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Applied Math Jobs in Berkeley, CA (NOW HIRING)

Sidecar

Junior Business Analyst Engineer

San Francisco, CA · On-site

$31.25 - $41.75/hr

Qualifications * Bachelor's degree in applied math or science field, computer science. * Fluent in writing SQL queries (mySQL, PostgreSQL). * Experience with relational databases and query ...

Lightfield

Machine Learning Engineer

San Francisco, CA · On-site

$180K - $270K/yr

You have a BS or MS degree in CS, AI, or applied math * You have 5+ years of experience building AI/ML based products in NLP domains * You have a strong understanding of deep learning AI/ML ...

Skild AI

Physics Simulation Scientist

San Mateo, CA

MS or PhD in Physics, Robotics, Computer Science, Applied Math, Engineering, or a related field, or equivalent hands-on experience. * Strong track record working on physics engines or high-fidelity ...

Clipboard Health

Applied Scientist

San Francisco, CA · On-site

$160K - $225K/yr

Bachelor's degree in quantitative field: economics, statistics, engineering, mathematics, etc or commensurate practical experience. * Experience building and deploying quantitative models (in applied ...

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All JobsApplied Math JobsApplied Math Jobs in Berkeley, CA

Applied Math information

See Berkeley, CA salary details

$27.6K

$72K

$115.7K

How much do applied math jobs pay per year?

As of Jul 9, 2026, the average yearly pay for applied math in Berkeley, CA is $72,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,100.00 and $85,700.00 per year, depending on experience, location, and employer.

What are the highest paying jobs in applied mathematics?

High-paying jobs in applied mathematics include roles such as quantitative analyst, data scientist, operations research analyst, and financial engineer, often requiring strong programming skills and advanced degrees. These positions typically offer salaries exceeding $100,000 annually, especially in finance, technology, and consulting industries.

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 work with tools like programming languages and statistical software, and the degree provides a strong foundation for various technical roles.

What jobs can you get with an applied maths degree?

Applied mathematics graduates can pursue roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools in various industries like finance, technology, or healthcare.

What are applied math careers?

Applied math careers involve using mathematical methods and models to solve real-world problems across industries such as finance, engineering, data analysis, and technology. Professionals in this field often work with programming tools, statistical software, and data analysis techniques to develop solutions and support decision-making.

What are applied mathematicians?

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 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 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 Berkeley, CA? For Applied Math jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Berkeley, CA look for? The top searched job categories for Applied Math jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Applied Math jobs? Cities near Berkeley, CA with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Berkeley, CA as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $72,043 per year, or $34.6 per hour.
Applied Mathematics Specialist - Fully Remote | Upto $100/hr

Applied Mathematics Specialist - Fully Remote | Upto $100/hr

Mercor

San Francisco, CA • Remote

$100/hr

Full-time

Posted 7 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations and experiment design.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on creating tasks that require strategic thinking and efficient information extraction.
  • Work independently to enhance problem designs based on feedback and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.