machine-learning engineer
Is this AI? See if you can spot the technology in your everyday life.
Artificial intelligence is suddenly everywhere. Fueled by huge technological advances in recent years and gobs of venture capitalist money, AI has become one of the hottest corporate buzzwords. Roughly 1 in 7 public companies mentioned "artificial intelligence" in their annual filings last year, according to a Washington Post analysis. But the term is fuzzy. "AI is purposefully ill-defined from a marketing perspective," said Alex Hanna, director of research at Distributed AI Research Institute.
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Staff Machine Learning Engineer, Display Lab
Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Samsung Display America Lab is looking for a machine-learning engineer who will have the opportunity to work with cutting-edge technologies for future generations of display systems and devices.
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Machine-learning specialists can earn a median salary of $150,000. Here's how to make a career pivot without spending years in academia.
Machine-learning specialists are highly sought after right now. Recruiters and experts told Insider they were facing an acute shortage of machine-learning skills as the demand for specialists in artificial intelligence moved beyond tech and into sectors such as healthcare and finance. Machine learning is a commonly used form of artificial intelligence that involves the use of self-learning programs and algorithms. It underpins a lot of services, from the movies Netflix recommends to fraud detection for banks. The technology allows computers to process and draw patterns from huge amounts of data, which makes it useful in a variety of fields.
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