Machine Learning Engineer

Austin, Texas, United States · Engineering

Description

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 have knowledge and experience with a wide variety of machine learning and statistical models, applying these tools to computer vision and tabular problems. You are comfortable making additions to existing production code based on modeling needs and updates. You understand the unique challenges of modeling compared to software development and have balanced these needs in past projects. You have experience defining modeling problems, preparing data through analysis, wrangling, cleaning, training, and testing statistical and machine learning models. You understand the difference between a test score in model building and actual product performance and know how to design processes to quantify this. You use your knowledge of machine learning algorithms to computer vision products as well as making predictions on statistical datasets. You work comfortably with APIs and out-of-memory data. You are curious, dedicated to learning and improvement, and have no problem being honest about where a modeling project is at and what its limitations might be.


The Role

Requirements

Education and Work Experience

Additional Requirements

Our General Hiring Process

Benefits


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, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

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Did you know that women apply for open jobs only if they think they meet 100 percent of the criteria listed? Men will apply to that same posting if they feel they meet 60 percent of the requirements.

We know that not everyone comes from the same background, has had the same experiences, or education, and we wouldn’t want it any other way. Don’t worry about checking every single box, instead we want you to bring your own unique outlook to the team, whatever that might be!

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