Machine Learning Engineer
US Remote
Applications have closed
Brightcove
Brightcove bietet eine skalierbare, zuverlässige und sichere Streaming-Plattform, mit der Unternehmen Video-Inhalte hosten, freigeben und streamen können. Holen Sie sich noch heute eine Demoversion.Brightcove seeks a Machine Learning Engineer to join the Brightcove Data Team 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. We are developing world-class video intelligence products powered by AI/ML for customers in the discovery and understanding of the videos, video contents, and in the automation of the processes.
This position 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 videos to understand broad trends in videos across video catalogs
- Design and build cloud native scalable machine learning models and applications
- Work with data engineers and developers to productionize the applications
- Monitor and maintain production machine learning models and applications
- Collaborate with data engineers, research scientists and product managers to push the boundaries of innovation and experimentation with best practice and cutting-edge machine learning technology
Qualifications/Experience
- 3+ years of Machine Learning Engineering experience or an advanced degree (MS or Ph.D) in Computer Science, Data Science, Machine Learning, or related field is required
- Proficiency in one or more programming languages such as Python (preferred), Scala or Java
- Knowledge and experience with relational database system and SQL
- Deep understanding of statistical modeling, machine learning, and deep learning concepts, and a track record of solving problems with these methods
- Familiarity with one or multiple industry recognized ML frameworks such as Scikit-Learn, XGBoost, PyTorch, TensorFlow, or Keras
- Experience working with major cloud providers - we make use of both AWS and GCP
- Knowledge and experience with at least one of the following three areas acquired either through academic training or industrial projects:
- Computer Vision techniques such as image classification, object detection, object tracking, semantic segmentation, and leading computer vision libraries such as OpenCV
- Natural Language Processing for text classification, information extraction, topic modeling, machine translation a plus
- Content recommendation algorithms
- Excellent communication, relationship skills, and a strong team player
- Ability to adapt to ever changing, growing and transformative SaaS software technology environment; ability to shift in priorities and focus with determination and positive attitude
Preferred Qualifications/Experience
- Experience with data pipelines and large scale data stores (data lake, data warehouse, Hadoop, MapReduce, Spark)
- Experience with developing and building data-intensive solutions
- Experience with ML Pipelines such as AWS SageMaker, GCP Vertex AI, Kube Flow Pipelines, ML Flow, or Azure ML
About Brightcove
As the industry leader in this space, we empower our customers to deliver top-notch video experiences to audiences on every screen in bold and innovative ways. When video is done right, it can have a powerful and lasting effect. Hearts open. Minds change. Creativity thrives. Since 2004, Brightcove has been supporting customers that 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. This culture enables us to develop technologies once thought impossible, provide customer support without parallel or excuses, and leverage the expertise and resources of a global infrastructure. We take our video seriously, and we take great pride in doing it as one team.
Working at Brightcove
As the undisputed global leader in powering premium video for our customers, Brightcove recruits and retains highly qualified and motivated individuals, creating an environment where people can innovate and achieve their best, and we reward them for their performance by giving them the opportunity to share in the company’s success. We offer competitive compensation, stock options, 401k matching, and tuition reimbursement, as well as generous PTO - and we expect you to use it!
We offer Remote, Hybrid, and Onsite work arrangements. Our US based office is located in downtown Boston, in Fort Point harbor. This Brightcove office has an open working space layout with beautiful water views. Employees enjoy access to fully-stocked kitchens and social activities including: happy hours, trivia and movie nights, ping pong tournaments, and philanthropy events. We have plenty of opportunities to meet your colleagues around the globe and we also celebrate a variety of personal interests with organized groups and clubs including an Employee Action Committee, Women of Brightcove, Pride of Brightcove, Parents of Brightcove … and more!
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. If you need any accommodations for your interview, please email recruting@brightcove.com.
#LI-Remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Classification Computer Science Computer Vision Data pipelines Deep Learning Engineering Feature engineering GCP Hadoop Industrial Keras Machine Learning ML models NLP OpenCV Pipelines Python PyTorch Research SageMaker Scala Scikit-learn Spark SQL Statistical modeling Streaming TensorFlow Topic modeling Unstructured data XGBoost
Perks/benefits: Competitive pay Equity Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs