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

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