Machine Learning Research Director

Company: Oben Bouwmachines
Location: Pasadena , California, United States
Type: Full-time
Posted: 08.OCT.2019


ObEN's mission is to enable everyone in the world to create their own Personal AI (PAI), intelligent 3D avatars that look, sound, and behave...


ObEN's mission is to enable everyone in the world to create their own Personal AI (PAI), intelligent 3D avatars that look, sound, and behave like the individual user. Secured and authenticated on the Project PAI blockchain, ObEN's technology creates more productive, more personalized digital interactions. ObEN is a K11, Tencent, Softbank Ventures Korea and HTC Vive X portfolio company, and we work with our strategic investors to expand PAI technology across multiple verticals including hospitality, retail, healthcare, and entertainment.

Working at ObEN means taking on extraordinary transformations every day, in an environment that celebrates and encourages innovation. You'll be working in small, agile teams (including world class researchers in areas of machine learning, NLP, computer vision, speech, and blockchain). We are blazing new trails in AI and blockchain technology, and we encourage and support publications to top conferences and journals. Learn more about working at ObEN in our blog post.

Your Responsibilities:

The Machine Learning Research Director will be responsible for supervising research scientists and engineers, providing feedback for projects using ML, including those in other teams, developing and shaping ML projects with respect to the company's needs, and managing the ML team.

You must have:
  • PhD in Computer Science, Statistics, Electrical Engineering, Applied Mathematics, or related field
  • 5+ years of industry and/or academic experience in a Machine Learning/Data related role after PhD graduation
  • Hands on experience with at least two of the following areas: Deep Learning, Generative Models, Transfer and Multi-Task Learning, Structured Prediction, Unsupervised Learning, Graphical Models, Convex Optimization, Active Learning Reinforcement Learning, Bayesian Nonparametric Methods and Semi-Supervised Learning
  • Strong experience in writing and deploying new algorithms and models
  • Strong publications in top ML conferences (NIPS, ICML, ICLR, KDD, etc.)
  • Strong background in project methodology (Waterfall, Agile, etc.)
  • Strong experience supervising research scientists
  • Application Requirements:
  • Detailed resume and/or LinkedIn profile
  • Links to any research / papers you have been an instrumental part of and are proud of
  • Name of instructor / advisor, if any along with link to their profile
  • Cover Letter identifying your five favorite apps on your phone
  • Interview process:

    STAGE 1: Phone InterviewSTAGE 2: In-person Interview at Idealab (we cover travel expenses for the day)STAGE 3: We require a sample project submission and a candidate proposal submission(To know more about what an ObEN candidate proposal is, click here)STAGE 4: Spend a day at our office and participate in all team activities.STAGE 5: Offer Letter


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