Data Mining Engineer (Global Recruitment)
【Requirements】
1. Have a strong interest in technology research and application, so sensitive to data, like and are good at discovering law from data.
2. At least one or more fields of Theoretical background and practical experience with the following: machine learning/data mining/deep learning/information retrieval/natural language processing.
3.At least proficient in one programming language. Familiar with multithreading, distributed programming technology. Profound understanding in data structure and algorithm design.
4.Strong communication skills, logical and expression ability. Good team work spirit and initiative communication consciousness.
Preferred qualifications:
1.Familiar with text classification, clustering and machine translation.
2.Familiar with mass data processing, optimization algorithms, distributed computing, or high performance parallel computing.
Recommendation Scientist /Algorithm Engineer (Global Recruitment)
【Requirements】
1. Master or Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, or equivalent;
2. Research experience on recommender system;
3. Solid knowledge in machine learning and data mining;
4. Programming experience in Python/Java/C++;
5. Knowledge of Hadoop, MapReduce, Pig, Hive, Hbase, Spark;
6. Knowledge of NLP is a plus;
7. Knowledge of Deep Learning is a plus.
Search Engineer/Algorithm Engineer (Global Recruitment)
【Requirements】
1. Master or Ph.D. in Computer Science or a related major
2. Research experience in Machine learning, Information retrieval, or Data mining
3. Research experience in search relevance ranking with xgboost, vowparl wabbit or other related algorithms
4. Strong experience in C++/Java and Object-Oriented programming (OOP)
5. Familiar with at least one of scripting languages such as Python/R/Shell
6. Solid knowledge of Big Data concepts (Hadoop, Pig, Hive, etc.)
7. Knowledge of NLP is a plus
Knowledge of Deep Learning is a plus
NLP Scientist/Engineer (Global Recruitment)
【Requirements】
1. Master or Ph.D. in Computer Science
2. Strong background and practical experience in one or more of the following areas: machine learning/data mining/natural language processing/information retrieval.
3. Research experience in Entity Recognition, Sequence Labeling, familiar with at least one of the following algorthms such as DNN/RNN/CRF/HMM....
4. Research experience in Query Understanding
5. Familiar with at least one of scripting languages such as Python/R/Shell
Solid knowledge of Big Data concepts (Hadoop, Pig, Hive, etc.)
Computer Vision Algorithm Engineer (Global Recruitment)
【Requirements】
Ph.D./Master students in Computer Science, Electrical Engineering, or related discipline required.
Strong background in Deep Learning.
Min of 1 years of Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred.
Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype.
Strong theoretical and practical background in computer vision, image and video analysis, specifically object detection, tracking and recognition, statistical modeling, statistical pattern recognition, machine learning, sparse methods, applied mathematics, optimization.
Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in Scripting languages such as Python is a plus.
【Requirements】
MS/Ph.D. students in Computer Science (AI/ML specialization) or equivalent. Ph.D. degree is preferred
In depth knowledge of different aspects of deep learning including architectural design (CNN, RNN, LSTM, dropout, pooling, etc.) and optimization
Familiarity with DL library such as Caffe, TensorFlow, Theano, Torch, etc. with strong hands on experience in at least one (preferably two) of them
Proven programming skills in C/C++, Python or other related languages
Experience in development and implementation of state-of-the art DL algorithm for diverse applications is a plus
Experience working with GPUs and parallel programming (HPC and/or big-data platforms) is a plus
Experience in integrating machine learning with real-time computing including mobile apps is a plus
Experience in employing machine learning/deep learning in a commercial application is a plus
Ability to work as a team, motivation for international collaboration, strong communication skills, self-motivated, proactive, flexible and passionate about learning
Ability to work well in a fast-paced team environment focused on end results