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

All registered AI/machine learning jobs, listed by the company names.

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Adarga Adarga [ Website ]
Natural Language Processing Data Scientist, London, United Kingdom
Actionable Intelligence Adarga builds powerful analytical software, automating time-intensive tasks for our customers, learning by reading and understanding data at speeds humans are unable to achieve. Adarga connects your objectives to real world insights and transforms the value customers can uncover in their data. Adarga leverages the latest advances in machine learning and scalable engineering within a flexible plug-and-play microservices architecture. Our technology enables organisations to adopt advanced end-to-end AI analytics, simply, securely and at scale, without large upfront investment. Adarga focusses on sector-specific verticals to deliver sector-leading performance. Our first sector is Defence and Intelligence, other sectors will be announced shortly.
Apple Apple [ Website ]
Siri, Machine Learning Engineer, Cupertino, California, United States
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. Every new product we invent, service we create, or store we open is the result of people working together to make each other’s ideas stronger. That happens here because every one of us strives toward a common goal — creating the best customer experiences. So bring your passion, courage, and original thinking and get ready to share it. This is where your work can make a difference in people’s lives. Including your own. Discover even more benefits of doing what you love. Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount – both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education, and give you special employee pricing on Apple products.
Blue Apron Blue Apron [ Website ]
Machine Learning Engineer, New York, New York, United States
Blue Apron was founded in 2012 premised on a simple desire—our founders wanted to cook at home with their families, but they found grocery shopping and menu planning burdensome, time-consuming, and expensive. Our founders hand-packed the first Blue Apron boxes themselves, delivered them to family and friends, and received immediate positive feedback. Since those initial deliveries, we have scaled rapidly, developing our expertise and an ever-more ambitious vision. We are reimagining the way that food is produced, distributed, and consumed, and as a result, building a better food system that benefits consumers, food producers, and the planet. The nature of our business carries with it unique and exciting challenges, and our employees working across our fives offices, take on these complexities to ensure each customer receives the highest quality product every week. Our core product is the cooking experience we help our customers create. Central to these experiences are the original recipes we design and send along with fresh, seasonal ingredients directly to our customers. We also sell wine, which can be paired with our meals, and kitchen tools and staples we use in our test kitchens where we create new recipes. Our customers often cook with us multiple times each week, and they trust us to craft delicious recipes to feed their families and loved ones. We’re thrilled to be welcomed into our customers'​ homes and part of their weekly cooking routine!
Chattermill Chattermill [ Website ]
Machine Learning Engineer, London, United Kingdom
In three years Chattermill has grown from a team of 2 Co-Founders to a team of 20 in London and more around Europe. In that time we have developed a cutting-edge product that allows some of the most exciting companies in the world (Uber; HelloFresh, Spotify, HSBC, Transferwise, Skyscanner + more) to finally understand their Customers and improve their customer experience through deploying our AI-powered solution.
Compass Compass [ Website ]
Machine Learning Engineer, NYC, New York, United States
Compass is building the first modern end-to-end real estate platform by integrating agents, buyers and sellers through technology. Until Compass, no one has achieved the blend of the Natural Intelligence that hundreds of thousands of enterprising real estate agents bring to this market, with the “Artificial Intelligence” that cloud, mobile and AI technologies enable. We are building AI to empower AI - Artificial Intelligence to empower Agent Intelligence. As one of the fastest growing technology companies of our generation, in an industry larger than any other, we have an opportunity and obligation to build a world-class engineering team and the operating platform that will transform real estate. In 2019 we will triple the size of our engineering team and are searching for creative and inspiring colleagues at all levels of the engineering organization. At Compass, our mission is to help everyone find their place in the world. This means we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place. Our entrepreneurship principles bind us together and inform how we tackle the tremendous challenges ahead.
Cruise Cruise [ Website ]
Machine Learning Inference Engineer, San Francisco, California, United States
We’re Cruise, the self-driving ride-hailing service. We are building the world’s most advanced, all-electric, self-driving cars to safely connect people to the places, things, and experiences they care about. We believe self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for many. At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed. If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us.
Dropbox [ Website ]
Machine Learning Engineer, Seattle, Washington, 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.
Formant [ Website ]
Software Engineer - Machine Learning Infrastructure, San Francisco, California, United States
Founded by a team of former Google, Savioke, and Redwood Robotics software engineers, roboticists, and product managers—Formant believes that more efficient cloud infrastructure can help unlock the shared potential of humans and robots.
Ideal Ideal [ Website ]
Machine Learning Engineer, Toronto, Canada
Talent Intelligence Powered By A.I. Ideal is an intelligent system that complements your existing HR software to help you make the best data-backed talent decisions. Ideal empowers talent acquisition teams to make data-backed, high-volume hiring decisions using artificial intelligence. Our goal is to maximize your quality of hire and improve recruiter efficiency. Using Ideal, employers can: - shortlist candidates past and present - improve quality of hire - slash turnover - reduce bias - decrease time to fill - make time for high-value work
integrate.ai integrate.ai [ Website ]
Machine Learning Scientist, Toronto, Canada
At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. Our AI-powered platform helps B2C enterprises become customer-centric, identifying what customers value in businesses and applying AI to guide customers to valuable experiences. We care about privacy and ethics, and are working to make Responsible AI a reality across consumer enterprise. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.
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