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AINovation AI Team Recruitment

19-03-2019 09:30

We are recruiting for our “F1 - first generation” AI team: 
  • Positions: AI lead research scientists, AI lead engineers, and AI engineers. 
  • About us: AINovation is a young startup based in both US and HCMC, with a unique focus: using AI capabilities to innovate and augment customers’ business intelligence. 
  • Salary: very handsome pay (pleasant surprise guaranteed, right when you get our offer) with attractive compensation package!
  • Place: our R&D team is currently located at 1 Đặng Văn Sâm P.9 Phú Nhuận, HCMC (from second floor and up).
  • Procedure: Interested experts & talents please send email to MyHR@ainovation.com (also CC: AI@ainovation.com) with your CV and/or links to your LinkedIn, Google Scholar, GitHub/GitLab repo, FB/Twitter/Reddit, etc. for setting up interviews. 
  • Starting date: immediately.
  • JD (very informal): maintain SOTA knowledge in the field, invent new methods, engineer new algorithms, design and build industrial-scale AI systems and products to serve our customers including int’l & Vietnam billion-dollar revenue companies. If interested you can also contribute lectures to the nonprofit AI4VN educational platform intelligence.edu.vn and supervise young AI talents at the Center of talent in AI (CoTAI) that we are directing. 

    To serve our customers from diverse sectors, we are very keen on sharpening our expertise for important domains ranging from visual & language understanding, large-scale decision making & robotics/IoT, to high-level knowledge integration and use.

    To achieve these goals, we focus on 5 core AI technologies:
    1. Deep learning of representations for both perception and control, combining bottom-up neural networks approaches with top-down symbolic machines.
    2. Probabilistic programming and hierarchical Bayesian methods.
    3. Knowledge graph for the acquisition, extraction, representation, integration, retrieval and use of high-level abstract knowledge. 
    4. Reasoning & Planning at both geometric (e.g., robotic optimal control) and logic/relational levels, including causal inference.
    5. Optimization, including BayesianOpt, evolution strategies, and learning-to-optimize (meta-learning) in particular. 
    Contact:
    nttrung@hcmus.edu.vn (Mr. Trung)
    Bp. TLSV

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