NLP Developer
Herndon, VA · On-site
... Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep ... and programming standards. • Exposure to Probabilistic Programming, including open source ...
NLP Developer
Herndon, VA · On-site
... Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep ... and programming standards. • Exposure to Probabilistic Programming, including open source ...
Apply statistical reasoning for data-driven studies, selecting appropriate methods (e.g., Bayesian ... Have experience using probabilistic programming frameworks such as Stan, PyMC, or similar tools.
Apply statistical reasoning for data-driven studies, selecting appropriate methods (e.g., Bayesian ... Have experience using probabilistic programming frameworks such as Stan, PyMC, or similar tools.
Probabilistic models, risk scoring, Bayesian inference, Monte Carlo simulation, and probabilistic ... Facilitating engineering discussions across teams representing multiple stakeholders to develop and ...
Probabilistic models, risk scoring, Bayesian inference, Monte Carlo simulation, and probabilistic ... Facilitating engineering discussions across teams representing multiple stakeholders to develop and ...
Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$191 - $253/hr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$191 - $253/hr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Senior Software Engineer, Estimation & Filtering
Washington, DC · On-site
$138K - $182K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Senior Software Engineer, Estimation & Filtering
Washington, DC · On-site
$138K - $182K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$220 - $292/hr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$220 - $292/hr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$138K - $182K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$138K - $182K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
2027 PhD Graduate - Reliability Engineer System Realization and Resilience Group
Laurel, MD · On-site
$101K - $127K/yr
FMEA, FMECA, Reliability Block Diagrams, Fault Tree Analysis, Probabilistic Risk Assessment and so ... Have experience applying Bayesian techniques to data analysis for prediction, planning, and ...
2027 PhD Graduate - Reliability Engineer System Realization and Resilience Group
Laurel, MD · On-site
$101K - $127K/yr
FMEA, FMECA, Reliability Block Diagrams, Fault Tree Analysis, Probabilistic Risk Assessment and so ... Have experience applying Bayesian techniques to data analysis for prediction, planning, and ...
Senior Software Engineer, Estimation & Filtering
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Senior Software Engineer, Estimation & Filtering
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Senior Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Estimation & Filtering with Security Clearance
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Senior Software Engineer, Estimation & Filtering with Security Clearance
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
New
Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$191K - $253K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Software Engineer, Robotics Tracking and Fusion
Washington, DC · On-site
$191K - $253K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Software Engineer, Robotics Tracking and Fusion with Security Clearance
Washington, DC · On-site
$191K - $253K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Software Engineer, Robotics Tracking and Fusion with Security Clearance
Washington, DC · On-site
$191K - $253K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Robotics Tracking and Fusion with Security Clearance
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Senior Software Engineer, Robotics Tracking and Fusion with Security Clearance
Washington, DC · On-site
$220K - $292K/yr
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Probabilistic Programming Bayesian information
See Washington, DC salary details
$173.9K - $193.5K
5% of jobs
$193.5K - $213.1K
7% of jobs
$213.1K - $232.7K
6% of jobs
$232.7K - $252.3K
1% of jobs
$252.3K - $271.9K
1% of jobs
$271.9K - $291.5K
2% of jobs
$297.4K is the 25th percentile. Wages below this are outliers.
$291.5K - $311.2K
5% of jobs
$311.2K - $330.8K
18% of jobs
The median wage is $334.2K / yr.
$330.8K - $350.4K
18% of jobs
$361.3K is the 75th percentile. Wages above this are outliers.
$350.4K - $370K
18% of jobs
$370K - $389.6K
17% of jobs
$173.9K
$317.3K
$389.6K
How much do probabilistic programming bayesian jobs pay per year?
As of Sep 3, 2026, the average yearly pay for probabilistic programming bayesian in Washington, DC is $317,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $295,000.00 and $365,300.00 per year, depending on experience, location, and employer.
What is probabilistic programming in the context of Bayesian statistics?
Probabilistic programming in the context of Bayesian statistics refers to writing computer programs that use probability distributions and Bayesian inference to model uncertainty and learn from data. These programs allow users to define complex probabilistic models using code, making it easier to specify, fit, and analyze Bayesian models. Probabilistic programming languages, such as Stan, PyMC, or Edward, provide tools to automate inference, enabling practitioners to focus on modeling rather than mathematical derivations. This approach is widely used in fields like machine learning, data science, and scientific research to handle uncertainty and make predictions.
What are the key skills and qualifications needed to thrive as a probabilistic programming Bayesian specialist?
To thrive as a Probabilistic Programming Bayesian specialist, you need a strong background in statistics, probability theory, and Bayesian inference, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with probabilistic programming languages (such as Stan, PyMC, or TensorFlow Probability) and familiarity with statistical modeling software are also essential. Analytical thinking, problem-solving, and effective communication skills help translate complex models into actionable insights and collaborate with interdisciplinary teams. These skills and qualities are crucial for developing robust, interpretable models that inform decision-making in research and industry applications.
What are the typical challenges faced by professionals working in probabilistic programming with a Bayesian focus, and how can they be addressed?
