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Applied Math Jobs in Los Angeles, CA (NOW HIRING)

General Matter

Applied AI Engineer

Los Angeles, CA · On-site

Required : • 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 ...

General Matter

Applied AI Engineer

Los Angeles, CA

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

Alutiiq

Operations Research Analyst

El Segundo, CA · On-site

$215K - $250K/yr

Citizenship Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Systems Engineering, Physics, Industrial Engineering, or a closely related discipline Minimum 15 years of ...

HighTech LA

High School Math Teacher

Van Nuys, CA · On-site

$65K - $111K/yr

What did you learn from that experience and how have you applied that to your current teaching? Requirements for Applying Requirements: Single Subject Credential, Ability to teach all levels of Math ...

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All JobsApplied Math JobsApplied Math Jobs in Los Angeles, CA

Applied Math information

See Los Angeles, CA salary details

$24.2K

$63.4K

$101.8K

How much do applied math jobs pay per year?

As of Aug 6, 2026, the average yearly pay for applied math in Los Angeles, CA is $63,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $75,400.00 per year, depending on experience, location, and employer.

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.

What jobs can you get with applied math?

Applied math graduates can pursue careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical and mathematical modeling. Many positions are found in finance, technology, healthcare, and government sectors.

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.

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 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.

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 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 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 popular job titles related to Applied Math jobs in Los Angeles, CA? For Applied Math jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Los Angeles, CA look for? The top searched job categories for Applied Math jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Applied Math jobs? Cities near Los Angeles, CA with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Los Angeles, CA as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $63,398 per year, or $30.5 per hour.

Applied AI Engineer

General Matter

Los Angeles, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
General Matter is a company focused on enriching uranium and restoring America's ability to produce nuclear fuel. They are seeking an Applied AI Engineer to accelerate engineering workflows by leveraging modern AI techniques to identify bottlenecks and build tools that enhance efficiency.
Responsibilities:
• 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.
Qualifications:
Required:
• 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:
• 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.
Company:
General Matter is a nuclear energy company that produces enriched uranium fuel for nuclear energy applications. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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