This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.

Join a sizeable team of data scientists, research scientists, and machine learning engineers that develop vision language models (VLMs) on overhead imagery for a high-impact government customer. We own the entire machine learning development life cycle, developing models on customer data:

- Exploring the data and brainstorming and prioritizing ideas for model development
- Implementing new features
- Training models in support of experimental or performance goals
- T&E-ing, packaging, and delivering models

We perform this work on both unclassified and classified networks, with portions of our team working on each network.

We seek a new team member to work on the classified networks. You would work collaboratively with teammates to develop and use a python codebase for fine-tuning VLMs.

You would have great opportunities to learn from team members and technical leads, while also having opportunities for ownership of important project workflows. You would work with Jupyter Notebooks, the Linux command line, GitLab, and Visual Studio Code.

Key job responsibilities
With support from technical leads, carry out tasking across the entire machine learning development lifecycle to fine-tune VLMs on overhead imagery:

- Run data conversion pipelines to transform customer data into the structure needed by models for training
- Perform EDA on the customer data
- Train VLMs on overhead imagery
- Develop and implement hyper-parameter optimization strategies
- Test and Evaluate models and analyze results
- Package and deliver models to the customer
- Implement new features to the 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.