
Senior AI/ML Engineer - Reinforcement Learning (RL) chez Cognitive Space
Cognitive Space · Houston, États-Unis d'Amérique · Hybrid
- Senior
- Bureau à Houston
Overview:
We are seeking a highly skilled senior 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 automated space asset scheduling solution with cutting-edge machine-learning algorithms and models. It is important for you to possess a passion and have experience with reinforcement learning (RL) models, managing complex data sets, and data fusion methodologies.
Location:
Houston - hybrid in the office 2-3 times a week
What you will be doing:
- 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.
- 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.
- Prefer experience in the space, satellite, or aerospace industry, with a focus on mission operations, systems engineering, or related domains.
- Proficiency in conveying intricate data in a clear and practical manner.
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 - $200,000
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.