Ai/ml engineer - reinforcement learning (rl)

• Develop, train, and deploy RL models to analyze and interpret complex data, enhancing predictive accuracy and uncovering hidden patterns in large datasets while ensuring compliance with operational specifications
• Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness
• Containerize decision-making algorithms and capabilities for on-edge deployment
• Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements

• US Citizenship, Permanent Resident (Green) Card
• Ability to obtain and maintain a U.S. Government security clearance at the Secret/Top Secret level
• Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
• 2-5 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role leveraging RL
• Comprehensive knowledge of numerical methods, probability, and statistics
• Experience with Python, Rust, and with data science tools like Numpy and Pandas
• Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras
• Competence with Jupyter Notebook or similar platforms for development, testing, and presenting findings
• Experience in data manipulation, analysis, and visualization
• Proficiency in conveying intricate data in a clear and practical manner

Prefer experience in the space, satellite, or aerospace industry, with a focus on mission operations, systems engineering, or related domains

• Equity in the form of options
• Flexible Time-Off policy and company holidays
• Cost-effective health care, dental, and vision with company contributions
• 401k matching plan with company match
• Life insurance
• Short-term and long-term disability