Senior Applied Scientist, AWS Shanghai AI Lab - Amazon Information Service (Beijing) Co., Ltd. (Shanghai Branch)

描述

The AWS Shanghai AI Lab is looking for a passionate, talented, and inventive staff in all AI domains with a strong machine learning background as a Senior Applied Scientist.

Founded in 2018, the Shanghai Lab has been an innovation center of for long-term research projects across domains as machine learning, computer vision, natural language processing, and open-source AI system.

As part of the lablet, you will take a leadership role and join a vibrant team with a diverse set of expertise in both machine learning and applicational domains.

You will work on state-of-the-art solutions on fundamental research problems with other world-class scientists and engineers in AWS around the globe and across the boarders.

You will build models to tame large amount of data, achieve industry-level scalability and efficiency, and along the way rapidly grow and build the team.

• 5+ years of experience after PhD in Electrical Engineering, Computer Science, or related disciplines. Strong expertise in machine learning.
• World-class track record in one of the sub-application domains of machine learning (e.g. NLP, CV, speech, graph machine learning, etc); publication record in top ML conferences/journals such as NeurIPS, ICML, ICLR, etc.
• Experience in building full-stack machine learning solutions from scratch, including training, debugging and performance optimization.
• Proficient in Python. Experiences with AI/ML frameworks and open-source projects (e.g., PyTorch, TensorFlow) are preferred.
• Good English written and spoken communication skills.

• Familiar with recent advances in domains as computer vision, natural language processing, multi-modality.
• Critical and scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
• Sharp research taste. Experiences serving reviewers for top conferences/journals, AC/PC experiences are even better.
• Experience in engineering practice of scalable, efficient, and highly optimized AI/ML production projects.

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

• Experience with modeling tools such as R, scikitlearn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.