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Machine Learning Engineer

Skills
Artificial IntelligenceData ScienceDebuggingDeep LearningMachine LearningNeural NetworksPattern Recognition
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • BS+ degree in engineering or science fields
  • 2-4 years of hands-on engineering experience in machine learning
  • Experience in Python and/or C++
  • Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano
  • Familiarity with working in a software engineering team, and using productivity tools such as Git and Docker
  • Experience debugging neural network behavior in a research environment
  • Demonstrating good experimental hygiene and analysis
  • Clear communication of work to subject matter experts and outside team members
  • Deep theoretical or empirical understanding of deep learning
  • Experience building and deploying machine learning models
  • Strong analytical and debugging skills

Nice to have

  • Experience in high-growth startup
  • Team player demonstrating humility
  • Action-oriented focus on speed & results
  • Ability to thrive in a no-boundaries culture

Day to day

  • Enabling large language and multi-modal models on SambaNova hardware
  • Staying in touch with state of the art research and providing feedback on technical decisions within the team
  • Maintaining quality software and working on a project end-to-end
  • Running deep learning experiments and productizing code for customer deployment

Hiring process

  • Submit an application form for each qualified position