We have the largest annotated dataset for the construction industry ever assembled with all of its real world attributes: dirty, unexplored, and rich. This role is for you if you want hands-on experience with ML on image, speech, and video data. We are looking for someone excited to design, train, apply and evaluate the latest deep learning models on customer data within our cloud based research and production environments. The goal is to generate an automated assessment of job site safety risks and feed the data to a predictive pipeline that will help our clients better manage their workforce and ultimately save lives. Most of our programming is done in Python3 using AWS resources. Familiarity with Jupiter Notebooks, Pandas, Matplotlib, and SQL is preferred.
Who were looking for:
Were looking for someone who can help us process the backlog of computer vision classifiers we are building with our customers. Contributions range from creating and managing experiments, writing code that runs in our production environment, to finding or creating new technologies to solve our customers problems.
What you bring:
- Background in computer vision and machine learning at scale
- A desire to enable machine learning in an applied context
- Comfort in working with a Python based stack
- Familiarity Tensorflow, Keras, PyTorch, Fast.ai, and Docker
- 4+ years experience desired but not required
Who we are:
Smartvid.io, Inc. an Award Winning ML/AI software company, is Boston-based and focused on leveraging machine learning to improve safety, productivity and quality in the $10T global architecture, engineering and construction industry. Our AI engine, nicknamed Vinnie, uses deep learning to analyze video, photo and other project data to identify and predict the risk of safety incidents on the jobsite. Smartvid.io's software gives project teams and management the ability to predict and prevent accidents - saving lives and preserving timely project delivery.
In 2018, Smartvid.io was recognized as one of Bostons 50 Startups to Watch and featured in MITs Tech Review.
NVIDIA chose Smartvid.io as 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.