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Software Engineer Applied Math Jobs (NOW HIRING)

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Software Engineer - Applied Science

The Software Engineer - Applied Science role focuses on developing pricing algorithms, auction mechanisms, and analytical systems to enhance the company's marketplace operations. Responsibilities ...

Webflow

Staff Software Engineer, Applied AI

We are looking for a Staff Software Engineer to join our Applied AI team to help us build generative AI-powered features. The Applied AI team's goal is to enhance speed, creativity, and quality when ...

Mercor

Software Engineer, Applied AI

San Francisco, CA · On-site

$130K - $500K/yr

About the Role As a Software Engineer, Applied AI on Mercor's Enterprise team, you'll operate at the intersection of engineering, product, and customer success. Engineers on this team are builders ...

Auctor AI

Software Engineer, Applied AI

New York, NY · On-site

$175K - $290K/yr

Role Overview As a Software Engineer, Applied AI at Auctor, you will design, build, and improve the core systems behind our agents in production. This role sits at the boundary of engineering and ...

GEICO

Sr. Software Engineer - Applied AI

Palo Alto, CA · On-site +1

$144K - $189.80K/yr

Great Company, Great Culture, Great Rewards and Great Careers. Sr. Software Engineer - Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified ...

RST Recruitment

Software Engineer, Applied AI

New York, NY · On-site

$200K - $246K/yr

We are looking for a Senior Software Engineer, Applied AI (Senior SWE II) with roughly 5+ years of experience to join our engineering team. This role is ideal for a product-minded builder who deeply ...

Metron

Software Engineer

San Diego, CA

Bachelor's degree in Computer Science, Mathematics, Physics, Applied Math, or related field * At least 5 years of experience as a Software Engineer or Developer * Active Secret Clearance * Experience ...

Mercor

Software Engineer, Applied AI

San Francisco, CA · On-site

$130K - $500K/yr

About the Role As a Software Engineer on Applied AI , you'll build, deploy, and operate systems that sit directly between frontier AI research and data delivery. This is a high-ownership, deeply ...

Clipboard Health

Software Engineer - Applied Science

$180K - $400K/yr

... Engineers who do well on Applied Science are interested in marketplace economics and data science as much as they are in software engineering. They're equal parts builder and analyst - they dig into ...

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Software Engineer Applied Math information

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$63.5K

$147.5K

$205.5K

How much do software engineer applied math jobs pay per year?

As of May 30, 2026, the average yearly pay for software engineer applied math in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a Software Engineer Applied Math job?

A Software Engineer in Applied Math develops and implements mathematical models, algorithms, and simulations to solve complex problems in various domains such as finance, engineering, and data science. They use programming languages like Python, C++, or MATLAB to create efficient solutions based on numerical analysis, optimization, and machine learning. This role often involves collaborating with scientists, analysts, and engineers to enhance computational methods and improve decision-making processes.

What are the key skills and qualifications needed to thrive in the Software Engineer Applied Math position, and why are they important?

To thrive as a Software Engineer Applied Math, you need a solid background in computer science, mathematical modeling, and software engineering, often supported by a relevant degree such as computer science, applied mathematics, or engineering. Expertise in programming languages (such as Python, C++, or MATLAB), experience with numerical libraries and data analysis tools, and familiarity with version control systems are typically required. Strong analytical thinking, effective problem-solving, and the ability to communicate complex technical concepts are important soft skills for this role. These skills enable you to build efficient software solutions for complex mathematical problems, drive innovation, and collaborate effectively within technical teams.

What types of projects do Software Engineers in Applied Math typically work on?

Software Engineers specializing in Applied Math are often involved in developing algorithms, simulations, and analytical software that solve complex, real-world problems in fields like finance, engineering, machine learning, or data science. Daily responsibilities may include implementing mathematical models, optimizing existing code for performance, and collaborating with cross-disciplinary teams to refine solutions. Depending on the employer, you might work on projects such as risk modeling, signal processing, optimization engines, or predictive analytics tools. This role frequently requires balancing theoretical problem solving with practical software implementation to deliver robust, scalable applications. Working closely with researchers, data scientists, and other engineers, you will contribute to innovation and technical excellence in your organization's projects.
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Software Engineer Applied Math jobs near you
Infographic showing various Software Engineer Applied Math job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 86% Full Time, 6% Part Time, and 4% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer, Applied AI

Software Engineer, Applied AI

State Affairs

Washington, DC

$165K - $250K/yr

Other

Posted 21 days ago

Job description

We are hiring a Software Engineer, Applied AI to join our team located in Washington, DC.

As the Software Engineer, Applied AI, you will:

  • Deliver machine learning solutions by designing and developing models for complex web applications while ensuring adherence to best practices and architectural standards
  • Develop next generation algorithms to understand visual and textual content along with user interactions on the platform
  • Create classification models that include text, image, and videos along with developing supervised and semi-supervised models that scale to hundreds of millions of sources and their content.

Essential Qualifications for this position include:

  • Master's degree or PhD in computer science, engineering, or related field
  • Professional work experience in machine learning, artificial intelligence, and machine learning algorithm development
  • Knowledge of cloud-based infrastructure, such as AWS, for machine learning based application development
  • Knowledge of various AI/ML concepts such as computer vision, image processing, statistical modeling/inference, data mining, natural language processing (NLP), prompt engineering, graph/geometric deep learning, large language models (LLM), and generative AI
  • Ability to operate a Vector Database 
  • Ability to program in TypeScript and Python
  • Ability to pre-train and fine tune large language models including recent generative set models

Preferred Qualifications for this position include: 

  • Prior professional work experience as a software architect or in a technical leadership position
  • Knowledge of security best practices and compliance standards
  • Prior professional work experience in a start-up organization 

This is an onsite work opportunity and our teams operate from the Washington, DC office (located at L and 15th St. NW) five (5) days per week. State Affairs offers a competitive salary and a comprehensive benefits package to employees.

The annual salary range for this role as it is posted is $165,000 - $250,000 for candidates working from the State Affairs office in Washington, DC. The final job level and annual salary will be determined based on the education, qualification, knowledge, skills, ability, and experience of the final candidate(s), and calibrated against relevant market data and internal team equity.  Benefits listed in this posting may vary depending on the nature of your employment with State Affairs. 

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