Machine Learning Research Scientist

About Us: At Perceptronics, we are advancing technology for addressing national security challenges including electronic warfare solutions.  We harness the power of machine learning to create innovative systems that enhance operational capability.

Position Overview:  We are seeking a talented Machine Learning Research Scientist with knowledge and experience applying ML to electronic warfare problems. In this critical role, you will leverage your expertise in ML, signal processing, and electronic warfare to develop algorithms and systems focused on varied EW problems including signal detection, signal classification, anomaly detection, pulse clustering and deinterleaving, emitter identification, etc.,

We are seeking candidates who are particularly interested in using research, creativity, and problem solving to develop new algorithmic solutions to problems. Candidates must be capable of adapting and extending state-of-the-art...

WerQ AI is leading the charge in transformative workplace technology, and we are excited to invite a talented Staff Machine Learning Research Scientist specializing in Generative AI to join our innovative team. In this role, you will drive advanced research projects focused on generative models, developing cutting-edge AI solutions that enhance creativity and productivity in various applications. Your expertise will enable you to push the boundaries of AI, exploring novel approaches and methodologies. You will work collaboratively with cross-functional teams to design and implement scalable AI systems while mentoring junior researchers and contributing to the development of proprietary technology. If you are passionate about generative AI and thrive in an environment that encourages creativity and technical excellence, we want to hear from you!

Responsibilities

• Lead research initiatives in generative AI, developing innovative algorithms and models that...

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 research scientist with a proven publication history related to model compression techniques such as pruning and quantization. This person will work closely with our research team to identify, report...