Job Requirements
Aberdeen, MD
Secret Polygraph None
Career Level not specified
$103,500 - $181,100
Job Description
In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons is searching for a professional to support development, integration, testing, and ongoing execution of in-house machine learning research on multi-agent reinforcement learning.
What You'll Be Doing :
What Required Skills You'll Bring:
Preferred Skills:
Security Clearance Requirement:
None
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $103,500.00 - $181,100.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons is searching for a professional to support development, integration, testing, and ongoing execution of in-house machine learning research on multi-agent reinforcement learning.
What You'll Be Doing :
- This work will include conducting experiments on the effectiveness, efficiency, and scalability of deployed machine learning (ML) solutions.
- Formulating and testing hypotheses via implementing compute-efficient AI/ML training methods, applying statistics, and performing data analysis
What Required Skills You'll Bring:
- Required: B.S. in Computer Science or Engineering and 5+ years of post-degree machine learning experience, or M.S. in Computer Science or Engineering and 2+ years of experience, or Ph.D. in relevant field
- High proficiency in Python with a strong background in writing modular, testable, and maintainable codebases
- Framework fluency with data science tools and libraries (NumPy, Pandas, etc) and at least one deep learning framework (PyTorch or TensorFlow)
- Familiarity with virtual environment tools such as Conda/uv/Poetry, or Docker containerization
- Experience with Git and software development best practices, and working within Linux systems
- The ability to work both individually and in a multi-team development project
- Communicate methods and findings through publication manuscripts
- U.S. Citizenship is required
- Must be able to obtain and maintain a security clearance
Preferred Skills:
- Experience with reinforcement learning or multi-agent systems
- Experience running experiments on HPC or cloud systems, and tracking results for later analysis between machines (Trackio / Weights & Biases / Tensorboard with neat file management)
Security Clearance Requirement:
None
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $103,500.00 - $181,100.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .
group id: 10118733
What we do.
