Senior Full Stack Engineer – Blockchain News, Opinion, TV and Jobs

Intelletec
Senior Full Stack EngineerSan FranciscoIntelletec has partnered with a rapidly growing post-Series B startup. Their mission is to accelerate the development of AI applications. Their first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Some customers include Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more, and they’ve become an industry standard for the self-driving car market. Example Projects:

Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale. Properly route tasks from customers to labelers for low turnaround and high accuracy. Build methods to automatically measure and train labelers and optimally match labelers to tasks based on performance. Create optimized and efficient UI/UX tooling for Scalers to complete hundreds of complex tasks. Build robust machine learning models to automate requests and improve our labelers’ efficiency.

This role could be a fit if you have:

Systems engineering experience with real-time and distributed system architecture. Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services. Experience building systems that process large volumes of data. Experience with React, Node.js and/or MongoDB. At least a Bachelor’s degree (or equivalent) in a relevant field.

For more information, please contact [email protected]
Senior Full Stack Engineer

San Francisco

Intelletec has partnered with a rapidly growing post-Series B startup.

Their mission is to accelerate the development of AI applications. Their first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Some customers include Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more, and they’ve become an industry standard for the self-driving car market.
Example Projects:

    • Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.
    • Properly route tasks from customers to labelers for low turnaround and high accuracy.
    • Build methods to automatically measure and train labelers and optimally match labelers to tasks based on performance.
    • Create optimized and efficient UI/UX tooling for Scalers to complete hundreds of complex tasks.
    • Build robust machine learning models to automate requests and improve our labelers’ efficiency.

    This role could be a fit if you have:

      • Systems engineering experience with real-time and distributed system architecture.
      • Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services.
      • Experience building systems that process large volumes of data.
      • Experience with React, Node.js and/or MongoDB.
      • At least a Bachelor’s degree (or equivalent) in a relevant field.

      For more information, please contact [email protected] More

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