Machine Learning Engineer in Massachusetts

Are you passionate about solving complex problems with cutting-edge machine learning techniques? Do you love transforming raw data into intelligent systems that can make predictions, automate processes, and provide deep insights? If you're excited about building scalable, high-performance machine learning models that drive business innovation, then our client has the perfect opportunity for you. We’re looking for a Machine Learning Engineer (aka The Model Innovator) to develop, deploy, and optimize machine learning models that transform how we leverage data for decision-making.

As a Machine Learning Engineer at our client, you will work alongside data scientists, software engineers, and product managers to build machine learning solutions that power intelligent applications and services. You’ll be responsible for creating scalable algorithms, refining model performance, and ensuring that our AI systems deliver high-quality...

Neural Magic is an early-stage AI software company democratizing high performance for deep learning models. Our goal is to reduce the cost and increase the performance of end-users deploying deep learning applications. Based on decades of research at MIT, Neural Magic has developed a software platform that allows developers to sparsify deep learning models to minimize footprint and run on CPUs at GPU speeds. Please look through our website and GitHub repos to get a feel of what we are about.

Founded by an award-winning team of computer scientists and researchers out of MIT, we are a venture-backed company headquartered in Davis Square, Somerville, MA. Our investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC.

We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. This person will work closely with our technical and research teams to develop training and...