Atlas is an Austin-based data analytics company and the developer of the most scientifically advanced multi-activity fitness logging designed to improve indoor and outdoor training. Through our Motion Genome Project, we classify and analyze millions of motions. With a better understanding of these motions, Atlas aspires to influence human behavior in ways that improve quality of life through fitness intelligence and smarter living.
We are motivated team players who thrive in a fast-paced, dynamic environment and love consuming technology almost as much as creating it. If you’re a smart, creative, ambitious individual, who’s always looking for a better way, we’d like to talk to you.
You will help push the limits of machine learning as a key member of the data science team, whose responsibilities range from implementing highly optimized machine learning algorithms for lower-power environments to high level user studies. You will have the opportunity to carry a project suiting your skills and interests from conception to deployment. Low power gesture recognition, routine and activity recommendation, model personalization, and improved form analysis.
Send your resume to email@example.com for consideration. No recruiters, please.