Machine Learning Engineer

Our client is a MIT-backed startup building next-generation machine learning infrastructure. Early, technical founding team focused on developing scalable, production-ready ML systems.

Responsibilities:

- Architect and build end-to-end machine learning models and supporting infrastructure

- Develop, test, and deploy models using Python, TensorFlow, and PyTorch

- Design ML pipelines, data workflows, and scalable AWS-based environments

- Own experimentation, evaluation, and optimization of models

- Collaborate directly with founders to shape product direction and ML strategy

Requirements:

- Strong experience building ML models and architectures independently

- Deep understanding of machine learning fundamentals, algorithms, and data modeling

- Advanced Python proficiency and hands-on experience with TensorFlow/PyTorch

- Experience with AWS cloud services for ML deployment

- Ability to build production-grade ML systems with minimal oversight