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Software Engineer Applied Math Jobs in Manhattan, NY

Auctor

Software Engineer, Applied AI

Manhattan, NY · On-site

As a Software Engineer, Applied AI, you will design and improve core systems for AI agents, working at the intersection of engineering and empirical research. Responsibilities : • Build and improve ...

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 ...

Rilla

Software Engineer, Applied AI

New York, NY · On-site

$200K - $300K/yr

Today, we've built the leading sales coaching software for organizations doing sales offline. We ... The Role The Applied AI team at Rilla is redefining how humans interact with machines-using voice ...

Luminary

Software Engineer - Applied AI

New York, NY · On-site +1

Who you are Four or more years of software engineering experience, at companies with strong engineering practices. Beyond that: * An engineer who works on AI, not a researcher. You like shipping to ...

Traba

Software Engineer (Applied AI)

New York, NY · On-site

$140K - $200K/yr

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

Current

Senior Software Engineer, Applied ML

Manhattan, NY · On-site

$134K - $177K/yr

... Engineering, Mathematics, or a related field • Solid understanding of algorithms, data structures and object-oriented design • Experience with cloud-hosted services, like AWS or GCP • ...

Current

Senior Software Engineer, Applied ML

Manhattan, NY · On-site

$134K - $177K/yr

... Engineering, Mathematics, or a related field • Solid understanding of algorithms, data structures and object-oriented design • Experience with cloud-hosted services, like AWS or GCP • ...

Current

Senior Software Engineer, Applied ML

Manhattan, NY · On-site

$134K - $177K/yr

... Engineering, Mathematics, or a related field • Solid understanding of algorithms, data structures and object-oriented design • Experience with cloud-hosted services, like AWS or GCP • ...

Current

Senior Software Engineer, Applied ML

Manhattan, NY · On-site

$134K - $177K/yr

... Engineering, Mathematics, or a related field • Solid understanding of algorithms, data structures and object-oriented design • Experience with cloud-hosted services, like AWS or GCP • ...

Basic Capital

Software Engineer - Applied AI

New York, NY · On-site

$180K - $275K/yr

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 ...

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All JobsSoftware Engineer Applied Math JobsSoftware Engineer Applied Math Jobs in Manhattan, NY

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 Aug 23, 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.

What are popular job titles related to Software Engineer Applied Math jobs in Manhattan, NY?

For Software Engineer Applied Math jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Software Engineer Applied Math jobs in Manhattan, NY look for?

The top searched job categories for Software Engineer Applied Math jobs in Manhattan, NY are:

Software Engineer Applied Math jobs near you
Infographic showing various Software Engineer Applied Math job openings in Manhattan, NY as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $162,811 per year, or $78.3 per hour.

Software Engineer, Applied AI

Auctor

Manhattan, NY • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Auctor is building the AI layer for professional services and software implementation, aiming to automate key processes in a $400B+ industry. As a Software Engineer, Applied AI, you will design and improve core systems for AI agents, working at the intersection of engineering and empirical research.
Responsibilities:
• Build and improve the core systems behind our agents across retrieval, tool use, document understanding, memory, and orchestration
• Design evals and experiments that help us understand agent quality in production
• Turn traces, failures, and user behavior into concrete product and architecture decisions
• Work closely with operations, GTM, and deployed teams to understand real workflows and where agents break down
• Evaluate models, prompts, and system designs across real enterprise tasks
• Own the loop from idea -> implementation -> measurement -> iteration
Qualifications:
Required:
• Strong engineering fundamentals and the ability to ship production systems
• Fluency in Python
• Experience building or working on LLM-powered products, agent systems, or adjacent applied AI systems
• An empirical mindset — you reach for logs, traces, experiments, and real usage before guessing
• Strong systems taste — you understand that retrieval, prompting, memory, tools, and UX interact
• High ownership and comfort working in ambiguity
• Strong opinions about what makes agent systems actually work
Preferred:
• Experience with retrieval, search, or ranking systems
• Experience designing evals, benchmarks, or feedback loops for LLM systems
• Experience building internal tools, workflow products, or operator-facing systems
• Experience in startups or other high-ownership environments
Company:
Auctor is an AI-native system for streamlined software implementations, aiming to unify pre-sales and delivery processes. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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