Machine Learning Engineer

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!