In the first half of this year, JD.COM Group invested 7.54 billion yuan in technology research and development, with more than 6.5438+0.8 million technology research and development personnel, accounting for more than 80% of the talents with master's degree or above. In terms of technical input and strength, JD.COM is in the first camp of domestic Internet enterprises.
At present, there are more than 500 doctors in JD.COM. They have extraordinary insights or achievements in various technical fields, which makes the "blade" of technical force more warm and responsible in JD.COM's diversified business forms.
Enter the mainstream and step onto the big stage.
"Enter the mainstream and go to the big stage." Tao Xin said that this is a common saying in Tsinghua University.
Tao Xin studied and lived in Tsinghua for 8 years. With the deepening of scientific research, his understanding of this sentence is becoming more and more mature: companies with industry heads and companies with operating scenes are the big stage; It is the mainstream that can generate positive energy for the society and help the industry to do better on the road of innovation.
Tao Xin graduated from the Department of Automotive Engineering of Tsinghua University more than two years ago. He looks simple, but he doesn't know that the project he studied during his master's and doctor's degree is very cutting-edge: the study of driving safety assistance system.
During my internship, I learned knowledge about driving safety of smart cars from well-known automobile brands such as BMW, FAW and General Motors, and accumulated a lot of industry experience. In the second half of 20 17, by chance, he joined JD.COM as a doctor Guan Peisheng, and set up a post in Jingdong Logistics X Division (now X Research Department) to support the data algorithm of car networking and make technical reserves for the trajectory and decision-making of unmanned vehicles. There are logistics scenes that deeply attract him.
From 2065438+April 2009, Tao Xin began to have close contact with Dabai. Who is Dabai?
"Dabai" is an unmanned delivery vehicle that has made great contributions in the epidemic, with the number JD40006. It was permanently collected by the National Museum last month and became a "new national treasure of science and technology". Man and technology complement each other and harmoniously unify in an extraordinary period, becoming historical material evidence.
During the 107 days, "Dabai" was like a real courier, always sticking to his post, with a total round-trip mileage of over 6,800 kilometers and about13,000 packages.
Looking back six months ago, on the first day of New Year's Day, Jingdong Logistics set up an intelligent technology emergency team, and Tao Xin was a member of this team. He admits that when he received this task, he knew that time was tight and the task was heavy, and this was also a few days before Dabai left Beijing for production. Tao Xin and the team stayed up all night before development, online and testing. Finally, relying on L4 autopilot technology and Beidou satellite positioning system, the unmanned delivery vehicle took about ten days to put into use on the streets of Wuhan.
This makes Tao Xin feel extremely gratified. He never thought that technology could be so "responsible" and "temperature".
"Up to now, JD.COM has developed into a team with ability, strength, long-term planning and investment, and strong fighting capacity. Focusing on my field has played a very positive role in promoting domestic autonomous driving. If I want to give advice to doctoral students who are looking for a job, I want to say that I want to find a company that can have a landing scene, can continue to invest and is in line with business logic to contribute my strength. If this is what you are interested in, then come on. "
As for the need for technology to be applied to the scene, Liu Yang said frankly that he had thought so since his initial research.
After completing his Ph.D. at Michigan Tech University, Liu Yang did two years of postdoctoral research at Carnegie Mellon University and Duke University. His research direction is data mining in industrial manufacturing.
In 20 18, under the recommendation of Guan Peisheng, a former classmate and the first doctoral student, Liu Yang joined Jingdong Logistics, which is exactly the "super brain" of Jingdong Logistics. Every time there is a national carnival, such as 6 18, 1 1, Liu Yang's departments should calmly command the billion-dollar level.
"My job is to effectively use big data and technology to make Jingdong Logistics better serve businesses and individual consumers."
Take JD.COM 618 Global Mid-year Shopping Festival as an example. Behind the rapid processing of each order, Jingdong Logistics has accumulated a number of codes, modules, schemes and products. For consumers and businesses, what they can see is the speed and quality of Jingdong Logistics. Behind the scenes that they can't see, it is a strong guarantee from Jingdong Logistics R&D..
