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 will be important for you to possess a passion for graph neural network (GNN) models, managing complex data sets, and data fusion methodologies.

What You Will Be Doing

Develop, train and deploy 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
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
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

Perks

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

$130,000 - $170,000

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.

Location and Company Information

Hybrid in Houston

Cognitive Space is a Texas-based, venture-backed software company specializing in AI-driven solutions for space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, which has been successfully deployed in commercial and defense applications. We are committed to delivering innovative, resilient, and adaptive network management solutions that meet the demanding requirements of our commercial and government customers.

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, taking into account these factors. We believe this will ensure a fair and competitive compensation for you.

Cogntive Space Inc. is an equal opportunity employer. Cogntive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.

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AI/ML Engineer

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