Senior Machine Learning Engineer
Sunnyvale, CA

Responsibilities:

• Develop new artificial neural network models for multiview geometry relating to autonomy and machine vision applications;
• Determine state-of-the-art, applicability to problem, and ways to extend the state-of-the-art to better solve the company’s problems;
• Design scalable software architecture and infrastructure for developing and training neural networks;
• Assist in understanding the hardware needs of the team and pricing and evaluating options to meet these needs;
• Collaborate with Imaging Systems team members to define and develop interfaces between ANN models and computational imaging codebase;
• Determine the appropriate points in processing flow to inject new artificial neural network models; build tools to extract training data for models at the appropriate points in flow;
• Collaborate on specification of data required for training and validating performance of artificial neural network models against current processing flow;
• Develop neural networks based ML systems - Python, Tensorflow, Pytorch;
• Build data pipeline to extract training data - Python, Opencv, numpy, matplotlib;
• Define data requirements for building new NN based applications;
• Evaluate, re-train models in Tensorflow, Pytorch;
• May work remotely; periodic time in office required; must live within commuting distance of office.

Qualifications:

• Master’s degree in Computer Science or related field or foreign academic equivalent plus 5 years of experience.
• Required skills:
  • develop neural networks based ML systems - Python, Tensorflow, Pytorch (5 years of experience);
  • build data pipeline to extract training data - Python, Opencv, numpy, matplotlib (5 years of experience);
  • define data requirements for building new NN based applications (5 years of experience);
  • evaluate, re-train models in Tensorflow, Pytorch (5 years of experience);
  • may work remotely;periodic time in office required; must live within commuting distance of office.

Full time. $192,941 - $264,000/year. Please email your resume to [email protected] Please reference 052890 in the subject line.

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