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Senior Machine Learning Engineer

Brightcove, US-Remote

Making video work for you


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 Senior Machine Learning Engineer to join Brightcove Labs and build the future of online video. As a critical member of our machine learning and artificial intelligence team, this individual will be responsible for building out machine learning pipelines to support video, audio, and text machine learning models through data transformation, feature engineering, training and deployment. Broad experience working with large volumes of unstructured data, both in batch and streaming mode, and building scalable machine learning systems with 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. We are developing world-class video intelligence products powered by AI/ML for customers in the discovery and understanding of the videos and video contents, and in the automation of the processes.

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 create a variety of machine learning models and systems to unlock the power of machine learning on video to Brightcove’s customers
  • Analyze and extract relevant information from large amounts of historical data and provide hands-on data wrangling expertise
  • Design and build scalable machine learning models and applications 
  • Work with data engineers and developers to productionize the applications
  • Monitor, maintain the models and applications
  • Collaborate with data engineers, research scientists and product managers to push the pace of innovation and experimentation with best practice and cutting-edge technologies

Qualifications/Experience 

  • 4+ years of experience designing and building data-intensive solutions using distributed computing
  • 4+ years of experience programming with Python, Scala, or Java
  • Experience with data pipelines and large scale data stores
  • 2+ years of professional experience with an industry recognized ML framework such as, Scikit-Learn, XGBoost, TensorFlow, Keras, PyTorch, or Spark
  • 1+ years of experience developing, monitoring, and maintaining models
  • 2+ years of experiences with AWS, GCP or Azure
  • Experience with Computer Vision techniques such as image classification, object detection, semantic segmentation, and leading computer vision libraries such as OpenCV

Preferred

  • Advanced degree in computer science, statistics, physics, engineering, mathematics or other heavily technical discipline
  • Natural Language Processing (NLP) for text classification, information extraction, topic modeling, machine translation 
  • Content recommendation algorithms
  • Experience designing AI/ML workflow and end-to-end pipelines
  • Experience with ML Pipelines such as AWS SageMaker, GCP Vertex AI, Kubeflow Pipelines, ML Flow, or Azure ML
  • Experience with Docker and Kubernetes

Location: US HOME BASED (100% Remote)

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.

#LI-RM

#LI-Remote

About Brightcove

We are a pioneering force in the world of online video and have been since our founding in 2004. We continue to push the limits because we believe in video’s unmatched power to educate, inspire, entertain, and communicate. VIDEO MOVES US We are passionate about online video! Day in and day out we help our customers focus on using video to move their business in meaningful ways, whether that’s in broadcasting or publishing, marketing, or enterprise communications. We do this through continuous technical innovation, nurturing a broad video-centric ecosystem, and by being a true partner to our customers. Video moves us and it moves our customers, thousands of them in 70 countries.

Brightcove

Want to learn more about Brightcove? Visit Brightcove's website.