Responsibilities : • Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian ...
Responsibilities : • Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian ...
Data Scientist
Mountain View, CA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Data Scientist
Mountain View, CA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior ML Engineer, LLM / VLM Distillation
Mountain View, CA · Hybrid
$123K - $169K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Senior ML Engineer, LLM / VLM Distillation
Mountain View, CA · Hybrid
$123K - $169K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Proficient in Bayesian estimation concepts and Kalman filtering Proficient in statistics concepts and statistical data analysis Proficient in C++ Familiar with modern object-oriented programming ...
Proficient in Bayesian estimation concepts and Kalman filtering Proficient in statistics concepts and statistical data analysis Proficient in C++ Familiar with modern object-oriented programming ...
Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling). * Comfort operating with limited data - capable of building and validating proxy-based models. * Blend of ...
Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling). * Comfort operating with limited data - capable of building and validating proxy-based models. * Blend of ...
Sr. Analyst, Product Analytics
San Mateo, CA · Hybrid
$175K - $248K/yr
... Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure ...
Sr. Analyst, Product Analytics
San Mateo, CA · Hybrid
$175K - $248K/yr
... Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure ...
Advanced math skills (linear algebra, Bayesian statistics, group theory). * Ability to consistently exercise independent discretion and judgment on significant matters. * Strong analytical, problem ...
Advanced math skills (linear algebra, Bayesian statistics, group theory). * Ability to consistently exercise independent discretion and judgment on significant matters. * Strong analytical, problem ...
Sr. Analyst, Product Analytics
San Mateo, CA · On-site
$175K - $248K/yr
... Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure ...
Sr. Analyst, Product Analytics
San Mateo, CA · On-site
$175K - $248K/yr
... Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure ...
Senior Research Engineer
Santa Clara, CA · On-site
$200K/yr
Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization, and related statistical techniques * Prototype, evaluate, and refine algorithms using large-scale ...
Quick apply
Senior Research Engineer
Santa Clara, CA · On-site
$200K/yr
Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization, and related statistical techniques * Prototype, evaluate, and refine algorithms using large-scale ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration. * Optimization, sampling, amortized ...
Research Scientist - Frontier AI/ML & Quantum Algorithms
San Francisco, CA · On-site
$200K - $300K/yr
Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration. * Optimization, sampling, amortized ...
Associate Specialist
San Francisco, CA · On-site
Experience in Bayesian statistics, machine learning/artificial intelligence algorithms, and other commonly applied techniques in the statistical -omics data analysis * Expertise in large scale data ...
Associate Specialist
San Francisco, CA · On-site
Experience in Bayesian statistics, machine learning/artificial intelligence algorithms, and other commonly applied techniques in the statistical -omics data analysis * Expertise in large scale data ...
Apply specialized methods appropriate for small N studies including Bayesian frameworks, adaptive designs, n-of-1 elements, and natural history benchmarking. Proactively identify and mitigate risks ...
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Apply specialized methods appropriate for small N studies including Bayesian frameworks, adaptive designs, n-of-1 elements, and natural history benchmarking. Proactively identify and mitigate risks ...
Senior Research Engineer
Santa Clara, CA · On-site
$121K - $167K/yr
Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization, and related statistical techniques * Prototype, evaluate, and refine algorithms using large-scale ...
Senior Research Engineer
Santa Clara, CA · On-site
$121K - $167K/yr
Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization, and related statistical techniques * Prototype, evaluate, and refine algorithms using large-scale ...
Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and ...
Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and ...
Experience with Bayesian networks or probabilistic modeling. * Experience with uncertainty quantification techniques, such as Bayesian Inference, Monte Carlo simulation. * Experience with building ...
Experience with Bayesian networks or probabilistic modeling. * Experience with uncertainty quantification techniques, such as Bayesian Inference, Monte Carlo simulation. * Experience with building ...
Data Scientist
San Francisco, CA · Remote
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
Data Scientist
San Francisco, CA · Remote
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to ...
Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to ...
Senior Data Scientist
San Francisco, CA · On-site
... • Bayesian hypothesis testing • Understanding how teams run experiments • B2B Experimentation • Innovating and implementing machine learning and data mining algorithms on distributed ...
Senior Data Scientist
San Francisco, CA · On-site
... • Bayesian hypothesis testing • Understanding how teams run experiments • B2B Experimentation • Innovating and implementing machine learning and data mining algorithms on distributed ...
Data Scientist
San Francisco, CA · On-site +1
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
Data Scientist
San Francisco, CA · On-site +1
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
Head of Materials AI
$227K - $340K/yr
Multi-year transformation portfolio spanning AI co-scientists, Bayesian optimization, ML-based simulation, lab digitization, and ELN infrastructure across all global R&D sites * Annual program budget ...
Head of Materials AI
$227K - $340K/yr
Multi-year transformation portfolio spanning AI co-scientists, Bayesian optimization, ML-based simulation, lab digitization, and ELN infrastructure across all global R&D sites * Annual program budget ...
Bayesian information
See California salary details
$146.4K - $148.4K
7% of jobs
$148.4K - $150.3K
10% of jobs
$152K is the 25th percentile. Wages below this are outliers.
$150.3K - $152.3K
10% of jobs
$152.3K - $154.2K
10% of jobs
$154.2K - $156.2K
10% of jobs
The median wage is $156.9K / yr.
$156.2K - $158.1K
10% of jobs
$158.1K - $160.1K
10% of jobs
$161.9K is the 75th percentile. Wages above this are outliers.
$160.1K - $162.1K
10% of jobs
$162.1K - $164K
10% of jobs
$164K - $166K
10% of jobs
$166K - $167.9K
4% of jobs
$146.4K
$156.7K
$167.9K
How much do bayesian jobs pay per year?
As of Jun 30, 2026, the average yearly pay for bayesian in California is $156,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,780.00 and $161,572.00 per year, depending on experience, location, and employer.
What are the typical projects or challenges faced in a Bayesian-focused role?
In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.
What is a Bayesian job?
A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.
What are the key skills and qualifications needed to thrive in the Bayesian position, and why are they important?
To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.
What are the most commonly searched types of Bayesian jobs in California? The most popular types of Bayesian jobs in California are:
What are popular job titles related to Bayesian jobs in California? For Bayesian jobs in California, the most frequently searched job titles are:
What job categories do people searching Bayesian jobs in California look for? The top searched job categories for Bayesian jobs in California are:
What cities in California are hiring for Bayesian jobs? Cities in California with the most Bayesian job openings:
Key responsibilities
Conducts fundamental research to create new machine learning models or training methods in various technology areas.
Drives systems innovations for model efficiency advancement on device and in the cloud, including auto-ML methods for efficient model creation and optimization.
Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods aligned with research strategies.
Qualcomm rating
9.6
Based on 5 frontline employees who took The Breakroom Quiz
5th of 202 rated software companies
Job description
Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Senior Machine Learning Researcher, you will conduct fundamental research to develop innovative machine learning methodologies and collaborate with cross-functional teams to enhance various products through machine learning research.
Responsibilities:
• Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
• Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto-ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
• Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning).
• Develops and publishes research findings in the form of presentations and conference papers.
• Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
• Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Qualifications:
Required:
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred:
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ publications at a machine learning conference.
• 2+ years of experience working in a large matrixed organization.
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
• 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Senior Machine Learning Researcher, you will conduct fundamental research to develop innovative machine learning methodologies and collaborate with cross-functional teams to enhance various products through machine learning research.
Responsibilities:
• Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
• Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto-ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
• Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning).
• Develops and publishes research findings in the form of presentations and conference papers.
• Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
• Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Qualifications:
Required:
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred:
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ publications at a machine learning conference.
• 2+ years of experience working in a large matrixed organization.
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
• 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Qualcomm
Sourced by ZipRecruiter
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Diego, CA, US
Year founded
1985