Machine Learning Solutions Benchmark Engineer
Groq is a machine learning systems company creating an open platform for accelerating machine learning that leads the industry in performance, power, and ease of use. Grog is seeking Machine Learning Engineers to join our benchmarking team in Menlo Park, CA and Portland, OR. We are building tools to help our partners leverage Groq hardware to its greatest potential. We need you to help with this effort.
You will integrate your experience and capability with a team of world class engineers. Use your experience developing, training, and deploying deep learning models with TensorFlow to support our partners developing models that execute at the leading edge of performance on Groq hardware. Develop tools in Python that help field sales engineers and customers evaluate model performance and optimize model design. Analyze performance open source models executed on Groq hardware against models executed on competitive hardware. Develop functionality into our compiler in Haskell that enables models to seamlessly transition to our platform.
Minimum Qualifications:
- Bachelor’s degree in computer science or mathematics with 3+ years industry experience
- Experience with TensorFlow or other machine learning frameworks
- Understand tradeoffs between various deep learning architectures performance
- Excellent coding abilities (Python, shell, etc.)
- Experience using cloud VMs (Linux), version control (Git), CI
- Self-driven and able to execute to tight deadlines
Preferred Qualifications:
- MS or PhD in computer science
- Experience developing machine learning models
- Experience with Haskell or other functional programming languages
- Strong mathematics background
- Experience with testing and performance analysis
Expected Start-date: ASAP
Location: Menlo Park, CA or Portland, OR
by via developer jobs - Stack Overflow
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