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Math Major Jobs in Berkeley, CA (NOW HIRING)

Aggreko

AES Broadcast Technician

San Francisco, CA

$43/hr

Utilize mathematical formulas to calculate both nominal and effective tonnage and/or kW requirements. * Ensure the completion of minor repairs and major overhauls on time, to standard and within ...

Autoscience

Software Engineer

Menlo Park, CA · On-site

Bachelor's degree in Computer Science, Math, or a related field * Experience with AI and machine learning is a plus Benefits & Perks * Our comp is competitive against major LLM frontier lab packages

Swayable

Research Data Scientist

San Francisco, CA · On-site

... support major organizations. Responsibilities : • Conduct data science research to push our ... science, statistics, physics, mathematics, bioinformatics, computer science, or a related ...

Drew School

STEM Tutor

San Francisco, CA · On-site

$50 - $65/hr

Exceptional conceptual and practical knowledge across all high school math levels (through Calculus and Statistics). Strong foundational knowledge in Physics and Chemistry is a major asset.

Drew School

STEM Tutor

San Francisco, CA · On-site

$50 - $65/hr

Exceptional conceptual and practical knowledge across all high school math levels (through Calculus and Statistics). Strong foundational knowledge in Physics and Chemistry is a major asset.

Drew School

STEM Tutor

San Francisco, CA

$50 - $65/hr

Exceptional conceptual and practical knowledge across all high school math levels (through Calculus and Statistics). Strong foundational knowledge in Physics and Chemistry is a major asset.

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Showing results 21-40

All JobsMath Major JobsMath Major Jobs in Berkeley, CA

Math Major information

See Berkeley, CA salary details

$27.6K

$72K

$115.7K

How much do math major jobs pay per year?

As of Aug 19, 2026, the average yearly pay for math major 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 is a math major?

Math majors are students who specialize in mathematics during their undergraduate studies. They focus on areas such as calculus, algebra, statistics, and mathematical theory, honing their problem-solving and analytical skills. Math majors often pursue careers in fields like data analysis, finance, teaching, research, or technology. Their training prepares them to tackle complex problems and understand abstract concepts, making them valuable in a wide range of industries.

What are the key skills and qualifications needed to thrive as a math major?

To thrive as a Math Major, you need strong analytical abilities, problem-solving skills, and a solid background in algebra, calculus, and statistics, typically supported by formal coursework or a related degree program. Familiarity with mathematical software such as MATLAB, Mathematica, or Python is often essential for tackling complex computations and modeling. Effective communication, persistence, and critical thinking are valuable soft skills that help you articulate solutions and collaborate on projects. These skills are crucial for mastering advanced mathematical concepts, succeeding in research or industry roles, and preparing for further academic or professional pursuits.

What types of entry-level positions are commonly available to math majors, and how can I leverage my degree to stand out in the application process?

Math majors often qualify for entry-level roles such as data analyst, actuarial assistant, financial analyst, operations research assistant, and junior statistician. To stand out, highlight your problem-solving skills, experience with quantitative software (like Excel, R, or Python), and any internships or projects that demonstrate your ability to apply mathematical concepts in real-world scenarios. Emphasize teamwork and communication abilities, as many positions require collaborating with colleagues from different backgrounds to solve complex business problems. Tailoring your resume and cover letter to showcase these strengths can help you succeed in a competitive job market.

What is the difference between Math Major vs Data Analyst?

AspectMath MajorData Analyst
Required CredentialsTypically a bachelor's degree in mathematics or related fieldBachelor's degree in statistics, mathematics, or related field; often requires knowledge of data tools
Work EnvironmentAcademic, research, or industry settings involving problem-solving and theoretical workBusiness, finance, healthcare, or tech companies analyzing data to inform decisions
Industry UsageUsed in academia, research, finance, and tech sectorsCommon in marketing, finance, healthcare, and consulting industries
Common Search & ComparisonMath Major vs Data Analyst

While a Math Major focuses on theoretical and mathematical problem-solving skills, a Data Analyst applies these skills to interpret data and support business decisions. Both roles require strong analytical abilities, but Data Analysts often need proficiency in data tools and software. Understanding these differences helps in choosing the right career path or educational focus.

Are math majors useful?

Math majors are valuable in many fields such as finance, data analysis, engineering, and research, where strong analytical and problem-solving skills are essential. They often work with tools like statistical software and programming languages, and their skills are applicable in roles that require quantitative reasoning and logical thinking.

What can you do with a math major?

A math major can pursue careers in fields such as data analysis, finance, actuarial science, software development, and research. These roles often require strong analytical, problem-solving, and quantitative skills, and may involve using tools like statistical software or programming languages.

What jobs can a math major get?

A math major can pursue careers such as data analyst, actuary, financial analyst, statistician, operations researcher, or mathematician. These roles often require strong analytical, problem-solving, and quantitative skills, and may involve working with software like Excel, R, or Python. Many positions are available in finance, technology, government, and research sectors.

What are popular job titles related to Math Major jobs in Berkeley, CA?

For Math Major jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Math Major jobs in Berkeley, CA look for?

The top searched job categories for Math Major jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Math Major jobs?

Cities near Berkeley, CA with the most Math Major job openings:

Math Major jobs near you
Infographic showing various Math Major job openings in Berkeley, CA as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $72,043 per year, or $34.6 per hour.

AI Researcher - Frontiers & Reasoning

Logical Intelligence

San Francisco, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Who we are

At Logical Intelligence, we're revolutionizing software development with AI-powered formal verification. We've developed groundbreaking agents that provide mathematical guarantees of code correctness, ensuring that software behaves exactly as intended while proactively identifying bugs and security vulnerabilities. Our novel foundation model enables scalable, precise reasoning for formally verifiable code across Rust, Golang, and smart contract VMs. We've won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Backed by a world-class team - including ICPC champions, a Fields Medalist and an ACM Turing Award winner - we're building the future where all code is provably correct.

About the role

Join our team as an AI Researcher and help us push the boundaries of what's possible in logical reasoning! We're looking for a motivated individual to build, maintain, and improve innovative approaches including (but not limited to!) energy-based modeling (EBM). You'll be at the forefront of designing and refining algorithms that go beyond the capabilities of traditional Large Language Models (LLMs), tackling complex reasoning challenges. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions.

What you'll do
  • Research new reasoning algorithms and models
  • Pre-train and fine-tune the State-of-the-Art LLMs
  • Combine Reasoning algorithm and LLMs
  • Build effective and efficient ML pipelines
  • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
  • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution
Qualifications
  • M.Sc. or Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
  • 5+ years of subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Reasoning, Energy-based Modeling (preferable)
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX
  • Strong communication and teamwork skills
  • Experience with explicit and implicit reasonin
  • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc.)

Bonus Points

  • Multi-node and multi-GPU training
  • Mathematical Reasoning - discrete math and logic
  • Provable record of Energy-based usage for different problems
  • Hands-on with algorithms used to train Energy-based models
  • Formal Verification - lean

Apply