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Software Engineer Applied Math Jobs in Manhattan, NY

Software Engineer, Applied AI

New York, NY ยท On-site

$170K - $300K/yr

About the Role You'll work closely with product, research-adjacent teammates, and other engineers to make sure agents aren't just capable, but reliable, steerable, and worth trusting with real work.

Software Engineer, Applied AI

Manhattan, NY ยท On-site

$180 - $260/hr

About the Role You'll work closely with product, research-adjacent teammates, and other engineers to make sure agents aren't just capable, but reliable, steerable, and worth trusting with real work.

About the Role We're looking for a Senior Software Engineer to join our team and apply ML/AI ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

... applied AI that drives real productivity gains and transforms how the global supply chain operates ... This is a platform-engineering role first, so you'll go where the priorities are: the ...

Lead frontend and backend development, mentoring other engineers. * Architect and build core systems-real-time matching, autonomous vetting pipelines, distributed systems, and APIs. * Own product ...

Showing results 21-40

Software Engineer Applied Math information

See Manhattan, NY salary details

$70.1K

$162.8K

$226.8K

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

As of Sep 5, 2026, the average yearly pay for software engineer applied math in Manhattan, NY is $162,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $190,900.00 per year, depending on experience, location, and employer.

What is a software engineer applied math?

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 types of projects does a software engineer 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.

What are the key skills and qualifications needed to thrive as a software engineer applied math?

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.

Can you get a software engineer applied math job with a math degree?

A math degree can qualify you for a software engineer applied math position, especially if you have strong programming skills in languages like Python, C++, or Java, and experience with algorithms, data structures, and numerical methods. Employers often value analytical thinking and problem-solving abilities gained through a math background, but practical coding experience and familiarity with software development tools are also important. Additional certifications or coursework in computer science can enhance your chances of securing such roles.

What jobs can I do with a software engineer applied math degree?

A software engineer with an applied math degree can pursue roles such as data scientist, quantitative analyst, machine learning engineer, or software developer. These positions often require strong programming skills in languages like Python or C++, knowledge of algorithms, and experience with data analysis tools or mathematical modeling. Such roles are common in finance, technology, research, and analytics industries.
Infographic showing various Software Engineer Applied Math job openings in Manhattan, NY as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $162,811 per year, or $78.3 per hour.

Software Engineer - Applied AI

Basic Capital

Manhattan, NY โ€ข On-site

$90 - $130/hr

Other

Retirement

Re-posted 10 days ago


Job description

About Basic Capital

Basic Capital is a fintech company disrupting Americaโ€™s $1T retirement industry by building the modern 401(k) built for today's workforce, and the first ever retirement mortgage. Our mission is to create products, platforms, and a credit marketplace that power a fundamentally new retirement system.

Our founding team includes leaders from Goldman Sachs, Uber, Block, Stripe, and Robinhood. Weโ€™re backed by top investors such as Lux Capital, Forerunner Ventures, BoxGroup, SVAngel, Inspired Capital, and Henry Kravis. Based in Tribeca, NYC, weโ€™re assembling a lean, high-performance team committed to reducing wealth inequality.

For more information, visit Basic Capitalโ€™s website.

You will

  • Ship full-stack AI projects end-to-end
  • Build components for AI infrastructure, harness fine-tuning, and evaluation
  • Develop and improve engineering processes and systems to scale AI products at Basic Capital

Required Competencies:

  • Proficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructure
  • Proficiency in any of the following: Kotlin, Swift, Rust, Java, Go, C/C++, Python, Ruby, or TypeScript

Preferred Competencies

  • Experience in fintech or earlyโ€‘stage technology companies
  • Experience building and deploying agentic systems and embedding AI/ML in userโ€‘facing applications

Cultural Fit

  • Passionate about solving big social problems with pragmatic solutions
  • Aptitude for complexity and curiosity for financial markets
  • Enjoys learning new technologies and selecting the right tool for each job
  • Adaptable and open to contributing across the tech stack as the team evolves
  • Autonomous, high agency, accountable, and thrives in a fast-paced environment
  • Strong collaboration and communication skills, working effectively in crossโ€‘functional teams
  • Excited to be a part of an inโ€‘office team
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