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Phd In Mathematics Jobs in Oregon (NOW HIRING)

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

PhD in a quantitative field of study such as statistics, econometrics, finance, mathematics; or a related discipline * 5+ years of experience in model risk management or model governance, or related ...

Distinguished Engineer - Wireless Infrastructure

OR · On-site +1

$107K - $140K/yr

MS or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience ... Strong understanding of mathematics behind RAN algorithms. Strong hands-on experience on ...

... Mathematics, Engineering) or equivalent practical experience. Preferred Qualifications * 8+ years of relevant experience; advanced degree (MS/PhD) in a quantitative discipline. * Experience building ...

MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience. 5+ years relevant work experience as a developer with a focus on GPU compute platforms ...

Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.

New

Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.

New

Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.

New

Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op.

New

What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our ... An MS or PhD in CS or a related field is desirable but optional. * Required Technical Expertise:

Senior Compiler Engineer - AI

OR · On-site +1

$122K - $161K/yr

What we need to see: BS/MS/PhD in Computer Science or a related field (or equivalent experience ... Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. Hands-on ...

MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience. 8+ years of work-related experience in data science or software development with knowledge of parallel ...

Showing results 41-60

Phd In Mathematics information

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

What are the key skills and qualifications needed to thrive as a PhD in Mathematics, and why are they important?

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

What is the difference between Phd In Mathematics vs Data Scientist?

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and research institutions, where advanced analytical and problem-solving skills are valued. Opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

Is a PhD in mathematics worth it?

A PhD in mathematics prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it can lead to high-level positions, it typically involves several years of study and may not guarantee higher salaries compared to other advanced degrees or industry experience.

What jobs can you get with a PhD in mathematics?

A PhD in mathematics qualifies individuals for roles such as research mathematician, data scientist, quantitative analyst, operations researcher, or university professor. These positions often require strong analytical, problem-solving, and programming skills, and may involve working in academia, finance, technology, or government agencies.

What job categories do people searching Phd In Mathematics jobs in Oregon look for?

The top searched job categories for Phd In Mathematics jobs in Oregon are:

What cities in Oregon are hiring for Phd In Mathematics jobs?

Cities in Oregon with the most Phd In Mathematics job openings:

Infographic showing various Phd In Mathematics job openings in Oregon as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Deep Learning Scientist, Multimodal Agentic RL

Nvidia

OR • On-site, Remote

Full-time

Posted 5 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA is widely regarded as one of the technology industry's most desirable employers. We lead the way in High-Performance Computing, Artificial Intelligence, and Visualization. Our core invention, the GPU, serves as the visual cortex of modern computers and powers our entire product suite.

GPU deep learning ignited the modern AI era-the next great computing age-with the GPU acting as the brain for everything from robots and autonomous cars to conversational AI. Today, we are known globally as "the AI computing company." We are looking to grow our teams by bringing in the smartest people in the world. Join us at the forefront of technological advancement

NVIDIA is hiring Senior Deep Learning Scientists to advance our efforts in streaming and agentic multimodal AI. You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse modalities. This is a chance to define core algorithmic improvements for multimodal foundation models, scaling your ideas through our Nemotron Omni and VoiceChat platforms.

You will work on high-impact, high-visibility large language models and multimodal AI products that improve the experience for millions of users. If you are creative and passionate about solving real-world agentic AI challenges, come join our Nemotron LLM team. For more details on Nemotron LLM, check https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/ What you'll be doing: Apply fundamental and applied research to develop, train, fine-tune, and deploy large language models for agentic systems encompassing audio-visual reasoning, tool usage, and document understanding

Advance post-training and alignment methods including instruction tuning, preference optimization, and RLHF/RLVR/MOPD to improve multimodal agents for complex use cases. Research and develop agentic reasoning and grounded perception capabilities, focusing on planning, tool execution, and long-horizon task completion across digital and physical environments. Lead the collection, development, and benchmarking of multimodal datasets, ensuring high-quality evaluation of model accuracy, safety, and task completion success.

What we need to see: Master's degree (or equivalent experience) or PhD in Computer Science, AI, or Applied Math with 8+ years of relevant work experience. Excellent programming skills in Python with strong fundamentals in scalable model development and deep learning frameworks like PyTorch. Strong knowledge of ML/DL techniques and modern foundation model architectures, including Transformers and mixture-of-experts models.

Foundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design. Hands-on experience in post-training multimodal models for omni-modality (audio-visual) reasoning, full-duplex voice chat, and human-AI interaction. Proven ability to manage model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines.

Ways to stand out from the crowd: Strong record of publications in top-tier AI and machine learning venues such as NeurIPS, ICML, ICLR, or CVPR. Validated experience training and deploying multimodal foundation models using large-scale distributed infrastructure. Experience applying deep reinforcement learning techniques to train multimodal agents in complex simulation or gaming environments.

Background in audio/speech AI, especially audio language models or audio generation. Background in building embodied AI systems that integrate multimodal perception with backend action-fulfillment and long-horizon planning. With highly competitive salaries and a comprehensive benefits package, NVIDIA is considered one of the industry's most desirable employers.

As you plan your future, see what we can offer you and your family at www.nvidiabenefits.com/. If you are a creative and autonomous engineer with a genuine passion for state-of-the-art technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions

The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 25, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US