Machine Learning Specialist

Fynd Talent has recently partnered with a leading Autonomous Driving Start Up, currently in process of building up their Machine Learning Team after announcing a large partnership. 

Responsibilities:
  • Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning and forecasting
  • Guide the development of these algorithms from prototype to production - including training on large scale datasets, and deploying on a real time robotic platform
  • Identify new areas (both online and offline) where machine learning can leverage data to enhance performance
  • Design, build and maintain large scale production machine learning pipelines

Requirements:
  • BS, MS or PhD in Robotics, Machine Learning, Computer Science, or a related field
  • Strong grasp of fundamentals: linear algebra, discrete and continuous optimization, supervised and unsupervised methods, generative and discriminative methods
  • Expertise in one or more focus areas: deep learning, online learning, sequential prediction, graphical models, structured prediction, sequential models, reinforcement learning, imitation learning, planning under uncertainty, bayesian inference, model compression, multi-task learning, forecasting etc.
  • Proven track record of experience in relevant areas (significant industry experience and/or publication record at top venues like ICML, AISTATS, NIPS or similar)
  • Excellent software skills (C++/Python) required to train and evaluate state of the art algorithms on large datasets

Desired:
  • Experience with Tensorflow, Caffe and porting models to embedded platforms
  • Experience applying machine learning to problems in robotics

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