About the job
Join a sizeable team of data scientists, research scientists, and machine learning engineers that develop computer vision models on overhead imagery for a high-impact government customer. We own the entire machine learning development life cycle, developing models on customer data.
Responsibilities
Run data conversion pipelines to transform customer data into the structure needed by models for training
Perform EDA on the customer data
Train deep neural network models on overhead imagery
Develop and implement hyper-parameter optimization strategies
Test and Evaluate models and analyze results
Package and deliver models to the customer
Incorporate model R&D from low-side researchers
Implement new features to the model development code base
Collaborate with the rest of the team on long term strategy and short-medium term implementation.
Contribute to presentations to the customer regarding the team’s work.
Qualifications
Minimum
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
2+ years of experience with machine learning, statistical modeling, data analysis tools and techniques, and performance parameters for computer vision delivery requirements
Current, active US Government Security Clearance of Top Secret or above
Preferred
3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Familiarity with internals of LLMs, VLMs, and traditional Computer Vision object detection models