Lead Machine Learning Engineer | Amperity

AI Startup

San Francisco, CAOn-siteFull-time$140k – $220k / year

About this role

Careers | Amperity Careers at Amperity At Amperity, we are proudly customer-obsessed. Working here means getting deep in the data and seeing through the eyes of our customers to help them transform their businesses. We're building something that's unique in the market, and every day is a chance to collaborate with super-smart people to solve complex challenges. View open positions We innovate through our values Trust We’re building a company together, and trust is the foundation of our success. We say what we’re going to do and we do it with authenticity, integrity, and respect. Customer Success We’re relentless in our focus on helping our customers thrive. Our customers know they can count on us to evaluate every action through the lens of what will drive their success. Innovation Innovation is in our DNA. We’re driven by curiosity and constantly seeking ways, from small everyday actions to big solutions, to make things better for our customers and across every aspect of the business. Grit We’re here to win. And we know that it’s not based on luck or talent alone. We set our sights on a goal and we persevere and stay focused no matter what comes our way. If we fall down, we get back up. If we make a mistake, we own it and make it right. And when we win, we celebrate. Ownership & Accountability We are owners of this company and we think and act with a long-term mindset and don’t let anything get in the way of delivering great outcomes. If we encounter a problem, we don’t wait—we take action and we rally the right people to solve it. We ALL deliver results that drive value. Diversity Diversity—of people and perspectives—fuels better decisions, deeper empathy, and bolder innovation. We bring our authentic selves to work each day and we work in ways that honor inclusion, respect, collaboration and connection. Hard problems are way more exciting Amperity only exists because we chose to solve a problem that hadn’t b

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