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Logical Mathematical Jobs (NOW HIRING)

Logical Intelligence

AI Engineer in ML Data

San Francisco, CA · On-site

$134K - $162K/yr

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 ...

YO AI Labs

Mathematics Expert - Remote

New York, NY · Remote

$80 - $90/hr

Evaluate mathematical content for accuracy, clarity, and logical consistency. * Provide rigorous explanations, technical analyses, and justifications. * Apply research methodologies to develop and ...

New

Brighterly

Online Math Tutor

New York, NY · On-site +1

We believe that math is more than numbers - it's confidence, logic, and problem-solving that ... Help students build strong foundations in arithmetic, algebra, geometry, and logical thinking.

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How much do logical mathematical jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for logical mathematical in the United States is $26.74, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $30.29 per hour, depending on experience, location, and employer.

What is the difference between Logical Mathematical vs Data Analyst?

AspectLogical MathematicalData Analyst
Required CredentialsBachelor's in Math, Computer Science, or related fieldsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, tech industries
Employer & Industry UsageTech firms, research institutions, educational organizationsCorporations, consulting firms, government agencies
Common Search & ComparisonLogical Mathematical vs Data Analyst

Logical Mathematical professionals focus on abstract reasoning, problem-solving, and mathematical theories, often working in research or academia. Data Analysts interpret data to inform business decisions, working across various industries. While both roles require analytical skills, Logical Mathematical roles emphasize theoretical and computational skills, whereas Data Analysts focus on data interpretation and reporting.

What is a logical mathematical job?

Logical-mathematical jobs are roles that require strong analytical, problem-solving, and quantitative reasoning skills. These positions often involve working with numbers, data analysis, logical reasoning, and complex calculations. Examples include mathematicians, data analysts, statisticians, engineers, computer programmers, and financial analysts. People in these jobs use logic and mathematical concepts to solve problems, make decisions, and interpret data. Such roles are common in industries like technology, finance, research, and engineering.

What kinds of projects do professionals in logical mathematical roles typically work on, and how do these projects impact organizational goals?

Professionals in logical-mathematical roles, such as data analysts, statisticians, or operations researchers, often work on projects involving data analysis, statistical modeling, and problem-solving to optimize business processes. Their work may include analyzing large data sets to identify trends, developing algorithms to improve efficiency, or creating predictive models to support decision-making. These projects directly contribute to organizational goals by enabling better strategic planning, reducing costs, and improving overall performance. Collaboration with teams such as IT, business operations, and management is common to ensure that analytical solutions are aligned with business needs.

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

To thrive as a Mathematician, you need strong analytical reasoning, advanced mathematical knowledge, and typically a degree in mathematics or a related field. Familiarity with mathematical modeling software, programming languages like Python or MATLAB, and statistical analysis tools is often required. Attention to detail, problem-solving abilities, and effective communication skills help mathematicians collaborate and present complex ideas clearly. These competencies are crucial for solving theoretical and practical problems across industries such as research, finance, and technology.
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What are the most commonly searched types of Logical Mathematical jobs?

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What states have the most Logical Mathematical jobs?

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What job categories do people searching Logical Mathematical jobs look for?

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Logical Mathematical jobs near you
Infographic showing various Logical Mathematical job openings in the United States as of August 2026, with employment types broken down into 68% Full Time, 30% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $55,623 per year, or $26.7 per hour.

AI Researcher - Frontiers & Reasoning

Logical Intelligence

Fremont, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

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 Research Engineer 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 reasoning
  • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc.


Bonus Points

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

Apply