Description: I am currently working in partnership with a stealth-mode autonomous navigation start-up, who are looking for smart and highly motivated Machine Learning Engineers to join their team in the South Bay – to help scale their business.
This company has built an elite team of researchers, engineers and mathematicians, working on fundamental safe algorithmic navigation, completely independent from any human input. Their current team is made up of individuals from CalTech, Stanford, MIT, Berkeley, UPenn, CMU, University of Cambridge, Google, Intel, Microsoft and Facebook. The strength of the core-team mirrors the company’s standards as a whole and the work that they have already begun to develop exemplifies this further.
The applicability of my client’s product is vast – impacting a number of different autonomous technologies, including drones, robots and autonomous vehicles. All through use of their state of the art applied mathematics, computer vision and semi-supervised deep learning technology. My client has a data-set in the multi-million range and has just closed its third round of funding ($multi-millions).
The successful candidate will be an expert in working with novel unsupervised learning algorithms at petabyte scale. You have successfully implemented and maintained steady streams of deep learning experiments and have developed/maintained petabyte scale experiment analysis infrastructure. You count Python as your expert language, where you have experience working with machine learning frameworks (Tensorflow, PyTorch, Keras etc.) and have previous experience customizing neural networks. Bonus points for experience in AWS/Google Cloud.
This is great opportunity to join a firm, as one of the first 15 employees, which set to grow substantially over the next 12 months. Compensation packages on offer here are very competitive and not what you would expect from a company still in stealth-mode.
Application Instructions: Please send your resume across to: D.Bennie@westbourne-partners.com