Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
The company's products are powered by Coherent Distributed Networks (CDN), empowering warfighters ... Apply statistical signal detection frameworks, including Neyman-Pearson, Bayesian, and CFAR ...
The company's products are powered by Coherent Distributed Networks (CDN), empowering warfighters ... Apply statistical signal detection frameworks, including Neyman-Pearson, Bayesian, and CFAR ...
Principal AI Software Engineer (TS/SCI + Poly) Fort Meade, MD
Fort George G Meade, MD · On-site
$207 - $227/hr
... neural networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc ... Bayesian analysis, and covariance matrices. * Proficiency in agentic systems that can automatically ...
Principal AI Software Engineer (TS/SCI + Poly) Fort Meade, MD
Fort George G Meade, MD · On-site
$207 - $227/hr
... neural networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc ... Bayesian analysis, and covariance matrices. * Proficiency in agentic systems that can automatically ...
Principal AI Software Engineer TS/SCI w/Poly
Fort George G Meade, MD · On-site
$200 - $255/hr
... as deep neural networks, recurrent neural networks, and attention‑based transformers ... non‑parametric probability distributions, Bayesian analysis, and covariance matrices.
Principal AI Software Engineer TS/SCI w/Poly
Fort George G Meade, MD · On-site
$200 - $255/hr
... as deep neural networks, recurrent neural networks, and attention‑based transformers ... non‑parametric probability distributions, Bayesian analysis, and covariance matrices.
Applied Scientist II - AMZ9971140
Seattle, WA · On-site
$153K - $193K/yr
Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data.
Applied Scientist II - AMZ9971140
Seattle, WA · On-site
$153K - $193K/yr
Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data.
Research Scientist - Simplex
Emeryville, CA · On-site
$140K - $200K/yr
Our aim is to develop and apply a rigorous theory of latent internal structure in neural networks ... Bayesian belief updating over hidden states of a world model. Even when trained on simple token ...
Research Scientist - Simplex
Emeryville, CA · On-site
$140K - $200K/yr
Our aim is to develop and apply a rigorous theory of latent internal structure in neural networks ... Bayesian belief updating over hidden states of a world model. Even when trained on simple token ...
... networks, space, time, or causal inference based on discrete and dependent data, either Bayesian or non-Bayesian. If desired, the postdoctoral scholar may teach one course in the Department of ...
... networks, space, time, or causal inference based on discrete and dependent data, either Bayesian or non-Bayesian. If desired, the postdoctoral scholar may teach one course in the Department of ...
Postdoctoral Scholar
University Park, PA · On-site
... networks, space, time, or causal inference based on discrete and dependent data, either Bayesian or non-Bayesian. If desired, the postdoctoral scholar may teach one course in the Department of ...
Postdoctoral Scholar
University Park, PA · On-site
... networks, space, time, or causal inference based on discrete and dependent data, either Bayesian or non-Bayesian. If desired, the postdoctoral scholar may teach one course in the Department of ...
Software Engineer (Deep Learning)
MD · On-site
$84K - $110K/yr
... Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develops Convolutional Neural Networks
Software Engineer (Deep Learning)
MD · On-site
$84K - $110K/yr
... Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develops Convolutional Neural Networks
[EOI] Postdoctoral Researcher - NYU Courant - Benjamin Peherstorfer's Group
New York, NY · On-site
$75K - $84K/yr
Topics of interest include data-driven modeling via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear ...
[EOI] Postdoctoral Researcher - NYU Courant - Benjamin Peherstorfer's Group
New York, NY · On-site
$75K - $84K/yr
Topics of interest include data-driven modeling via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear ...
... networks), emergent behavior (e.g. flocking, swarming); optimization theory and numerical optimization with applications to data science; high-dimensional statistics; Bayesian statistics; resampling ...
... networks), emergent behavior (e.g. flocking, swarming); optimization theory and numerical optimization with applications to data science; high-dimensional statistics; Bayesian statistics; resampling ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
Graph neural networks, geometric deep learning, equivariant models, neural operators, tensor ... Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
Graph neural networks, geometric deep learning, equivariant models, neural operators, tensor ... Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation ...
AI Engineer
MD · On-site
$80K - $160K/yr
... as Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develop Convolutional Neural Networks and ...
