ZipRecruiter

Log In

1

Probabilistic Programming Bayesian Jobs in Boston, MA

MORSE Corp

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver ... Develop and implement advanced probabilistic models to identify limitations within AI models and ...

Motional

Principal Engineer Motion Planning

Boston, MA

$240K - $330K/yr

Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden ... Experience with machine learning techniques (such as Bayesian modeling and inference techniques ...

Motional

Principal Engineer Motion Planning

Boston, MA · On-site +1

$240K - $330K/yr

Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden ... Experience with machine learning techniques (such as Bayesian modeling and inference techniques ...

AI Chopping Block

Software Engineer, Rust

Waltham, MA · On-site

$146 - $194/hr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Anduril Industries

Software Engineer, Rust

Waltham, MA · On-site

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Slope

Software Engineer, Rust

Waltham, MA · On-site

$146 - $194/hr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Slope

Senior Software Engineer, Rust

Waltham, MA · On-site

$220 - $292/hr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Anduril Industries

Senior Software Engineer, Rust

Waltham, MA · On-site

$132K - $174K/yr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

next page

Showing results 1-20

All JobsProbabilistic Programming Bayesian JobsProbabilistic Programming Bayesian Jobs in Boston, MA

Probabilistic Programming Bayesian information

See Boston, MA salary details

$166.8K

$304.4K

$373.7K

How much do probabilistic programming bayesian jobs pay per year?

As of Aug 25, 2026, the average yearly pay for probabilistic programming bayesian in Boston, MA is $304,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $283,000.00 and $350,400.00 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?

AspectProbabilistic Programming BayesianData Scientist
Required credentialsBackground in statistics, probability, programmingStatistics, computer science, or related degree
Work environmentResearch, modeling, algorithm developmentData analysis, visualization, business insights
Industry usageAI, machine learning, research projectsBusiness, 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 Boston, MA?

For Probabilistic Programming Bayesian jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Probabilistic Programming Bayesian jobs in Boston, MA look for?

The top searched job categories for Probabilistic Programming Bayesian jobs in Boston, MA are:

Probabilistic Programming Bayesian jobs near you
Infographic showing various Probabilistic Programming Bayesian job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $304,352 per year, or $146.3 per hour.

Bayesian Data Scientist

Cambridge, MA • On-site

MORSE Corp
See more jobs at MORSE Corpexternal

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics, probabilistic modeling, data analysis, data science, and algorithm development in one or more of a variety of fields including generative AI, computer vision, , natural language processing, machine translation, time sequenced data, big data, and advanced metrics. You will join teams performing rigorous Test and Evaluation (T&E) of AI and machine learning systems to give national security customers insights into AI capabilities for solving real-world challenges. Your work will directly contribute to developing technologies that ensure responsible and effective AI deployments across the national security sector.
Responsibilities:
  • Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,
  • Develop and implement advanced probabilistic models to identify limitations within AI models and enhance their explainability.
  • Work with MORSE's current team of engineers to transition algorithms to software applications and real-time embedded systems.
  • Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.
  • Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results.
  • Present a path forward and solutions to solve complex data problems.
  • Research and identify new methods, from statistical techniques to AI-powered analyses, that analyze and best characterize the performance of in-development and deployed systems.
Requirements:
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
  • Masters or Ph.D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field
  • 5+ years of experience in Data Science or Analysis
  • Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods
  • Proficiency in one or more programming languages like Python, Matlab, C, or C++
  • Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations
  • Good communication skills
  • Self-starter and driven
  • Prior experience in defense is a plus

MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an "unlimited" paid leave policy.
Compensation
$90,000-$210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.

Apply