Machine Learning Engineer
3 weeks ago
Location: Colorado Springs (remote with local meetings)
Salary: $150,000 - $175,000
Hott Source is seeking a highly skilled Machine Learning Engineer with a TS/SCI clearance to join our team of experts delivering cutting-edge technology and mission-critical services to the U.S. government. This remote role requires proximity to Colorado Springs for occasional in-person meetings at short notice.
Key Responsibilities:- Design and implement ML models for trajectory generation and prediction, leveraging techniques like deep learning, GANs, reinforcement learning, and classical optimization.
- Develop and optimize trajectory algorithms for autonomous vehicles, focusing on real-time performance, safety, and efficiency.
- Collaborate with aerospace engineers, software developers, and data scientists to integrate ML algorithms into autonomous systems.
- Analyze large datasets to train, validate, and refine predictive models for robust and reliable trajectory performance.
- Extensive ML experience with deep learning frameworks (TensorFlow, PyTorch), classical optimization, and reinforcement learning in the aerospace flight domain.
- Expertise in optimizing physics-based trajectory algorithms for autonomous vehicles/robotics.
- Strong programming skills in Python (required), C++, and MATLAB.
- Experience with AWS SageMaker tools.
- Remote working
- Full Medical and Rx coverage
- 4% 401K plan
- 15 days PTO (increasing every year of employment up to 23 days)
- Flexible Spending accounts
- Disability Insurance Insurance
- Tuition and Certification reimbursement
This is a unique opportunity to be part of a mission-critical program that pushes the boundaries of technology in the defense and aerospace sectors. If you're ready to bring your expertise to a dynamic, high-impact environment, we encourage you to apply.
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