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Machine Learning and Data Analytic Software Engineer
Confirmed live in the last 24 hours
Locations
San Jose, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
C/C++/C#
Pytorch
Research
Tensorflow
Python
Requirements
  • Masters or PhD in computer science, computer engineering, applied mathematics or related field with a focus on machine learning or data analytic
  • Experience building, training, and optimizing neural networks
  • Hands-on expertise with one or more Deep Learning frameworks (Pytorch, Tensorflow, etc)
  • Experience with C++
  • Familiarity with modern software development tools for source code control, unit testing, automated build, test, and deployment
  • Experience with Python
  • Experience building, training, and optimizing machine learning algorithms
Responsibilities
  • Study, research, prototype, validate technologies and solutions using machine learning, deep learning to classify and analyze real time data to create user or system behaviors model
Nio

5,001-10,000 employees

Electric vehicles company
Company Overview
Nio's mission is to shape a joyful lifestyle by offering premium smart electric vehicles and being the best user enterprise. NIO is committed to a more environmentally friendly future in which improved smart electric car technologies, coupled with a better car ownership experience, will drive increased appreciation and adoption of smart electric cars, leading to a more sustainable future for the planet.
Benefits
  • Insurance, Health & Wellness
  • 401k
  • Maternity & Paternity Leave
  • Work From Home
  • Reduced or Flexible Hours
  • Paid Vacation, Sick Days, Holidays, and Bereavement Leave
  • Employee Assistance Program
  • Discounted Gym Membership
  • Professional Development Opportunities
Company Values
  • Vision - Look beyond the past experience to explore innovative ways with no fear of failure.
  • Action - Take initiative by doing more to achieve company objectives.
  • Care - Be supportive of your co-workers to successfully get the work done on time.
  • Honesty - Keep your word and follow through on commitments made to others.