AI/ML Engineer - Model Development - Secret Clearance Job at Cognitive Space in
Cognitive Space, Houston, TX, United States
Overview
We are seeking a highly skilled Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. It is important for you to possess a passion for reinforcement learning (RL) or neural network models, managing complex data sets, and data fusion methodologies
Location
Houston - hybrid in office 2-3 times a week
What you will be doing
Develop, train and deploy RL or GNN 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.
What you will need
US Citizenship, Permanent Resident (Green) Card
Active Secret clearance or the ability to obtain and maintain one.
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 using RL or neural networks.
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.
Benefits
One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer:
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
Salary
$160,000 - $195,000
We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.
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We are seeking a highly skilled Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. It is important for you to possess a passion for reinforcement learning (RL) or neural network models, managing complex data sets, and data fusion methodologies
Location
Houston - hybrid in office 2-3 times a week
What you will be doing
Develop, train and deploy RL or GNN 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.
What you will need
US Citizenship, Permanent Resident (Green) Card
Active Secret clearance or the ability to obtain and maintain one.
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 using RL or neural networks.
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.
Benefits
One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer:
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
Salary
$160,000 - $195,000
We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.
#J-18808-Ljbffr