How to be a algorithm engineer?

Looking at the requirements of recruiting algorithm engineer, you can probably know something:

Huawei: Wireless RTT (Wireless Transmission Technology) algorithm engineer

Main job responsibilities

1. According to the requirements of various wireless products (including WCDMA (including HSPA)/CDMA2000/Wimax/GSM(EDGE)), the baseband algorithm and its performance are analyzed and designed.

2. Participate in wireless product system testing, field testing, positioning and analyzing problems.

3. Technical proposal of physical layer participating in the evolution of LTE(S3G)/AIE/E-HSPA/GERAN standard.

4. Cooperate with RRM algorithm personnel and network planners of various wireless products to complete cross-domain algorithm analysis and system performance analysis.

Requirements: (1) communication knowledge.

1. Master degree or above, major in communication, signal processing or related (excellent algorithm analysis or rich experience can be extended to undergraduate course).

2. Master signal processing technology, stochastic system theory, signal detection theory, communication principle and other technologies.

3. Familiar with the principle of wireless communication system, especially cellular wireless communication system.

4. Understand the basic knowledge of radio resource management, such as handover and power control.

5. Understand the technology of wireless network planning, especially the knowledge related to capacity and coverage.

(2) Personal qualities

1. has a strong interest and thirst for knowledge in algorithm research, and intends to develop here for a long time.

2. Have a good understanding ability, a spirit of Excellence in work, and a strong sense of responsibility.

3. Have a good sense of teamwork and cooperation spirit.

(3) Other requirements and explanations.

1. Working experience and successful experience in relevant core departments of domestic and foreign companies are preferred.

A search website: Job Title: Advanced Search algorithm engineer

Job description: 1. Develop search-related algorithms and ranking algorithms for company search business.

2. Design a data mining algorithm for the company's massive user behavior data and user intentions.

3. Develop related recommendation and personalized search technology. Company Profile: The company was established in 2003, with registered members of 65.438+0.7 billion; In 2009, the transaction volume reached 208.3 billion yuan, making it the largest online retail business circle in Asia. Websites occupy more than 80% market share of domestic e-commerce. As a one-stop shopping search engine, the company's sub-platform has become a leading force in this field since its launch, and it will eventually provide consumers with full-process shopping services from commodity search, shopping price comparison and online payment. The company adopts industry-leading search technology to collect all online products of the most popular C2C, B2C and group buying websites, and at the same time, it will capture all kinds of shopping guide information to provide users with a convenient one-stop shopping experience; Go shopping. The company has accumulated thousands of servers 24x7, and calculated a huge amount of user shopping behavior and product sales data to provide consumers with personalized product recommendations with sustainable experience. Innovative mobile phone applications allow shopping anytime, anywhere. Welcome friends who are interested in online shopping experience, search technology, massive data parallel processing, distributed storage and computing, large-scale cluster communication, natural language processing, machine learning, product recommendation algorithm, Android/iOS mobile application development, etc. Job responsibilities: 1, more than 3 years relevant working experience. 2. Proficient in C/C++ or java language. 3. Understand the development environment under Unix/Linux environment, and skillfully apply one of Perl, Unix Shell and other languages; 4, familiar with information retrieval theory, understand the commonly used data mining technology. 5. In-depth understanding of machine learning theory and natural language processing technology is preferred.