Top Tech Jobs & Startup Jobs in Boston, MA

The Senior Engineer will build and operate production infrastructure across AWS, GCP, and Azure, focusing on scaling, reliability, and performance for AI systems.

The Senior Cloud Engineer will build and operate multicloud infrastructure across AWS, GCP, and Azure while optimizing performance and reliability for AI systems.

Design and build scalable full stack applications using Node.js and React. Collaborate with teams to enhance features, optimize performance, and maintain robust systems.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

You will design, implement, and optimize NVIDIA CUDA kernels for AI systems, improve GPU memory pipelines, and profile workloads to enhance performance.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

The Staff Machine Learning Engineer will define and build ML capabilities, design production systems, and lead ML strategy in a high-growth AI cybersecurity company.

Define ML strategy and build production ML systems end-to-end (data pipelines, training, evaluation, inference). Own data strategy, integrate ML with product/backend, write production-quality code, and recruit and mentor the ML team while setting technical direction.