Machine Learning Research Engineer (8-bit Quantization, Optimization)

We are currently seeking a Machine Learning Research Engineer (8-bit Quantization, Optimization) to join an innovative MIT spin-off that has dedicated its work to building technology that matters. As a Machine Learning Research Engineer in our company, you will join us in continuing our path of technological breakthroughs within modern-day computing through the use of Deep Learning applications in a way that has never been done before.

Located in the Greater Boston, this post series A startup is keen on bringing in talented researchers and scientists to aid in the production of high-performance computer hardware that is built with the intent of optimizing the speed and accuracy of the traditional computational architecture.

Our ideal ML Research Engineer would be a well-rounded individual with a background in Machine Learning Research and Software Engineering, ideally having experience working with quantization/pruning/model compression/model optimization.

We can offer our Machine Learning Research Engineer:

A chance to develop the next generation of computing architecture
A culture rooted in diversity that offers our employees the opportunity to work with some of the best scientists, engineers, and coders from around the globe
An extremely energetic work environment with a mature start-up feel
Expansive benefits coupled with the promise of exciting technical innovation

Key Skills: ML conferences, NeurIPS, NIPS, ICML, ICLR, CVPR, SysML, CPU, GPU, NN, Machine Learning, algorithms, models, training, optimization, computer science, CC++, C, Python, software engineering, data scientist, neutral network, 8 bit quantization, quantized models, quantization, AWS, Azure, Pyspark, Tensorflow, Pytorch, floating point, inference, low precision

Machine Learning Research Engineer (Optimization)