We have lots of real data, with all its real attributes: dirty, unexplored, and rich. This role is for you if you want hands-on experience supporting ML by managing image, speech, and video data. Were applying new deep learning models to customer data every day, and we want to better connect the results to our continual improvement cycle. The end product isnt just cool - its helping our clients save lives.
Who were looking for:
We are more interested in what you can do than what you have done. Were looking for contributions ranging from organizing data, to building data cleaning tools, to analyzing data impact, to building and managing outsourced data labeling tasks.
What you bring:
- Background in data analytics, data management, or research pipelines
- A desire to enable machine learning in an applied context
- Working knowledge in deep learning, computer vision and Tensorflow is a plus
- Required experience: We want the best, so we're open to all levels
Who we are:
Smartvid.io, Inc. is a Boston-based software company focused on leveraging machine learning to improve safety, productivity and quality in the $10T global architecture, engineering and construction industry. Our SmartTag Engine leverages deep learning to listen to (voice recognition) and watch (image recognition) what is seen in a video or photo and then automatically tags it according to defined terms and alert conditions. The platform saves significant time for teams, provides a better way to communicate with clients, tames the challenge of enterprise-wide media management, and creates an alert and analytics framework for key aspects of project delivery.
In 2018, Smartvid.io was recognized as one ofBostons 50 Startups to Watchand featured inMITs Tech Review.
NVIDIA chose Smartvid.ioas the runner-up for most disruptive startup at their 2017 GTC conference.
Our office is in the heart of Kendall Square in Cambridge, MA and our benefits include an awesome gym membership, subsidized commuter costs, unlimited vacation policy, and lots of snacks and hand-crafted coffee drinks.