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Internship Bayesian Jobs (NOW HIRING)

Costello Medical

Statistician Intern

Boston, MA · On-site

$26 - $32/hr

... and Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of ...

Costello Medical

Statistician Intern

Boston, MA · On-site

$26 - $32/hr

... and Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of ...

Costello Medical

Statistician Intern

Boston, MA · On-site +1

$26 - $32/hr

... and Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of ...

Cytel

Senior Director, Real World Evidence

Cambridge, MA · On-site +1

Can converse on advanced RWE methods such as causal inference and Bayesian methods with the support ... This includes hiring and training staff and developing internship and training programs. * Develop ...

WEX, Inc.

PhD Intern - AI/ML/NLP Engineer

$35 - $43/hr

This is a project-based internship. You will be paired with a dedicated mentor and given a high ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...

eNett

OR · On-site

$35 - $43/hr

This is a project-based internship. You will be paired with a dedicated mentor and given a high ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...

WEX

OR

$35 - $43/hr

This is a project-based internship. You will be paired with a dedicated mentor and given a high ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...

Fujitsu

Research Intern - GHAI-3

Santa Clara, CA · On-site

The internship duration is 3 months. Job responsibilities Building on an existing AIS-based ... Use TimeSeriesSplit cross-validation and Bayesian hyperparameter tuning (Optuna) to ensure causal ...

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How much do internship bayesian jobs pay per hour?

As of May 30, 2026, the average hourly pay for internship bayesian in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bayesian Internship, and why are they important?

To thrive in a Bayesian Internship, you need a solid background in statistics, probability theory, and data analysis, typically supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with programming languages such as Python or R, and experience with statistical software and Bayesian modeling tools (e.g., Stan, PyMC) are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with research teams. These skills are essential for accurately applying Bayesian methods to real-world data and effectively communicating insights.

What are some common challenges interns face when working on Bayesian analysis projects, and how can they overcome them?

Interns working on Bayesian analysis projects often encounter challenges such as understanding complex statistical principles, learning new software (like Stan or PyMC), and interpreting probabilistic results. To overcome these obstacles, it's helpful to actively seek guidance from mentors, participate in team discussions, and utilize available learning resources. Collaborating closely with experienced team members and regularly reviewing project code and results can accelerate learning and help interns gain confidence in applying Bayesian methods to real-world problems.

What is an Internship in Bayesian analysis?

An Internship in Bayesian analysis is a temporary, practical position focused on applying Bayesian statistical methods to real-world problems. Interns typically work under the supervision of experienced data scientists or statisticians, assisting with research, data modeling, and computational analysis using Bayesian techniques. These internships are valuable for students or recent graduates looking to gain hands-on experience in probabilistic modeling, data analysis, and statistical inference. Such internships often require a strong mathematical background and familiarity with programming languages like Python or R.

What is the difference between Internship Bayesian vs Data Analyst Intern?

AspectInternship BayesianData Analyst Intern
Required CredentialsRelevant coursework in Bayesian statistics, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentResearch-focused, collaborative teams in tech or research firmsBusiness or tech companies, data-driven projects
Employer & Industry UsageUsed in research, AI, machine learning sectorsCommon in finance, marketing, tech industries
Search & Comparison IntentUnderstanding roles involving Bayesian methodsExploring data analysis internship opportunities

Internship Bayesian typically involves applying Bayesian statistical methods in research or AI projects, requiring knowledge of Bayesian theory and programming. Data Analyst Internships focus on analyzing datasets, creating reports, and supporting business decisions. While both roles involve data skills, Internship Bayesian emphasizes probabilistic modeling, whereas Data Analyst Internships focus on data visualization and reporting.

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What cities are hiring for Internship Bayesian jobs? Cities with the most Internship Bayesian job openings:
What are the most commonly searched types of Bayesian jobs? The most popular types of Bayesian jobs are:
What states have the most Internship Bayesian jobs? States with the most job openings for Internship Bayesian jobs include:
What job categories do people searching Internship Bayesian jobs look for? The top searched job categories for Internship Bayesian jobs are:
Internship Bayesian jobs near you
Infographic showing various Internship Bayesian job openings in the United States as of May 2026, with employment types broken down into 65% Internship, 9% As Needed, 7% Full Time, 11% Temporary, 7% Contract, and 1% Summer. Highlights an 30% Physical, 58% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Research Intern - Bayesian Methods in Geometric Computer Vision

Research Intern - Bayesian Methods in Geometric Computer Vision

Microsoft

Redmond, WA • On-site

$8.76K - $14.36K/mo

Internship

Posted 9 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

46th of 183 rated software companies

Job description

Overview
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
Traditional methods in geometric computer vision, which are still the go-to techniques for robot navigation, three-dimensional (3D) scene reconstruction, and the real-time generation of Augmented Reality/Virtual Reality (AR/VR) assets, are based on frequentist statistical methods, in particular maximum likelihood estimation. The goal of this Research Internship is to develop a basis for the application of Bayesian methods in geometric computer vision, starting with the fundamental problem of 2D and 3D point matching. Candidates should have research-level knowledge of two of the three following topics (and, if required, the drive to learn the third), demonstrated through publications or explicit direction of their PhD work:
Geometric computer vision, including:
  • The pinhole camera model, homographies, essential and fundamental matrix;
  • three-dimensional point triangulation and iterative closest-point methods.
  • Associated statistical methods such as RANSAC and maximum likelihood estimation;
  • estimation of geometric and algebraic errors associated with geometric parameters of interest.

Bayesian statistical theory, including:
  • Jeffreys' and uniform priors;
  • exact and approximate marginalization techniques;
  • nuisance parameters and outliers from a Bayesian perspective.

Rigorous methods in approximation theory, including:
  • Polynomial randomized approximation algorithms;
  • computational complexity classes;
  • approximation methods for discrete problems.

Note that heuristic and learning-based methods are outside the scope of the work. Execution of the Research Internship plan will require efficient implementation of approximation algorithms in the context of one or more problems in geometric computer vision, and the benchmarking of the results against competing methods. Therefore, ability to produce efficient code in Python or C++ is a must.
The Research Internship has the explicit goal of producing a high-quality technical report, which, if the work is successful, will be submitted to an appropriate publication venue.
Responsibilities
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Qualifications
Required Qualifications
  • Currently enrolled in a PhD program in Mathematics, Statistics, Computer Science or a related STEM field.
  • Completed graduate coursework in at least two of the three topics:
    • Geometric computer vision;
    • Probability and statistics, covering Bayesian theory;
    • Approximation algorithms and computational complexity classes.

Other Requirements
  • Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications
  • Proficiency in the implementation of efficient algorithms, demonstrated by published algorithms or samples of open-source code.
  • Demonstrated ability to understand algorithm benchmarks and evaluation.
  • Experience with writing technical reports and scientific publications.
  • Willingness to learn new topics without being daunted by a steep learning curve.

The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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