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Bayesian Phd Jobs in California (NOW HIRING)

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159K - $238K/yr

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. • 6+ ... Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning ...

Federato Technologies

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

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. • 6+ ... Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning ...

Federato Technologies

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

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

Required : • 5-10 years experience of active development • PhD (or Master's degree with 2-5 ... Bayesian statistics and multivariate analysis • Experience with version control systems (e.g ...

MSD

Senior Specialist, Data Science

San Francisco, CA

$129K - $203K/yr

... years post-PhD or 3+ years post-MS experience developing and deploying AI/ML models * Hands-on ... Experience with probabilistic/Bayesian modeling, uncertainty quantification, or causal inference.

Pop-Up Talent

Senior Research Engineer

Santa Clara, CA · On-site

$200K/yr

Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization ... PhD in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or a related ...

Merck & Co.

$129K - $203K/yr

... years post-PhD or 3+ years post-MS experience developing and deploying AI/ML models Hands-on ... Experience with probabilistic/Bayesian modeling, uncertainty quantification, or causal inference.

Lyten, Inc.

Data Scientist, Sensors

San Jose, CA · On-site

$155K - $232K/yr

Apply statistical methods (including Bayesian inference) to quantify uncertainty, detection ... Advanced degree (MS/PhD) in atmospheric science, environmental sensing, or a relevant field, or ...

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Bayesian Phd information

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 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 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 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 popular job titles related to Bayesian Phd jobs in California?

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

What job categories do people searching Bayesian Phd jobs in California look for?

The top searched job categories for Bayesian Phd jobs in California are:

What cities in California are hiring for Bayesian Phd jobs?

Cities in California with the most Bayesian Phd job openings:

Bayesian Phd jobs near you

Machine Learning Researcher

Qualcomm

San Diego, CA • On-site

$159K - $238K/yr

Other

This job post has expired today. Applications are no longer accepted.

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description


Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Machine Learning Researcher

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Researcher, you will conduct fundamental research that creates innovative machine learning methodology that achieves beyond state-of-the-art performance. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research.

Minimum Qualifications:

• 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 Qualifications:

•    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.

Principal Duties and 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.

Level of Responsibility:  
•    Works independently with minimal supervision.

•    Decision-making may affect work beyond immediate work group.
•    Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. 

•    Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
•    Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$159,100.00 - $238,700.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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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

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