Job Description
Our team has an immediate permanent opening for an Engineer.
Responsibilities:
Apply relevant AI infrastructure and software/hardware acceleration techniques to build & optimize our intelligent AI/ML systems that improve our products and experiences.
Apply your distributed system experience to build & optimize the AI/ML infrastructure for scalability, performance and reliability.
Set project technical goals and milestones, provide architecture and design of the AI system, and implement and benchmark the design.
Collaborate with multiple teams to deliver the project.
Apply in depth knowledge of how the AI/ML infrastructure interacts with the other systems around it.
Work with other engineers / research scientists & improve the quality of engineering work in the broader team.
The base salary for this position ranges from $110,000 to $210,000 depending on education, experience and demonstrated expertise
What you’ll bring to the team:
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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), and SW/HW co-design.
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Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.
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