Machine Learning Engineer
Lotus Labs Inc
Headquarters: Phoenix, Arizona
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We are looking for a Senior Machine Learning Engineer that can lead, hire and grow our team at Lotus Labs that is primarily focused on emerging technologies.
You are passionate about your work and treat it as a craft. You are intrinsically motivated and proactive in getting things done. You have good problem solving capabilities and strong programming fundamentals. You care about the product and focused on building the best product rather than the job title, office politics and don’t care for hierarchy and bureaucracy. If this is you and you are eager to join a fast growing company and would like to play a major role in shaping the company, you should apply.
About Lotus Labs
Lotus Labs creates software products that makes a difference in people’s lives. We are in the initial stages of building an emerging technology company focused on Artificial Intelligence and its applications like autonomous vehicles. We have a team of product designers and developers with PhD in Data Science and can tackle any technology problem.
We can solve the toughest challenge in emerging tech industry!
Why should I be excited to work here?
First, it’s fun. Not in the “everyone pretend to have fun, we’re a startup, where are the Nerf guns?” way, either. It’s fun to work at Lotus Labs because beyond the perks and good times, we’re a happy team of people who love to design and build great products. It’s not just that we have a great organizational structure in which everyone is really empowered to act; it’s also that we hire for fit and bring in folks only if we’re confident in their integrity, capability, and drive.
No one will watch over your shoulder, and you won't have to spend time watching over anyone else's either. We’re a talented team of doers. There’s little bureaucracy, and we hate blocking. Our leaders spend their time making sure you can get things done in the way that best suits your preferences and the strategic goals.
Autonomy, creativity, thoughtfulness, trust: if you care about those things, you'll be happy here. And more importantly, we'd be honored to hire you.
Please ensure you meet geographic and skills requirements before applying.