About the role
At Taalas we believe that fundamental progress is achieved by those who are willing to understand and assail a problem end-to-end, without regard for commonly accepted abstractions and boundaries.
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.
Qualifications
- 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
Interested in joining our team? Submit your resume to careers@taalas.com to be considered for the exciting opportunity!
About Taalas
About the role
At Taalas we believe that fundamental progress is achieved by those who are willing to understand and assail a problem end-to-end, without regard for commonly accepted abstractions and boundaries.
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.
Qualifications
- 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
Interested in joining our team? Submit your resume to careers@taalas.com to be considered for the exciting opportunity!