PhD/Senior Machine Learning Engineer, SambaNova Systems

• PhD 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 SW 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 communicating your work to subject matter experts, as well as communicating to members outside of the team
• A deep theoretical or empirical understanding of deep learning
• Experience building and deploying machine learning models
• Strong analytical and debugging skills

Desirable

• The ML team is responsible for driving innovation in models and algorithms that run on the SambaNova platform
• This scope encompasses cutting edge applied research as well as productizing, deploying, and designing deep learning applications
• 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. You will be expected to run deep learning experiments as well as productize your code for customer deployment