Didi Chuxing is the world’s leading mobile transportation platform. The company offers a full range of mobile tech-based mobility options for nearly 400 million users across more than 400 Chinese cities, including taxi hailing, private car hailing, Hitch (social ride-sharing), DiDi Chauffeur, DiDi Bus, DiDi Minibus, DiDi Test Drive, DiDi Car Rental and DiDi Enterprise Solutions. As many as 20 million rides were completed on DiDi’s platform on a daily basis in October 2016, making DiDi the world’s second largest online transaction platform next only to Taobao. DiDi acquired Uber China in August 2016.

As a practitioner in the sharing economy initiative, DiDi is committed to working with communities and partners to solve China’s transportation, environmental and employment challenges using big data-driven deep-learning algorithms that optimize resource allocation. By continuously improving the user experience and creating social value, we strive to build an open, efficient, collaborative, and sustainable transportation ecosystem. In 2016, Didi was included in Fortune’s Change the World list, and named one of the World’s 50 Smartest Companies by MIT Technology Review. DiDi is a Davos Global Growth Company.

Sr./Staff Algorithm Engineer - Beijing, China

DiDi Big Data is looking for Sr./Staff Engineers with solid machine learning background, as well as the passion for changing the world and making transportation more pleasant. You will have the opportunity to work with world-class engineers and scientists, and design and develop core machine learning algorithms using DiDi’s enormous data.

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Data Scientist - Beijing, China

DiDi Big Data is looking for experienced Data Scientists with solid machine learning background, as well as the passion for changing the world and making transportation more pleasant. You will have the opportunity to work with world-class engineers and scientists, and develop and implement core machine learning algorithms using DiDi’s enormous data.

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Amazon strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. The world’s brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers, sellers and developers.

Current job openings:

Applied Scientist

Data Scientist

Applied Scientist Intern

More information at: https://www.amazon.jobs/kdd

At Microsoft, we aim to empower every person and every organization on the planet to achieve more. We care deeply about having a global perspective and making a difference in lives and organizations in all corners of the planet. This involves playing a small part in the most fundamental of human activities: Creating tools that enable each of us along our journey to become something more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and we aim to enable our customers to thrive in this world.

More information can be found at:

http://aka.ms/aejobsite

Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization. Our research and production implementations leverage many of the innovations being generated from Facebook’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.

SAS believes in the whole employee experience. Meaningful work. Empowerment to make a difference that changes people’s lives. Dynamic work environments that foster innovation. And an award-winning culture that makes it all possible. We believe great ideas can come from anywhere. Whether you’re a university recruit, or an experienced professional ready for the next big challenge, SAS brings perks, passion, and the potential to grow. No limits.

Current open positions include:

• Data Scientist - Speech-to-Text NLP
• Analytics Software Tester - Cognitive Computing
• Analytics Software Tester - Deep Learning
• Research Statistician - Machine Learning Sensor Data Analytics
• Research Statistician - Data Scientist

More information can be found at: https://careers-sas.icims.com/jobs

At Capital One, data is at the center of everything we do. When we launched as a startup, we disrupted the credit card industry by personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years and we are leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

More information at: www.capitalonecareers.com

Criteo Research is pioneering innovations in computational advertising. As the center of scientific excellence in the company, Criteo Research delivers both fundamental and applied scientific leadership through published research, product innovations and new technologies powering the company’s products. We are looking for outstanding machine learning research scientists whose skills span the entire spectrum of scientific research and are interested in revolutionizing the world of online and computational advertising.

Current positions include:

• Staff Research Scientist
• Research Scientist
• Intern Scientist

More information at: http://research.criteo.com/

Google’s mission is to organize the world‘s information and make it universally accessible and useful. Perhaps as remarkable as two Stanford research students having the ambition to found a company with such a lofty objective is the progress the company has made to that end. Ten years ago, Larry Page and Sergey Brin applied their research to an interesting problem and invented the world’s most popular search engine. The same spirit holds true at Google today. The mission of research at Google is to deliver cutting-edge innovation that improves Google products and enriches the lives of all who use them. We publish innovation through industry standards, and our researchers are often helping to define not just today’s products but also tomorrow’s.

More information at: https://www.google.com/about/careers/

Element AI solves impossible problems for global organizations by using next-generation AI.

We’re a world-class team of international talent perched at the intersection of advanced research, data analysis, programming and business development.
We believe in investing in our talent and minimizing roadblocks by encouraging people to take the lead, experiment, teach others and grow.

If you would like to chat at KDD or apply for an interview during the conference, click here https://elementai.com/careers/element-ai-kdd

Siemens : Keeping the world moving forward

We create technologies that take society further. How? Through electrification, digitalization and automation. We’re changing the cities you live in, the places you work, the energy that powers your home, and the way the products you love are manufactured.

We’re making a difference to the world we live in every day. We’ve reduced congestion in cities by using intelligent real-time traffic data; we’ve created software that communicates with turbines in the middle of the ocean; and we helped NASA develop the Curiosity rover.

Available positions:

Big Data Scientist, USA, Princeton, NJ

Research Data Scientist - Deep Learning, USA, Princeton, NJ

Research & Technology Manager Computer Vision and Deep Learning, USA, Princeton, NJ

For more information please see: http://bit.ly/2gMUPoZ

LinkedIn’s team of data scientists and researchers work with huge amounts of data, solve real problems for our members around the world, and publish at major conferences. They work to improve the relevance in our products, contribute to the open source community, and are actively pursuing research in a number of areas. Learn [in] below about the opportunities at LinkedIn.

Current open positions include:

• Staff Software Engineer – Data Mining/Data Analysis/Machine Learning https://www.linkedin.com/jobs/view/351001104/
• Sr Software Engineer – Data Mining/Data Analysis/Machine Learning https://www.linkedin.com/jobs/view/350998530/
• Engineering Leadership – https://www.linkedin.com/jobs/view/344660601/

More information can be found at: https://www.linkedin.com/company/linkedin/careers

Zillow is the leading real estate and rental marketplace dedicated to empowering consumers with data, inspiration and knowledge around the place they call home, and connecting them with the best local professionals who can help.

Zillow serves the full lifecycle of owning and living in a home: buying, selling, renting, financing, remodeling and more. It starts with Zillow’s living database of more than 110 million U.S. homes - including homes for sale, homes for rent and homes not currently on the market, as well as Zestimate home values, Rent Zestimates and other home-related information. Zillow operates the most popular suite of mobile real estate apps, with more than two dozen apps across all major platforms.

Zillow launched in 2006 and is headquartered in Seattle.

Current open positions include:

• Senior Data Scientist
• Senior Data Scientist,Computer Vision & Deep Learning
• Data Analyst, Pricing Analytics

More information at: www.zillow.com/jobs