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Machine Learning Internship (Multi-Domain Data Fusion for Pilot Training)

Date Posted: February XX, 2024
Category: AI Technology


Location: Remote

Position Type: Intern (June 2024 - August 2024)

Position Summary: The Machine Learning Intern (Multi-Domain Data Fusion for Pilot Training) will work on researching and developing prototypes for emerging capabilities in human-AI teaming regarding the NAVAIR SBIR N2-8104, Multi-Domain Data Fusion Instructional Strategies and Methods for Pilot Training, otherwise known as They will work towards developing upon existing bodies of ML research or identifying new areas of technological/engineering investment that are relevant to our roadmap through designing experiments and rigorously validating them. These capabilities will aim to advance pilot training and reduce cognitive burden for users of future advanced autonomous systems in a task-saturated environment.

Role and Responsibilities:

  • Work within simulation environments and operate over the simulated sensor returns across disparate domains of data from our autonomous agents
  • Develop novel ML models for proprietary and third party simulation environments
  • Iterate over human-centered design visualizations of ML model returns to ensure a reduction in cognitive load
  • Design end-to-end experiments and validate outputs
  • Generate detailed technical reports that summarize findings with repeatable trials
  • Work with production-grade ML models and identify improvements over time

Required Skills:

  • Proficient in Python and C++
  • Experience working with tabular and unstructured data
  • Knowledge of software engineering principles and fundamentals
  • Knowledge and experience with designing and validating ML-based experiments
  • Strong understanding of ML fundamentals
  • Experience working with production-grade ML models

Preferred Skills:

  • Experience working with raw sensor data (RGB, LiDAR) and deep learning-driven outputs (instance segmentation)
  • Familiarity with game engines, especially Unreal Engine
  • Experience working on professional-grade code and building software either as personal projects or in past professional experiences
  • Publication experience or experience working on a research project/team


College Program Major: BS/MS/PhD in Computer Science, Artificial Intelligence, Electrical Engineering, Physics, Statistics, or similar

Physical Requirements: Quiet working area with strong/reliable internet, the next generation aviator technology training and simulation platform that aviators can access today.


Fly high with confidence with our Machine Learning (Multi-Domain Data Fusion) Internship! If you’re passionate about exploring cutting-edge technology and shaping the future of human-AI advanced teaming, join our team and discover your potential.


ThayerMahan is an Equal Opportunity Employer and doesn't discriminate based on race, color, sex, national origin, sexual orientation, gender identity, religion, age, disability, genetic information, protected veteran status, or other non-merit factors.
At ThayerMahan, we are committed to fostering a diverse, equitable, and inclusive environment where every individual feels valued, respected, and supported. We believe diversity in backgrounds, perspectives, and experiences enriches our work and drives innovation. By embracing diversity and fostering inclusion, we believe we can achieve our mission more effectively, drive innovation, and create a positive impact in the world. ThayerMahan is an equal-opportunity employer and welcomes internship applications from individuals of all backgrounds.

Due to the nature of our government contracts, we are only able to consider applications from individuals who are United States citizens.


Hiring Contact: Zane Denmon, Assistant Director of AI
Hiring Contact Email Address: