Working at SambaNova Systems
This role presents a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization’s business and operations, including innovating from strategic product pathfinding to large-scale production. We are excited to have talents on board, pushing towards democratizing the modern Computer Vision and Multimodal capability in real-world use cases.
Responsibilities
- Work closely with the product team and our customers to translate product requirements into requisite Computer Vision capabilities.
- Collaborate with product management and executive teams to develop a roadmap for foundation vision models and multimodal solutions.
- Work closely with the SambaNova NLP team to expand LLM capabilities to take advantage of image and video modalities.
- Develop applications on top of Vision models to serve as customer references, including but not limited to zero-shot classification, similarity search, etc.
- Work closely with the SambaNova Compiler team to co-design ML models that take advantage of SambaNova’s unique data flow hardware accelerator
Basic Qualifications
- Bachelor's or Master's degree in engineering or science fields
- 5-10 years of hands-on engineering experience in machine learning. Including the management of ML experimentation and production deployment of ML solutions.
Additional Required Qualifications
- Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano
- A deep theoretical or empirical understanding of deep learning
- Experience building and deploying machine learning models
- Strong analytical and debugging skills
- Experience in leading small teams.
- Experience acting as the point of contact for product teams
- Experience in Python and/or C++.
Preferred Qualifications
- Experience working in a high-growth startup
- A team player who demonstrates humility
- Action-oriented with a focus on speed & results
- Ability to thrive in a no-boundaries culture & make an impact on innovation