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.