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We are building a team of hands-on technologists who dislike overspecialization and seek to excel in both depth and breadth.
In this position the successful candidate will have a chance to work on state-of-the art machine learning problems, collaborate with the academic and open-source communities, and participate in building the first direct bridge between the worlds of ML and silicon.
Job Responsibilities
- Develop state-of-the-art quantization methods.
- Fine-tune and validate machine learning models.
- Write CUDA kernels for new operators and quantization methods.
- Build deep connections with academia and the open-source ML community.
- Participate in the architecture of next generation Taalas chips.
- Bachelor’s or higher degree in Computer Science, or Electrical/Computer engineering
- 2+ years of experience in ML
- Strong knowledge of C/C++, Python and Pytorch
- Familiarity with computer architecture
- Good knowledge of linear algebra, calculus, probability
Key Skills
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