Company

TVision Insights is a ‘hyper-growth’ television attention measurement company pioneering the way brands, their agencies, TV networks and OTT platforms determine the true value of their video content and advertising. The company’s core technology uses data science and motion capture technology to passively assess eyes on screen, the single most accurate way to measure person-level engagement with video content. Founded by two MIT alumni, TVision Insights is a venture-backed company headquartered in Boston, MA with offices in New York and Tokyo.

Our growth and innovation have been recognized by The New York Times, Advertising Age, AdWeek, MediaPost, and Forbes. We are musicians, marathon runners, data geeks, engineers, and lovers of all things media and technology. Join us!

General Description

TVision Insights devices are deployed in thousands of households. The device software implements TVision’s computer vision and audio signal processing algorithms, is responsible for device management and monitoring, and communicates with our back-end servers in AWS. We further analyze the data and deliver it to our customers via RESTful APIs and analytical graphical UIs. The first generation of devices are currently running Windows, and we are actively building a Linux platform.

In the role of a Software Engineer in Test, you will be responsible for ensuring the correctness and reliability of our data collection and processing, especially on the devices and the backend systems they interact with. Because our data comes from the real world, this isn't a simple matter of right or wrong! You will work with our computer vision and data analysis teams to understand our data and to build quantitative measurements of the efficacy of our models; then you will turn those measurements into automated tests to help us move faster. You will design and build automated tests to assess and compare the efficacy of our computer vision and audio recognition models.

We are big believers in automating everything and in each engineer reviewing and testing what we write. As such you will also review functional code and unit tests, and create the structures so we can effectively test the system.

Primary Job Functions

Design and write code to automate tests of the correctness and robustness of the data collection and reporting from the devices.

Automate testing and comparison of the computer vision and audio recognition models.

Integrate the QA processes with the current automated build and deployment process.

Review unit tests and code written by other engineers to determine where it can be improved and where additional integrations tests are needed.

Qualifications and Skills

2 - 5 years of software engineering and test automation experience

Experience writing automated tests for multi-component systems.

Experience deploying software and integrating with automated build tools.

Experience with Python and Linux/Unix shell scripting.

Experience with any of these areas is a plus: SQL relational databases, quantitative data analysis, hardware, managing test automation frameworks, AWS-based systems, security.

Communication and Culture

Strong communications skills with both technical and non-technical team members.

Collaborative and enthusiastic about agile development and scrum methodologies.

Strong sense of project ownership and personal responsibility.