Machine Learning Engineer, SambaNova Systems

• 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 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