1. Responsible for model optimization and acceleration of deep learning related directions;

2. Responsible for the optimization of the computing performance of each business algorithm model and promote its online application;

3. Responsible for exploration of deep learning computing platforms.

Requirements

1. Master's degree or above in computer, electronic information and related majors;

2. Familiar with mainstream deep learning frameworks, including MXnet \ Pytorch \ Tensorflow \ Caffe, etc., and master the use of TensorRT;

3. Deep accumulation in deep learning, familiar with classic CNN \ DNN network structure and algorithm practical experience;

4. Familiar with CNN \ DNN optimization and acceleration methods, including pruning, sparseness, quantization, fast implementation of algorithms, etc., and have practical experience;

5. Proficient in the development of CUDA, with the algorithm implementation and optimization capabilities of NVIDIA GPU platform;

6. Familiar with deep learning multi-machine multi-card distributed computing and relevant development experience;

7. Good problem analysis and problem solving skills, as well as teamwork skills.

1. Responsible for the implementation of the IoT IoT cloud platform, including application scenario design of products and solutions, overall technical architecture design, component and service design, implementation implementation and continuous evolution of products;

2.In-depth understanding of business architecture and requirements, identifying system risks, designing stability and disaster tolerance solutions, and being responsible for availability;

3. Introduce innovative technologies and solutions for the team, use innovative ideas to solve problems, be able to think macro of existing or future systems, and plan to form a unified framework, platform, or component;

4. Leader of key technology tackling projects, good communication and problem solving skills.

job requirements:

1. Full-time undergraduate degree or above, computer software or related major, more than 5 years java architect experience is preferred;

2. Have a deep understanding of business architecture and application architecture, and can independently complete system architecture design, business modeling in key areas, technical judgment of complex systems and integration capabilities of platform technology;

3. Proficient in the principles of IoT technology, with relevant experience in communication and protocols, and industry-oriented IoT solution design and implementation related experience is preferred;

4. Pay close attention to the latest product and technology developments in the industry, have a strong interest in technology, have good learning ability, communication skills, and teamwork ability.

5. Experience in R & D and design of IoT platform / IM platform / microservices architecture is preferred;

6, with strong business analysis capabilities, abstract architecture design capabilities, innovative thinking, can quickly locate business problems and develop effective solutions experience.

You can send your resume to email: hr@domeaiot.com

This position is in machine learning and artificial intelligence. Key responsibilities include, but are not limited to:

    Responsible for the theoretical research and algorithm and model development of machine learning (especially in the field of deep learning), including but not limited to: neural network model design, meta-learning, automatic hyperparameter optimization, online learning and various optimization methods. The distributed version of the model is developed to achieve acceleration, enrich the public parallel algorithm library within the company, explore and study cutting-edge problems such as machine learning, especially deep learning, meta-learning, and provide comprehensive technical solutions based on future actual application scenarios. Provide model support for computer vision, speech recognition, natural language processing, etc., carry out innovative research and landing product development.

job requirements:

1.Computer, applied mathematics, statistics, pattern recognition, artificial intelligence, automation control, operations research, biology, physics / quantum computing, neuroscience, etc., master's degree or above;

2. Proficient in at least one programming language such as C / C ++, Java, Python, etc., have strong hands-on ability. Understand one or more of the current common machine learning or deep learning frameworks: Tensorflow, Pytorch, Caffe, Spark, XGBoost, etc .; 3. Have relevant open source project contribution experience, or have a winning experience in a programming or modeling contest or Familiar with common machine learning model algorithms, such as LR, GBDT, FM, Random Forest, etc .; familiar with deep learning common model algorithms, such as CNN / DNN / RNN / LSTM, etc., have complete business online DL modeling and tuning experience or field Publishing experience of top conference papers (NIPS / ICML / CVPR / KDD, etc.);

4. Familiar with common distributed programming languages and computer architectures; familiar with parallel computing / high-performance computing frameworks such as MPI / OpenMP / CUDA, and better understanding of large-scale machine learning related technologies, such as BSP / SSP / A-SGD or Data / Common machine learning optimization algorithms or mechanisms such as Model Parallelism. Have data modeling business experience or publishing experience in top conference papers (SOSP / OSDI / NSDI / EuroSys, etc.).

5. Have good logical thinking ability and data sensitivity, can read and write English papers proficiently, and have excellent scientific and technological research capabilities;