Companies hiring AI/ML people (sorted by company name)

All registered AI/machine learning jobs, listed by the company names.
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Sort by: Date posted | Title | Company ▶ Filter by: Remote only | USA/Canada | Outside of USA

Cytora [ Website ]
Senior Data Scientist, Sydney, Australia
Cytora is building a new way for commercial insurers to quantify and price risk, underpinned by liquid access to data and machine intelligence. Using the Cytora Risk Engine, insurers can move from a subjective, assumptions based understanding of risk to an empirical and data-driven view. At Cytora, you'll have access to a network of world-class business minds and academics from leading global institutions. We celebrate originality and independent thinking, and work in decentralised teams, giving people the authority to own and solve problems creatively. You'll be offered a competitive salary and share options, augmented by our private health insurance.
Dia&Co [ Website ]
Machine Learning Engineer, New York or Los Angeles, New York, United States (Remote possible)
Dia&Co is the leading personalized styling service for women who wear sizes 14+. Our business meets a profound need, and we are on a mission to democratize fashion — not only by providing easy access to quality clothing, but also by building an inclusive community of women who use fashion to celebrate their bodies. We’re expanding our talented team and are looking for passionate, smart and multi-talented go-getters to join us.
Doximity [ Website ]
Machine Learning Engineer, San Francisco, California, United States (Remote possible)
We’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!
Dropbox [ Website ]
Machine Learning Engineer, Seattle, Washington, United States
Machine Learning Engineer, San Francisco, California, United States
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to unleash the world’s creative energy by designing a more enlightened way of working. Headquartered in San Francisco, CA, Dropbox has more than 12 offices around the world.
Elastic [ Website ]
Machine Learning - Java Engineer - US East Coast / Europe, London, United Kingdom (Remote possible)
At Elastic, we have a simple goal: to pursue the world's data problems with products that delight and inspire. We help people around the world do exceptional things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. Often, what you can do with our products is only limited by what you can dream up. We believe that diversity drives our vibe. We unite Elasticians across 30+ countries into one unified team, while the broader community spans across over 100 countries
Element AI [ Website ]
Research Scientist - Machine Learning, Montreal, Canada
Element AI is an artificial intelligence solutions provider that gives organizations unparalleled access to cutting-edge technology. Bringing together the best in entrepreneurship, technology and academic ecosystems, Element AI is building an AI-First World to elevate our collective wisdom.
Enlitic [ Website ]
Deep Learning Engineer, Toronto, Canada
Enlitic is a medical deep learning company. We leverage the collective knowledge of the medical community to derive insights from billions of clinical cases to enable more accurate diagnoses, faster. Our unique algorithms bring together medical images, text and other data sources to operationalize data assets. Our medical insights drive efficiencies in clinical operations and insurance billing, accelerate pharmaceutical research and drug trials, and increase diagnostic accuracy and speed to improve patient outcomes.
Ensemble Energy [ Website ]
Data Scientist, Palo Alto, California, United States
Ensemble Energy combines energy industry domain knowledge with leading edge machine learning technologies to provide a SCADA data analysis platform. The platform provides energy plant operators with actionable insights into the condition of their assets. Features include failure detection and prediction, anomaly detection, and energy production forecasting.
Esri [ Website ]
Data Scientist, Redlands, California, United States
Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.
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