AI Engineer
MD · On-site
$80K - $160K/yr
... as Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develop Convolutional Neural Networks and ...
Machine Learning Engineer
Durham, NC · On-site
... networks (e.g., YOLO, CenterNet) and modern image classification techniques • Software expertise ... Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or ...
Machine Learning Engineer
Durham, NC · On-site
... networks (e.g., YOLO, CenterNet) and modern image classification techniques • Software expertise ... Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or ...
Data Scientist / Senior Data Scientist (Risk Modeling)
Atlanta, GA · On-site
$100K - $160K/yr
Gradient boosting, random forests, and other tree-based models, neural networks models * Clustering and segmentation * Bayesian methods * Hands-on experience with key programming tools: * Python ...
Quick apply
Data Scientist / Senior Data Scientist (Risk Modeling)
Atlanta, GA · On-site
$100K - $160K/yr
Gradient boosting, random forests, and other tree-based models, neural networks models * Clustering and segmentation * Bayesian methods * Hands-on experience with key programming tools: * Python ...
Data Scientist / Senior Data Scientist (Risk Modeling)
San Ramon, CA · On-site
$100K - $160K/yr
Gradient boosting, random forests, and other tree-based models, neural networks models * Clustering and segmentation * Bayesian methods * Hands-on experience with key programming tools: * Python ...
Quick apply
Data Scientist / Senior Data Scientist (Risk Modeling)
San Ramon, CA · On-site
$100K - $160K/yr
Gradient boosting, random forests, and other tree-based models, neural networks models * Clustering and segmentation * Bayesian methods * Hands-on experience with key programming tools: * Python ...
Graph Neural Networks (GNNs) for geometry/topology-aware modeling * Transformers for sequential and ... Bayesian, gradient-based, and gradient-free optimization * Reinforcement Learning (PPO, DDPG, SAC ...
Graph Neural Networks (GNNs) for geometry/topology-aware modeling * Transformers for sequential and ... Bayesian, gradient-based, and gradient-free optimization * Reinforcement Learning (PPO, DDPG, SAC ...
... Bayesian analysis, and others to develop and evaluate algorithms that improve product/system ... networks. * Experience with one or more common statistical tools such as SAS, R, KNIME, Matlab.
... Bayesian analysis, and others to develop and evaluate algorithms that improve product/system ... networks. * Experience with one or more common statistical tools such as SAS, R, KNIME, Matlab.
The company's products are powered by Coherent Distributed Networks (CDN), empowering warfighters ... Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate ...
The company's products are powered by Coherent Distributed Networks (CDN), empowering warfighters ... Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate ...
Senior Data Scientist
Irvine, CA · On-site
... networks for imaging, transformers, or temporal models for signals) and apply self-supervised and representation learning under limited labels. * Statistical depth. Apply survival analysis, Bayesian ...
Senior Data Scientist
Irvine, CA · On-site
... networks for imaging, transformers, or temporal models for signals) and apply self-supervised and representation learning under limited labels. * Statistical depth. Apply survival analysis, Bayesian ...
Bayesian Networks information
What is the difference between Bayesian Networks vs Data Analysts?
| Aspect | Bayesian Networks | Data Analysts |
|---|---|---|
| Required Credentials | Statistics, Data Science, Computer Science degrees; certifications in probabilistic modeling | Statistics, Data Science, Business Analytics degrees; certifications in data analysis tools |
| Work Environment | Research, modeling, and algorithm development in tech or research firms | Data interpretation, reporting, and visualization across various industries |
| Industry Usage | Used for probabilistic reasoning, decision support, and machine learning | Used for data interpretation, reporting, and business insights |
Bayesian Networks focus on probabilistic modeling and decision-making algorithms, often requiring advanced statistical knowledge. Data Analysts primarily interpret and visualize data to inform business decisions. While both roles involve data, Bayesian Networks are more technical and model-driven, whereas Data Analysts focus on data interpretation and reporting.
What are Bayesian Networks?
What are the key skills and qualifications needed to thrive as a Bayesian Networks Specialist, and why are they important?
What are some common challenges faced by professionals working with Bayesian Networks in real-world projects?

Full-time
Medical, Dental, Retirement, PTO
Posted 19 days ago
BWX Technologies rating
8.1
Based on 29 frontline employees who took The Breakroom Quiz
Job description
Welcome to BWXT
We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you're an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.
BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.
If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.
Position Overview:
As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques, hybrid modeling approaches, and uncertainty quantification to tackle complex problems in nuclear engineering and related domains. This role is perfect for someone with a strong research background, experience in integrating machine learning models into engineering workflows, and a passion for applying cutting-edge AI technologies to real-world challenges in the nuclear industry.
Location:
This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.
Your Day to Day as a Nuclear Engineering Data Scientist:
- Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
- Design hybrid modeling frameworks that combine physics-based and data-driven approaches for applications such as critical heat flux prediction and reactor physics simulations.
- Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems.
- Optimize nuclear engineering processes using advanced AI methodologies, including transfer learning and generative models.
- Collaborate with cross-functional teams to integrate ML models into existing nuclear engineering tools.
- Lead efforts in data augmentation, synthetic data generation, and domain adaptation to enhance model performance in data-scarce scenarios.
Required Qualifications:
- A minimum of a bachelor's degree in Nuclear Engineering, Computer Science, or a related field, with a strong focus on machine learning and artificial intelligence.
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- A minimum of ten (10) years of relevant experience is required.
- Must have proven expertise in deep learning frameworks such as TensorFlow and PyTorch.
- Must be proficient in programming languages and tools, including Python, C++, and MATLAB.
- Must have experience with nuclear codes such as MCNP, Serpent, OpenMC, and CTF.
- Must have demonstrated ability to develop and validate hybrid modeling techniques in nuclear engineering contexts.
- Must be familiar with uncertainty quantification methods and transfer learning techniques.
- Must have strong publication record in reputable journals and conferences, showcasing contributions to AI and nuclear engineering.
- Must be excellent communication skills and ability to present complex technical concepts to diverse audiences.
- Must be a U.S. citizen.
- Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance as required.
Preferred Qualifications:
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- Ph.D. or M.Sc. in Nuclear Engineering, Computer Science, or a related field is highly desired.
- Strong publication record in reputable journals and conferences, showcasing contributions to AI and nuclear engineering is highly desired.
- Experience integrating machine learning capabilities into established nuclear engineering workflows.
- Knowledge of optimization methods and their applications in reactor design and fuel cycle analysis.
- Familiarity with generative models, such as conditional variational autoencoders (CVAE), for synthetic data generation.
What We Offer:
- Competitive salary and benefits package, including health, dental, and retirement plans.
- Flexible work schedules and paid time off to promote a healthy work-life balance.
- Professional development opportunities, including mentorship programs and sponsorship for continuing education.
- An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
- The chance to be part of a mission-driven organization making a positive impact on the future of energy.
- Opportunities for continuous learning and training to grow throughout your career!
Pay: $86,000.00 - $136,000.00
The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $86,000.00 and $136,000.00 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,' unless employed at a location and in a position subject to a collective bargaining agreement. The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.
As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.
All candidates must be U.S. citizens. Selected applicants are required to successfully complete a pre-employment check and drug screening. In addition, the position may require the ability to obtain and maintain applicable federal eligibility requirements for access to classified/sensitive information or matter which involves an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.
BWXT is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, sex, national origin, citizenship, age, disability, protected veteran or other protected status.
BWX Technologies, Inc. and its affiliates and subsidiaries (BWXT) is not responsible for and does not accept any liability for fees or other costs associated with resumes or candidates presented by recruiters or employment agencies, unless a binding, written recruitment agreement between BWXT and the recruiter or agency exists prior to the presentation of candidates or resumes to BWXT and includes the specific services, job openings, and fees to be paid ("Agreement"). BWXT may consider any candidate for whom a recruiter or agency has submitted an unsolicited resume and explicitly reserves the right to hire such candidate(s) without any financial obligation to the recruiter or agency unless an Agreement is in place prior to presentation and such Agreement explicitly encompasses the job opening for which such fees or costs are sought. An email, verbal or other informal contact with any person within BWXT will not create a binding agreement. Agencies or recruiters without an Agreement are directed not to contact any hiring managers of BWXT with recruiting inquiries or resumes. Recruiters and agencies interested in partnering with BWXT may contact BWXT's Talent Acquisition team at talent_acquisition@bwxt.com.
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