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Bayesian Phd Jobs in Seattle, WA (NOW HIRING)

Think Tank, Inc.

Statistician

Seattle, WA · On-site

Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience ...

Think Tank, Inc.

Statistician

Seattle, WA

Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred. * Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience ...

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

... Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical ... PhD preferred) in statistics, mathematics, economics, operations research, computer science, or ...

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Bayesian Phd information

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.

What are the key skills and qualifications needed to thrive as a Bayesian PhD?

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

What are popular job titles related to Bayesian Phd jobs in Seattle, WA?

For Bayesian Phd jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Bayesian Phd jobs in Seattle, WA look for?

The top searched job categories for Bayesian Phd jobs in Seattle, WA are:

Bayesian Phd jobs near you
Infographic showing various Bayesian Phd job openings in Seattle, WA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Research Scientist - Auditory Perception (PhD)

Computationalaudiology

Redmond, WA • On-site

$140 - $230/hr

Other

Posted 4 days ago

Job description

Research Scientist - Auditory Perception (PhD)

Reality Labs Research (RLR) brings together a world-class team of researchers, developers, and engineers to create the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. The audio team within RLR is looking for an experienced, innovative hearing research scientist with a specialty in machine learning to join our growing team in Redmond, WA. You will be leading and conducting research on spatial audio perception, quality, and modeling as part of a growing team of scientists, researchers, post‑docs, and PhD student interns.


Responsibilities

  • Conduct research to advance the science and technology of audio perception

  • Develop training/validation/testing pipelines to generate robust models for high-dimensional spatial audio and/or human auditory perception

  • Design and conduct listening tests and other perceptual experiments with human participants

  • Develop novel computational approaches to solve complex research problems in the areas of spatial audio and/or human auditory perception

  • Collaborate with and support other research scientists and engineers within the audio team and the larger RLR organization

  • Influence progress of relevant research communities by producing publications

  • Contribute research that can be applied to Meta product development

  • Lead and collaborate on research projects with external academic groups to advance our research goals


Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  • Currently has, or is in the process of obtaining, a PhD in Experimental Psychology, Audio Engineering, Acoustics, Machine Learning, Computer Science, Computer Engineering, Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception or a related field

  • 2+ years experience with development and implementation of audio processing methods

  • 3+ years experience with scientific programming languages such as MATLAB Python, C++, or similar

  • Experience with implementing Neural networks or Active learning or Deep Bayesian learning or Gaussian Process models or related approaches

  • Proven track record of communicating research in an academic or industrial setting

  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment


Preferred Qualifications

  • Experience with audio signal processing applied to spatial audio

  • Experience with auditory perception

  • Experience with building computational models on acoustic datasets

  • Proven track record of achieving significant results and innovation as demonstrated by first-authored publications and/or patents


About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.


Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy‑related support. If you need support, please reach out accommodations-ext@fb.com.

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