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Cognitive Space · 2 months ago

Senior AI/ML Engineer - Reinforcement Learning (RL)

Houston, TX

Full-time

Onsite

Mid, Senior Level

$160K/yr - $200K/yr

4+ years exp

Cognitive Space is delivering next-generation AI systems for the space industry through its CNTIENT platform, supporting several US Government agencies and the global space market. The role involves developing, training, and deploying reinforcement learning models while collaborating with cross-functional teams to enhance predictive accuracy and integrate data from multiple sources.

AerospaceArtificial Intelligence (AI)Satellite Communication

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Reinforcement LearningMachine Learning FrameworksData Fusion AlgorithmsPythonData ManipulationStatistical KnowledgeRustNumpyPandasTensorFlowPyTorchKerasJupyter NotebookData VisualizationAerospace Industry ExperienceCommunication Skills

Required

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

4-7 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