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Math Phd Salary Jobs (NOW HIRING)

Axiom

ZK Proof Engineer

New York, NY · On-site +1

$125K - $250K/yr

You'll receive a competitive salary with equity. * You will work with and receive mentorship from ... Before Axiom, Yi was a professor at UChicago Statistics and did a math PhD at MIT. He was ...

Axiom

Forward Deployed Engineer

New York, NY · On-site +1

$125K - $200K/yr

You'll receive a competitive salary with equity. * You will work with and receive mentorship from ... Before Axiom, Yi was a professor at UChicago Statistics and did a math PhD at MIT. He was ...

Axiom

Distributed Systems Engineer

New York, NY · On-site +1

$125K - $250K/yr

You'll receive a competitive salary with equity * You will work with and receive mentorship from an ... Before Axiom, Yi was a professor at UChicago Statistics and did a math PhD at MIT. He was ...

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How much do math phd salary jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for math phd salary in the United States is $27.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $29.33 per hour, depending on experience, location, and employer.

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

To thrive as a Mathematics PhD holder, you need deep expertise in mathematical theory, advanced problem-solving skills, and a doctoral degree in mathematics or a closely related field. Familiarity with statistical analysis software, programming languages (such as Python or MATLAB), and research publication systems is often required. Exceptional analytical thinking, collaboration, and clear communication skills set top candidates apart. These abilities are crucial for producing innovative research, effectively sharing complex ideas, and contributing to interdisciplinary teams in academia, industry, or government.

What is the difference between Math Phd Salary vs Data Scientist Salary?

AspectMath Phd SalaryData Scientist Salary
Required credentialsMath PhD, advanced quantitative skillsBachelor's or Master's in CS, Stats, or related field; often a PhD preferred
Work environmentResearch institutions, academia, government labsTech companies, finance, consulting firms
Industry usageAcademic research, government projects, specialized industriesTechnology, finance, healthcare, retail
Common search intentSalary comparison, career prospects, job roles

While Math PhDs often focus on research and theoretical work, Data Scientists typically work in applied settings analyzing data to inform business decisions. Salaries can overlap, but Data Scientists tend to have higher starting salaries due to industry demand and practical skills.

What is the average salary for someone with a Math PhD?

The average salary for individuals with a Math PhD can vary widely depending on their career path. Academic positions, such as assistant professors at universities, typically start around $60,000 to $90,000 per year, while tenured professors can earn significantly more. In industry roles, such as data science, finance, or technology, Math PhDs can earn starting salaries ranging from $90,000 to $130,000 or higher, depending on the sector and location. Salaries tend to increase with experience, expertise, and the specific demands of the job.

What career paths are commonly available to individuals with a Math PhD, and how do these impact potential salary growth over time?

Individuals with a Math PhD have a wide range of career opportunities, including academia, research, finance, data science, and technology sectors. Those who pursue academic roles may start as postdoctoral researchers or assistant professors, with salaries growing as they advance to tenured positions. In industry roles such as quantitative analyst or data scientist, salaries are often higher and tend to increase rapidly with experience and specialization. Additionally, working in government research labs or private R&D can provide stable career progression and competitive compensation. Salary growth is closely tied to sector, geographic location, and the individual's ability to leverage specialized expertise.
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Math Phd Salary jobs near you
Infographic showing various Math Phd Salary job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $57,798 per year, or $27.8 per hour.

ZK Proof Engineer

Axiom

New York, NY • On-site, Remote

$125K - $250K/yr

Full-time

Re-posted 7 days ago

Job description

About Us
Axiom is using zero-knowledge proofs to enable new types of verifiable and private software applications, starting with crypto and fintech. We are a small but incredibly strong team backed by the best investors in crypto. We're looking for exceptional people who are excited to work on challenging and impactful problems in a fast-paced environment. Our office is in NYC and working in person in NY is our strong preference, but we're open to remote candidates as well.
We recently released OpenVM, a performant and modular zkVM framework built for customization and extensibility. OpenVM allows developers to verify the correct execution of arbitrary computer programs in a flexible and performant way. We are building ZK-enabled products using OpenVM and supporting teams building on OpenVM.
The Role
We are looking for a ZK Proof Engineer who will implement and optimize cutting-edge cryptographic code for zero-knowledge proof generation. You will be responsible for building systems to interface between low-level computer systems like the RISC-V ISA, compiler frameworks like LLVM, and database backends and connecting them with cutting-edge zero-knowledge proof systems. The role will involve both optimizing ZK provers and implementing novel ZK circuits. Your work will require making design choices to enable rapid development of secure and efficient systems.
We are looking for someone with strong engineering design skills, the ability to work across the stack, and a security mindset. We also value the ability to make pragmatic technology choices which empower our small team without adding too much overhead.
Who you are
  • You have a strong background in math/cryptography, or strong problem-solving skills and interest in zero-knowledge proofs.
  • You have proficiency in Rust, C/C++, or a similarly performant backend language. We work primarily in Rust.
  • You are extremely detail oriented and have a security mindset.
  • You've worked on challenging software projects and have an eye for performance.
  • You're a clear communicator and value collaboration.
  • You have a strong bias towards action.
  • You have an extremely strong work ethic.

Bonuses
  • You have experience with compiler frameworks like LLVM or MLIR.
  • You've worked with aspects of low level computer architecture like RISC-V or programmed FGPAs or other custom hardware.
  • You have experience with database backends, including experience with query planning or low level query engines.
  • You've done research in mathematics, theoretical computer science, or theoretical physics.
  • You have experience with low-level details of Ethereum

We welcome diverse backgrounds. Some non-traditional profiles that may be a good fit include high-frequency trading, math/physics/CS academia, and hardware engineering.
Why join us
  • You'll be one of the earliest employees with ownership to make key technical/product decisions.
  • You'll be working on groundbreaking tech that has the potential to be a key piece of infrastructure for the crypto industry.
  • You'll receive a competitive salary with equity.
  • You will work with and receive mentorship from an exceptional team.

Our Team
Our founders Yi Sun and Jonathan Wang met while studying math at Harvard and have been working on ZK since 2021. Together, they wrote some of the most performant ZK circuits for elliptic curve cryptography and Ethereum data reads before starting Axiom.
Before Axiom, Yi was a professor at UChicago Statistics and did a math PhD at MIT. He was previously an advisor for Gauntlet and worked at an HFT startup from inception to profitable trading. Jonathan published number theory research in top math journals and did a math PhD at UChicago.
The rest of our small but incredibly strong team includes alums of Applied Intuition, Coinbase, Color, Neon, Google, and Perplexity as well as math / CS PhDs and IMO / IPhO / Codeforces winners. We look forward to working with you!

Apply