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Applied Math Jobs in California (NOW HIRING)

General Matter

Applied AI Engineer

Los Angeles, CA · On-site

Basic Qualifications * BS or higher in engineering, physics, chemistry, applied math, or related technical field. * Proficiency in Python and software engineering fundamentals. * Experience building ...

General Matter

Applied AI Engineer

Los Angeles, CA · On-site

Basic Qualifications * BS or higher in engineering, physics, chemistry, applied math, or related technical field. * Proficiency in Python and software engineering fundamentals. * Experience building ...

LinkedIn

Senior Applied Scientist

Mountain View, CA · On-site

$144K - $236K/yr

Doctorate in Statistics, Biostatistics, Applied Mathematics, Engineering, Operations Research, Economics, Informatics, Computer Science, Data Science or related field. * BS and 5+ years of relevant ...

LinkedIn

Senior Applied Scientist

Mountain View, CA · On-site +1

$144K - $236K/yr

Doctorate in Statistics, Biostatistics, Applied Mathematics, Engineering, Operations Research, Economics, Informatics, Computer Science, Data Science or related field. * BS and 5+ years of relevant ...

Capital One

Applied Researcher II

San Jose, CA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher II

San Francisco, CA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

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All JobsApplied Math JobsApplied Math Jobs in California

Applied Math information

See California salary details

$22.2K

$58.1K

$93.3K

How much do applied math jobs pay per year?

As of Aug 17, 2026, the average yearly pay for applied math in California is $58,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $69,100.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in California?

For Applied Math jobs in California, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in California look for?

The top searched job categories for Applied Math jobs in California are:

What cities in California are hiring for Applied Math jobs?

Cities in California with the most Applied Math job openings:

Applied Math jobs near you
Infographic showing various Applied Math job openings in California as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $58,067 per year, or $27.9 per hour.

Applied AI Engineer

General Matter

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago

Job description

About the company
General Matter enriches uranium.
We are designing, building, and operating the world's lowest-cost enrichment services, here in the US.
In the process, we are restoring America's ability to produce nuclear fuel to power AI, advanced manufacturing and critical industries our country relies on to remain competitive.
Fuel drives the cost of advanced reactor electricity production, and enrichment drives the cost of the fuel that advanced reactors consume. Reliable, low-cost enrichment is the catalyst for the nuclear Renaissance now under way.
Our mission is to make nuclear not only the cleanest and safest source of baseload power, but also the most affordable. We believe abundant nuclear energy will lead to a post-scarcity society.
We were incubated inside Founders Fund, like Anduril and Palantir before us, and are backed by over a dozen of the world's top venture capital firms.
Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production.
We are a mission-driven company with a culture of urgency, accountability, and transparency.
Help us build a high-energy society by making the cleanest, safest form of baseload energy the most affordable.
About This Role
General Matter has a massive body of critical-path engineering work ahead - nuclear licensing, integrated safety analysis, design criteria, technoeconomic modeling. Conventional timelines for this work are too slow. We believe there is an opportunity to reinvent every single engineering workflow using modern AI.
The Applied AI team embeds with engineering teams across the company with a single focus: make existing engineering workflows significantly faster. You identify the bottleneck, build the tool, and move to the next problem.
This is an opportunity to define what AI-first engineering looks like at a nuclear company. The nuclear industry has done things the same way for decades. Assumptions that everyone takes for granted - "this analysis requires a PhD specialist," "this document takes three months to draft," "this review has to be fully manual" - are all open questions now. You get to challenge every one of them, across every team.
We are open to multiple levels for this role.
Responsibilities
The core mission of this team is to accelerate engineering. Some of the projects we've worked on include:
  • Building AI tooling so that every engineer can run complex safety and physics analyses before design reviews, without waiting on a specialist.
  • Automating legacy simulation workflows so engineers can run neutronics with a config file instead of learning decades-old codes from scratch.
  • Integrating with internal tools- tickets, design-tree, file management- and building agents that handle triage, routing, and prioritization automatically.

Basic Qualifications
  • BS or higher in engineering, physics, chemistry, applied math, or related technical field.
  • Proficiency in Python and software engineering fundamentals.
  • Experience building tools or workflows using LLMs, AI agents, or modern AI techniques

Preferred Skills and Experience
  • Engineer who codes. You studied a hard STEM field: physics, chemistry, mechanical, electrical, nuclear, math. You can follow a technical conversation with a domain expert and know which parts of their workflow are automatable before they do. You write clean, production-grade Python.
  • Versatile engineering fundamentals. This role requires mastering many different fields quickly: neutronics, integrated safety, data, manufacturing. You don't need to be the expert. You need to get fluent enough, fast enough, to build something useful.
  • AI fluency. You genuinely enjoy using AI to solve problems - RAG, tool-use architectures. You're constantly thinking about how to apply AI to reinvent or restructure existing workflows.
  • Ships proactively. You don't wait for a spec, a roadmap, or permission. You see the bottleneck, propose the approach, and show off prototypes before you're asked.

Additional Requirements
  • Ability to work extended hours and weekends as necessary.

Equal Opportunity Employer
General Matter is an Equal Opportunity Employer; employment with General Matter is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Compensation and Benefits
The base salary range for this role is $100,000-$200,00 annually.
Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.
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