Senior Applied Scientist, AWS Shanghai AI Lab

2 weeks ago

Shanghai, Shanghai, China Amazon Information Service (Beijing) Co., Ltd. (Shanghai Branch) Full time


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.

Meanwhile, these incubated projects power products across various AWS services.


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 have the responsibility to design and innovate solutions to our customers.

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.


BASIC QUALIFICATIONS

  • 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.

PREFERRED QUALIFICATIONS

  • 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.
We are open to hiring candidates to work out of one of the following locations:

Shanghai, CHN


BASIC QUALIFICATIONS

  • 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

PREFERRED QUALIFICATIONS

  • 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.

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