or PhD in CS, Math, or related field

Work Rights

Not specified

Tailored Resume

Cover Letter