Senseye | Austin, TX (ONSITE) | Full-time | $80k - $100k + Equity | Machine Learning Software Engineer | <a href="
Senseye aims to revolutionize the way humans communicate with technology. We are developing a unique, sensory interface technology to create a direct link from a computer to a human’s mind via the complex dynamic properties of the human eye.
We're looking for a machine learning engineer that loves solving meaningful problems to join our team in downtown Austin. We are a diverse group of people with a broad range of backgrounds, experience, and perspectives who have a lot of work to do and we're excited to have your help to achieve our visionary goals.
• From deep learning to gradient boosting, apply your experience and training to select, develop, and refine a variety of machine learning systems.
• Utilize frameworks such as TensorFlow, Keras, scikit-learn, Torch/ PyTorch, XGBoost, et al. to implement ML into production.
• Use your knowledge in an Object Oriented language (we primarily use Python) to write and maintain safe, clean, and testable code and combine your efforts.
• Sift through data to preprocess, feature engineer, visualize, and prepare for machine learning applications.
• Join forces with our research and engineering resources to interpret and apply existing research where possible and develop and conduct new trials when needed.
• Stay sharp by finding ways to grow your knowledge and help us to continually improve. We’re embarking on a new path, and don’t know everything that we don’t know yet.
• Find ways to apply your adaptability and flexibility. We're a small group and need all the teamwork we can get to reach our goals.
Apply here: <a href="
Ask HN: Who is hiring? (June 2018)