Come help us craft the future

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.

About you

You can dig into a neural network architecture and then can easily transition to discussing and defining a new trial method with the team to ensure we have a solid dataset for our next project.

Today you may be fixing git merge conflicts and shipping a new classifier to production based on results from a study that finished yesterday. Tomorrow you’ll be reviewing our new capture hardware before returning to implementing an LSTM for time series analysis of eye movements.

The Role

• 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.

Extra Points

• Proven experience using GPUs and/or cloud services to accelerate training

• Computer vision and imaging experience, OpenCV is a double bonus, Pupil Labs is a triple

• GitHub or other contributions we can check out

Education and Work Experience

• Bachelor’s degree in engineering, computer science or mathematics

• Experience collaborating on software projects using version control such as Git, GitHub, Bitbucket, etc.

Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Because of our work this position requires access to Covered Defense Information for which the US Government requires US Citizenship

You'll also need to pass an FBI background check

Senseye maintains a drug free workplace and conducts pre-employment substance abuse testing. Senseye may also conduct substance abuse testing during employment, in accordance with its policies and customer requirements. Employment is subject to successfully completing and passing such tests.