Cognitive Space is seeking a highly skilled Senior Machine Learning Engineer to join their innovative team. This role involves developing and deploying machine-learning algorithms to enhance the automation of their CNTIENT space asset scheduling solution, with a focus on data fusion and complex data analysis. The position requires a strong understanding of reinforcement learning models and data manipulation methodologies.
Requirements
- US Citizenship, Permanent Resident (Green) Card
- Ability to obtain and maintain a US Government security clearance at the Secret/Top Secret level
- Bachelor’s, Master’s degree, or Ph.D. in a relevant field
- 4-7 years of professional experience as a Machine Learning Engineer, AI Engineer, or Applied Scientist
- Comprehensive knowledge of numerical methods, probability, and statistics
- Experience with Python, Rust, and data science tools like Numpy and Pandas
- Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Experience in data manipulation, analysis, and visualization
- Proficiency in conveying intricate data in a clear and practical manner
Benefits
- Equity in company
- Flexible Time-Off policy
- Cost-effective health care, dental, and vision
- 401k matching plan with company match
- Life insurance
- Short-term and long-term disability