After consumers place an order, how to make the order flow in the system and handle it efficiently is the "super brain" of Jingdong Logistics R&D.. The order center handles orders as high as 1 100 million every day. In order to achieve the fastest delivery of orders and improve the customer experience, the order center, as the highest commander, reorganized the logistics supply chain resources and made intelligent improvements from four aspects: warehouse sourcing, intelligent production scheduling, production process and carrier billing, which effectively improved the terminal delivery rate.
Liu Yang team uses the algorithm to calculate the production capacity, and reasonably and orderly controls the production rhythm of each link, so as to achieve smooth production, maximize the utilization rate of production capacity, and greatly reduce the operating costs while improving the customer experience. Only during 6 18, nearly 100 million yuan can be saved through intelligent production scheduling!
The fertile ground for scientific research has always been there.
Bai Yalong, who has a bachelor's degree, a master's degree and a doctor's degree in computer science, admits that his dream when he was young was to be a pure technical coffee maker, do scientific research and write papers.
In the doctoral direction of cooperation between Harbin Institute of Technology and Microsoft Research Asia, he mainly studies image recognition in deep learning, as well as the learning related to image text and essays. When the doctor was about to graduate, he went to JD.COM on the recommendation of his teacher. Continuing the previous research direction, I mainly focus on image recognition and image-text association learning in jingdong cloud by AI Division, and the practical application is "photo purchase".
Yalong likes research and pure science, but when he arrived in JD.COM, he was surprised to find that JD.COM gave doctoral students a broad research platform, resources and freedom. In addition, JD.COM is also a platform with many landing scenes for domestic vision and deep learning, which can perfectly transform technology into products, then into income, and then into research and development. This is an ideal positive cycle.
During his two years in JD.COM, Yalong published four papers, won the first prize in international academic competitions three times, and tied for the second time. The whole team also contributed to the academic community. Now there are some useful commodity identification codes, which have been put on the internet for open source with the consent of the intellectual property department, bringing convenience to many people.
In the first half of this year, Tao Xin also promoted a meaningful and efficient scientific research cooperation, and cooperated with Tsinghua University Suqi Research Institute to build the "China Standard Self-driving Logistics Vehicle Scene Library and Testing and Evaluation System", combining the research being done in JD.COM with the advantages of universities to jointly build the China Self-driving Scene Library for the logistics industry. This is a long-term scientific cooperation, which will last for 3-5 years. It will focus on the technical accumulation of college scenes, algorithms and automatic driving simulation algorithms. Besides, JD. COM's large-scale autonomous driving test capability and the operator's ability to obtain scene data will go hand in hand with universities, and the two sides will exchange needed goods.
Rotation makes them technical experts with business vision.
Zhang Hainan was deeply impressed by his unique experiences such as exclusive tutor, rotation in technical field and in-depth project practice.
Zhang Hainan graduated from the Institute of Computing Technology, Chinese Academy of Sciences, and his research direction is dialogue-oriented deep text generation (artificial intelligence). She is a beautiful and capable female doctor. Now she works in JD.COM Retail Search and Recommendation Platform Department. During her one-year stay in JD.COM, she benefited a lot from her three-month rotation experience.
Technical feature rotation is the exclusive welfare of Dr. JD.COM Guan Peisheng, which is divided into core business lines and technology-related lines. During the 8- 10 week, the heads of every department in JD.COM, such as Big Data, Cloud, Smart Supply Chain, Search Recommendation, UAV/Unmanned Vehicle/Unmanned Warehouse, will personally stand on the platform and have face-to-face communication with doctoral students. On the one hand, they will help them master the core systems and working ideas of various R&D parties, business parties and products, on the other hand, they will gradually clarify their professional interests and positioning in their studies.
After three months' rotation, Zhang Hainan was amazed that he could understand such a huge technical system in JD.COM so quickly, and broadened his business vision and thinking, which was not completely limited to the technology itself. He deeply felt that the technology he had learned was promising.
Just last month, Hainan recommended her younger brother to join JD.COM as a new doctoral student.
In the second half of this year, Bai Yalong has settled in Yizhuang, and the new house will be delivered within a certain period of time. Like Yalong, Zhang Hainan will soon get a high interest-free loan through JD.COM. COM's housing plan is settled. Hai Nan said, we are almost 30 years old when we graduate from Ph.D., and there is not only pressure to start a career, but also pressure to settle down. In JD.COM, we all settled down and felt at ease. I hope more doctoral students can join us and let business and technology collide with each other.