Data Engineer

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About Brightcove
Brightcove is a team of smart, passionate people who are revolutionizing the way organizations deliver video. We’re hyped up about storytelling, and about helping people connect, share experiences, and view the world. Bottom line: video has the power to inform, inspire, challenge, amuse, and connect. And we’re here for it.
As the industry leader in this space, we empower our customers to deliver top-notch video experiences to audiences on every screen. Our customers are some of the largest media companies, enterprises, events, and non-profit organizations in the world. There are over 600 Brightcovers globally, each of us representing our unique talents and passions and we have built a culture that values individual empowerment, excellence and collaboration.
Position Overview
Brightcove seeks a data engineer to join Brightcove Labs and build the future of online video. As a critical member of our machine learning and artificial intelligence teams, this individual will be responsible for building out data pipelines to support video, audio, and text machine learning models through training and operations. Broad experience working with large volumes of unstructured data - both in batch and streaming mode - and their associated technologies for shipping, validating, and orchestrating processes around the data will be essential to being a success in this role. Brightcove operates at large scale on multiple clouds and partners with CDNs around the world to deliver our content.
This position is an individual contributor role without formal people management responsibilities - but it will play a critical role in helping to define the culture of working with data to drive AI and ML inside of Brightcove. This means not only understanding the technology, but being able to justify why the adoption of that technology will be able to drive Brightcove forward.
Job Responsibilities
Work with a dynamic team reporting up to the Chief Data Officer to make create a variety of machine learning models and systems to unlock the power of machine learning on video to Brightcove’s customers
Work across product teams to understand the sources of data, get it cataloged, and create pipelines to make the data accessible to machine learning engineers, data analysts, and other members of the Brightcove team
Create reproducible and automatable pipelines for transforming data to serve our machine learning engineers
Provide expert advice to our technical architecture guild about the best practices for building data systems
Build reference implementation for a company wide data lake
Serve as one of our subject matter experts in defining Brightcove’s future directions around AI and ML.
Qualifications/Experience
4 years experience working on a team that ships machine learning models
4 years experience in Python, Scala, or Java
3 years of data engineering experience on a major cloud provider (AWS, GCP, Azure)
Expert knowledge of Linux and containerization
Good knowledge of SQL
A relentless focus on using technology to drive organizational change by bringing in AI/ML solutions to enterprises.
Outstanding written and verbal communication skills.
Preferred
Advanced degree in computer science, statistics, physics, engineering, mathematics or other heavily technical discipline.
Experience with translating the latest research findings into shippable products.
Prior experience building corporate data lakes and data meshes
Experience with orchestration engines such as Airflow, Prefect, and Argo
Experience with Kubernetes
Deep connection and understanding of the broader community of machine learning researchers through a history of published papers or participation in community conferences.
Location: US/GDL
If you've gotten all the way to the bottom of this description, thank you for your interest in Brightcove! If this role sounds like something that is exciting to you please don't hesitate to apply, even if you don't meet all of our qualifications. We recognize that no candidate is perfect and Brightcove would love to have the chance to get to know you.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Send us your resume if you are interested and want to learn more

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