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Machine Learning Engineer
Skills
Artificial IntelligenceData ScienceDebuggingDeep LearningMachine LearningNeural NetworksPattern Recognition
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
