Machine Learning Engineer

At INflow Federal, we're not just navigating the frontier of digital transformation; we're reshaping it. Our dedication to merging the prowess of humans and machines to solve complex problems has set us apart in designing and engineering solutions for the Department of Defense (DoD) networks. Here, every challenge is an opportunity to advance, and every solution is a step towards a more secure and connected future. We look forward to welcoming you to the INflow team!

ABOUT THIS POSITION:

We are looking for an engineer who enjoys disrupting the "norm" to join our dream team designing and executing experiments for few and low shot approaches for overhead imagery.

Avenues of research include: self-supervised methods, generative adversarial approaches for domain transfer with synthetic imagery, methods for reducing supervision cost through alternative annotation types and networks.

Key Responsibilities:
• Design and execute experiments for general detector performance in overhead imagery. Implement and evaluate new network architectures/approaches from literature as necessary to maintain strong baseline performance.
• Create custom deep neural network components and new performance metrics as needed.
• Occasionally write custom network components, evaluation metrics, etc. in C++
• Maintain containerized execution environments for experiments across compute architectures and domains using Docker and Singularity.
• Occasionally work to deploy models created by the team on various partner platforms for evaluation and feedback.
• Build and maintain production ready ML pipelines
• Build and maintain a production-ready platform to run models in parallel and A/B test
• Prepare and preprocess data in collaboration with the data engineering team

Required Qualifications

• Experience in Machine Learning related field, preferably Computer Vision
• In-depth knowledge of image processing, statistical modeling, advanced mathematics, data integration concepts and tools
• Strong organizational, analytical, critical thinking and leadership skills
• Demonstrated leadership on mid-large-scale project impacting strategic partners
• Background in Machine Learning frameworks such as PyTorch, TensorFlow, SparkML or Keras, Scikit Learn
• Proficiency in Python or an equivalent language
• Knowledge of C++ or equivalent object-oriented language
• Experience with at least one cloud provider (AWS, Azure, GCP)
• Experience with CI/CD and containerization tools (e.g. Docker, Singularity, github/GitLab) and best practices
• Experience with Blender

Required Education & Experience

• MS + 2 years
• BS + 5 years
• No Degree + 15 years

Preferred Qualifications

• Masters Degree Preferred
• PhD Preferred
• Research Experience Preferred

Clearance Requirement

• Must have a minimum of a DoD TS/SCI clearance