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 ...
Lead Software Engineer - Circuit Simulation R&D
San Jose, CA · On-site +1
$114K - $213K/yr
Statistical inference: significance testing (p-values, confidence intervals), Bayesian statistics, design of experiments, Monte Carlo methods (random sampling, density estimation). * Rare-event and ...
Lead Software Engineer - Circuit Simulation R&D
San Jose, CA · On-site +1
$114K - $213K/yr
Statistical inference: significance testing (p-values, confidence intervals), Bayesian statistics, design of experiments, Monte Carlo methods (random sampling, density estimation). * Rare-event and ...
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 ...
Principal Software Engineer - Circuit Simulation R&D
San Jose, CA · On-site
$136K - $253K/yr
Statistical inference: significance testing (p-values, confidence intervals), Bayesian statistics, design of experiments, Monte Carlo methods (random sampling, density estimation). * Rare-event and ...
Principal Software Engineer - Circuit Simulation R&D
San Jose, CA · On-site
$136K - $253K/yr
Statistical inference: significance testing (p-values, confidence intervals), Bayesian statistics, design of experiments, Monte Carlo methods (random sampling, density estimation). * Rare-event and ...
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 ...
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 ...
... Bayesian inference, mixed-effects models, ANOVA) Develop and validate perceptual simulation pipelines that predict visual appearance under varying display configurations, ambient conditions, and ...
... Bayesian inference, mixed-effects models, ANOVA) Develop and validate perceptual simulation pipelines that predict visual appearance under varying display configurations, ambient conditions, and ...
Quantitative Geneticist
San Francisco, CA · On-site
... with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. • Familiarity with decision theory and online ...
Quantitative Geneticist
San Francisco, CA · On-site
... with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. • Familiarity with decision theory and online ...
... Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions. • Build and own scalable ...
... Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions. • Build and own scalable ...
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 ...
Senior Applied Scientist
San Francisco, CA · On-site
$107K - $147K/yr
You will bring deep expertise in multi-sensor fusion, Bayesian estimation, and Kalman filtering - paired with a strong command of modern learning-based tracking methods - to build systems that are ...
Senior Applied Scientist
San Francisco, CA · On-site
$107K - $147K/yr
You will bring deep expertise in multi-sensor fusion, Bayesian estimation, and Kalman filtering - paired with a strong command of modern learning-based tracking methods - to build systems that are ...
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 ...
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 ...
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 ...
Online learning, bandits, RL, Bayesian methods * Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus-even if not recent. * Proficient in ...
Online learning, bandits, RL, Bayesian methods * Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus-even if not recent. * Proficient in ...
Manger, Modeling Insights
$90K - $100K/yr
Build and maintainstatistical, Bayesian, and machine learning modelsfor use cases including lead scoring, customer retention, demand forecasting, and segmentation. * ApplyBayesian and probabilistic ...
Manger, Modeling Insights
$90K - $100K/yr
Build and maintainstatistical, Bayesian, and machine learning modelsfor use cases including lead scoring, customer retention, demand forecasting, and segmentation. * ApplyBayesian and probabilistic ...
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 9, 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:
$147K - $272K/yr
Full-time
Medical, Dental, Retirement
Posted 14 days ago
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Develop and improve multi-sensor navigation technology as a location estimation engineer. Craft the next generation of location-aware mobile experiences by working on state-of-the-art technologies to seamlessly integrate people’s digital and physical lives. Are you passionate about building technology that will make a difference? Do you flourish with good creative challenges? Do you love attention to detail? If so, we might just be the team for you.
Description
Here at Apple, we build devices and services that enrich our customers’ lives. In the location technologies group, we help people connect: with each other, and with our planet. We reach more than a billion people. We help them find their way, and we help them find each other. We help them stay healthy, and sometimes we even save their lives. What we do and how we do it makes a difference. Join our team, and we’ll help you do the best work of your life.
If you join our team, you’ll research, design, develop, debug, and support location estimation software. You’ll also collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families. You’ll work with customers of location, both internal and external, to make best use of your work to support their applications.
Preferred Qualifications
Interested in location technologies and eager to experiment with state-of-the-art techniques
Good collaborator and communicator
Proficient in GPS / GNSS / radionavigation theory and technology
Experience with inertial navigation systems, visual localization, or other positioning techniques
Familiarity with machine learning
Comfortable implementing complex mathematical algorithms
Minimum Qualifications
Graduate degree in Engineering, Computer Science or a related field or a Bachelor’s degree with equivalent experience in positioning and Bayesian estimation.
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 concepts and design patterns
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Description
Here at Apple, we build devices and services that enrich our customers’ lives. In the location technologies group, we help people connect: with each other, and with our planet. We reach more than a billion people. We help them find their way, and we help them find each other. We help them stay healthy, and sometimes we even save their lives. What we do and how we do it makes a difference. Join our team, and we’ll help you do the best work of your life.
If you join our team, you’ll research, design, develop, debug, and support location estimation software. You’ll also collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families. You’ll work with customers of location, both internal and external, to make best use of your work to support their applications.
Preferred Qualifications
Interested in location technologies and eager to experiment with state-of-the-art techniques
Good collaborator and communicator
Proficient in GPS / GNSS / radionavigation theory and technology
Experience with inertial navigation systems, visual localization, or other positioning techniques
Familiarity with machine learning
Comfortable implementing complex mathematical algorithms
Minimum Qualifications
Graduate degree in Engineering, Computer Science or a related field or a Bachelor’s degree with equivalent experience in positioning and Bayesian estimation.
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 concepts and design patterns
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976