Data Analysis and Verification Analyst (Contract) at Ambient.ai (W17)
AI-powered environments that are safe, efficient, and sustainable.
Remote
Full-time
About Ambient.ai

Ambient.ai is a stealth AI company headquartered in Palo Alto on a mission to enable intelligent environments that are safe, efficient and sustainable. Our breakthrough technology combines cutting edge deep learning with a contextual knowledge model to endow agents with a human-like perception ability. Ambient's flagship product has been deployed by multiple Fortune 100 companies to solve a mission-critical problem in a way that has never been possible.

The company was founded in 2017 by experts in artificial intelligence from Stanford who previously built iconic products at Apple, Google, Microsoft and Dropbox. We are backed by Andreessen Horowitz (a16z), SV Angel, Y Combinator, and visionary angels like Jyoti Bansal, Mark Leslie and Elad Gil.

There’s work and there’s your life’s work. We are looking for people who believe in the transformational power of AI, have an insatiable desire to solve customer problems with delightful products and are ready to be a part of something much bigger than themselves to do their life’s work ([email protected]).

About the role

Ambient.ai is a stealth AI company headquartered in Palo Alto, California on a mission to enable intelligent environments that are safe, efficient and sustainable. Our breakthrough technology combines cutting-edge deep learning with a contextual knowledge model to achieve human-like perception ability. Ambient's flagship product has been deployed by multiple Fortune 100 companies to solve a mission-critical problem in a way that has never been possible.

The company was founded in 2017 by experts in artificial intelligence from Stanford University who previously built iconic products at Apple, Google, Microsoft and Dropbox. We are a Series-B company backed by Andreessen Horowitz (a16z), SV Angel, YCombinator, and visionary angels like Jyoti Bansal, Mark Leslie and Elad Gil.

Why Us?

Recently named on the YC Top Companies List 2021, and the Forbes Cloud 100 Rising Stars 2020, we’re achieving the impossible daily and we’d love to have you aboard this rocket ship. Join us!

Position Overview

Ambient.ai is looking for an India-based Data Analysis and Verification Analyst (20-40h/week). The role encompasses two tasks, and time will be split roughly evenly between them:

Security Operations Center (SOC)

  • Analyze both raw and processed real-time physical security event data to identify potential security incidents, threats and vulnerabilities

  • Monitor and respond to notifications and alarms from all sources in near real-time

  • Document and report incidents or issues related but not limited to security and safety

  • Work with internal engineering teams to assist in data collection and product testing

  • Answer all forms of communications including phone, e-mail, text, slack, etc.

Data Analysis and Annotation

  • Support the growth of Ambient.ai’s computer vision datasets

  • Recognize and label objects and people in images using annotation tools such as Supervisely

  • Evaluate data and provide recommendations to the engineering team regarding the quality and diversity of the provided datasets

Requirements and Skills

  • Stable high-speed internet connection
  • Proficiency in English
  • Communicate effectively with the internal teams to assure business continuity
  • Reliable team player who can commit to and fill a post for a mutually agreed schedule within the 24/7 SOC operation
  • Basic familiarity with UNIX and the command line
  • Basic familiarity with Python is a plus
  • Prior experience with Supervisely and data annotation is a plus
Technology

Ambient's tech stack is very extensive.

  • For the IoT server and the deep learning infrastructure, we use Python, C/C++, WebRTC and Tensorflow on GP-GPUs (NVIDIA).
  • The web backend and micro-services are written largely in Python. The frontend is a mix of React and native Javascript. The web infrastructure is supported by a variety of services such as Redis, celery, elasticsearch, Amazon RDS etc.

We also use a variety of tools such as supervisor, docker, network monitoring tools and performance profilers.

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