Professionals working in Probabilistic Programming with a Bayesian focus often encounter challenges related to model complexity, computational efficiency, and communicating results to non-technical stakeholders. Building accurate Bayesian models requires careful selection of priors and an understanding of underlying data distributions, which can be demanding without robust domain expertise. Additionally, computational demands can be high, especially for large datasets or complex hierarchical models, making efficient sampling and approximation methods essential. Collaborating closely with domain experts and leveraging modern probabilistic programming frameworks can help address these challenges and ensure practical, interpretable results.
What is the difference between Probabilistic Programming Bayesian vs Data Scientist?
| Aspect | Probabilistic Programming Bayesian | Data Scientist |
|---|---|---|
| Required credentials | Background in statistics, probability, programming | Statistics, computer science, or related degree |
| Work environment | Research, modeling, algorithm development | Data analysis, visualization, business insights |
| Industry usage | AI, machine learning, research projects | Business, finance, tech, healthcare |
Probabilistic Programming Bayesian focuses on developing models using Bayesian methods and probabilistic programming languages, often in research or AI development. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require statistical knowledge, Bayesian programmers specialize in probabilistic modeling, whereas Data Scientists apply a broader set of data analysis techniques.
What are popular job titles related to Probabilistic Programming Bayesian jobs in Washington, DC?
For Probabilistic Programming Bayesian jobs in Washington, DC, the most frequently searched job titles are:
- Junior Machine Learning Engineer
- Contract Machine Learning Engineer
- Machine Learning Engineer From Home
- Machine Learning Engineer New Grad
- Senior Machine Learning Engineer Biotech
- Machine Learning Engineer Apprenticeship
- Internship Edge Ai Machine Learning
- Google Cloud Machine Learning Engineer
- Senior Machine Learning Engineer
- Volunteer Large Language Model Llm
What job categories do people searching Probabilistic Programming Bayesian jobs in Washington, DC look for?
The top searched job categories for Probabilistic Programming Bayesian jobs in Washington, DC are:
- Machine Learning
- Artificial Intelligence Machine Learning
- Machine Learning Visa Sponsorship
- Nlp Practitioner
- Artificial Intelligence Machine Learning Engineer
- Freelance Machine Learning
- Director Google Machine Learning Engineer
- Senior Meta Machine Learning
- Home Based Nvidia Machine Learning
- Junior Machine Learning
Job description
Job Summary:
1872 Consulting is looking for a talented and creative Machine Learning Engineer to support the development and operation of Spectra AI, a cutting-edge AI/Client Platform. The role involves designing and implementing machine learning solutions, particularly in Natural Language Processing, to enhance the effectiveness of Spectra AI and support the automated monitoring mission.
Responsibilities:
• Design and implement machine learning and statistical solutions that can extract geospatial information from natural language.
• Adapt state of the art NLP research into production models.
• Provide insight into methods that use NLP to further enhance the effectiveness of Spectra AI.
• Use Natural Language Processing and related statistical methods to solve customer specific problems.
• Collaborate with software developers to plan and construct the model deployment architecture.
Qualifications:
Required:
• 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing
• Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field
• Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
• Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.
• Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.
• Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow.
• Experience performing research collaboratively and independently with a history of implementing algorithms directly from research papers.
• Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.
• US Citizenship Required.
Preferred:
• 8+ years of hands-on experience as a machine learning engineer or data scientist.
• Ph.D./Master's degree in the previously mentioned fields.
• Experience working with remote sensing data, ideally satellite imagery.
• An understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards.
• Exposure to Probabilistic Programming, including open source libraries such as PyMC3, PyMC4, Edward, Stan, and/or TensorFlow Probability
• Experience with Attention based NLP models such as BERT (and BERT derivatives) and GPT-2/3
• Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3).
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
1872 Consulting is looking for a talented and creative Machine Learning Engineer to support the development and operation of Spectra AI, a cutting-edge AI/Client Platform. The role involves designing and implementing machine learning solutions, particularly in Natural Language Processing, to enhance the effectiveness of Spectra AI and support the automated monitoring mission.
Responsibilities:
• Design and implement machine learning and statistical solutions that can extract geospatial information from natural language.
• Adapt state of the art NLP research into production models.
• Provide insight into methods that use NLP to further enhance the effectiveness of Spectra AI.
• Use Natural Language Processing and related statistical methods to solve customer specific problems.
• Collaborate with software developers to plan and construct the model deployment architecture.
Qualifications:
Required:
• 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing
• Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field
• Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
• Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.
• Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.
• Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow.
• Experience performing research collaboratively and independently with a history of implementing algorithms directly from research papers.
• Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.
• US Citizenship Required.
Preferred:
• 8+ years of hands-on experience as a machine learning engineer or data scientist.
• Ph.D./Master's degree in the previously mentioned fields.
• Experience working with remote sensing data, ideally satellite imagery.
• An understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards.
• Exposure to Probabilistic Programming, including open source libraries such as PyMC3, PyMC4, Edward, Stan, and/or TensorFlow Probability
• Experience with Attention based NLP models such as BERT (and BERT derivatives) and GPT-2/3
• Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3).
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
About 1872 Consulting
Sourced by ZipRecruiter
1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Chicago, IL, US
Year founded
2014