ML Engineer- Metadata Extraction

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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 machine learning engineer to join Brightcove Labs and build the future of online video. Reporting directly to the Chief Data Officer, this individual will be responsible for building out machine learning pipelines for broad ranges of automatic metadata extraction from the millions of videos that our customers trust Brightcove to deliver. Broad experience applying and extending machine learning models to a variety of unstructured content such as speech, text, and images will be critical to the success in this role.
As a new organization within Brightcove, this position begins as an individual contributor that will grow as the organization grows and delivers more value to our customers. The successful candidate will use their excellent communication skills to mentor software engineers, build up a culture of ML and AI, and communicate with our current and prospective customers other product managers and engineering teams to bring a deep understanding of machine learning to the company such that it becomes ingrained in the fabric of Brightcove and our customer offerings.
Critical to the success of this role is the ability to lead both Brightcove customers and employees into the future of video through the intelligent and prudent use of AI/ML and data solutions. This means having a finger on the pulse of what’s new and interesting and translating the latest research into a future product roadmap that helps our customers address problems before they even realize they have the problem.
Job Responsibilities
Work with the Chief Data Officer to develop a suite of unstructured data processing tools (speech, text, and video) to enhance the Brightcove customer experience.
Build and train machine learning models to work on large volumes of unstructured data either by enhancing existing open source models or by integrating with third party services.
Lead development of data and machine learning systems for training, testing, and executing machine learning models at scale.
Work with globally distributed cross-functional teams (engineering, design, product, customer success, sales, partners) to translate our strategy into product by delivering machine learning components that transform customer and viewer experiences.
Serve as one of our subject matter experts in defining Brightcove’s future directions around AI and ML.
Qualifications/Experience
4 years experience shipping machine learning models to production
4 years experience in Python, Scala, or Java
Knowledge of Linux and AWS systems including the ability to directly interact with AWS resources
Proven ability to lead and mentor other machine learning engineers and define organizational culture around machine learning
Experience with working with deep learning models and pipelines around a wide variety of tasks.
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.
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
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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