Machine Learning Engineer:
We are seeking a Machine Learning Engineer to join a well-funded ($35M Series A) AI hardware start-up. We are pushing the boundaries of non-von Neuman architectures in order to create smart AI hardware that is more efficient both in cost and power compared to today's digital hardware.
As a Machine Learning Engineer, within this role, you be working with a very bright and innovative team to adapt our hardware solution to specific use cases from the beginning (project ideation) to the end (physical deployment) stages. An understanding of Deep Learning architecture is very much needed for this role.
We are looking for a Machine Learning Engineer with a master's or Ph.D. in Comp Sci/ML. A history of published conference papers is not needed, though is a plus. You will be comfortable communicating with clients and translating their feedback into valuable insights for the engineering team.
What we can offer a ML Engineer:
- Competitive base + Salary + Equity
- Fully remote work anywhere in the US
- Strong benefits
Keywords: Machine Learning Engineer, Masters, DL algorithm development, optimization, neural networks, MLPs, CNNs, RNNs, GRYs, transformers, MLP-mixers, Pytorch, TensorFlow, Jax, SOTA, AutoML, Modern Compression techniques