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Software Engineer Applied Math Jobs in Manhattan, NY

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 ...

Flora AI

Software Engineer, Applied AI

New York, NY · On-site

$170K - $240K/yr

We're looking to bring on a Software Engineer who will architect and build the agentic systems ... What You'll Do As an Applied AI Engineer, you'll design and build the intelligence layer of FLORA ...

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 ...

Mirage

Software Engineer, Applied AI

New York, NY · On-site

$185K - $285K/yr

Applied AI engineers work across product, machine-learning, and systems engineering-owning meaningful problems end-to-end and helping define how our models are used across the product.

Commure

Software Engineer, Applied AI

Manhattan, NY · On-site

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience • 3+ years of professional software development industry ...

Mirage

Software Engineer, Applied AI

New York, NY · On-site

$185K - $285K/yr

Applied AI engineers work across product, machine-learning, and systems engineering--owning meaningful problems end-to-end and helping define how our models are used across the product.

Commure

Software Engineer, Applied AI

New York, NY · On-site

$130K - $180K/yr

Professional software development industry experience * Strong Full-Stack programming skills * Very familiar with Frontend technologies (React, Flutter, Typescript, etc.) * Experience in environments ...

Current

Senior Software Engineer, Applied ML

Manhattan, NY · On-site

$134.90K - $177.80K/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

$134.90K - $177.80K/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

$134.90K - $177.80K/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

New York, NY · On-site

$200K - $250K/yr

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

Current

Senior Software Engineer, Applied ML

New York, NY · On-site

$200K - $250K/yr

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

Commure

Senior Software Engineer, Applied AI

New York, NY · On-site

$170K - $230K/yr

Professional software development industry experience * Strong Full-Stack programming skills * Very familiar with Frontend technologies (React, Flutter, Typescript, etc.) * Experience in environments ...

Commure

Senior Software Engineer, Applied AI

Manhattan, NY · On-site

$134.90K - $177.80K/yr

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience • 4+ years of professional software development industry ...

Pearson

Senior Software Engineer - AI

Hoboken, NJ · Hybrid

$134.10K - $176.70K/yr

Senior Software Engineer - Applied AI & Generative Systems Pearson Learning Studio (PLS) Role Overview Pearson is accelerating the adoption of applied AI and generative technologies to power next ...

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$70.1K

$162.8K

$226.8K

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

As of May 31, 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 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

Software Engineer, Applied AI

Auctor AI

New York, NY • On-site

$175K - $290K/yr

Full-time

Posted 28 days ago

Job description

Why Auctor
Auctor is building the AI layer for professional services and software implementation. Think of us as the brain behind the best solution engineers, forward-deployed engineers, and onboarding teams-automating the documentation, the discovery, and the decision-making that powers $400B+ in services work. We're going after one of the biggest software categories of the decade.
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 empirical research. You will work across retrieval, document understanding, tool use, context management, prompting, and orchestration. Some weeks you will be shipping new capabilities. Some weeks you will be mining production traces, designing evals, and figuring out which part of the system is actually failing.
We are not looking for someone to glue an API onto a product and call it AI. We are looking for someone who wants to build real agent systems, understand how they behave in the wild, and use that understanding to make bold product and architecture decisions.
This role is based in New York, NY, in person 5 days per week.
What You'll Do
  • 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
What We're Looking For
  • 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
Strong Candidates May Also Have
  • 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
Example Projects
This is a new field. We care much more about what you have built than whether your background fits a standard template.
Projects that would make us excited include:
  • Designing and shipping an agent harness that materially improved performance on a real task
  • Building an eval or benchmark that changed what your team decided to build next
  • Designing tool interfaces, memory systems, or retrieval systems for an LLM-powered product
  • Building a production workflow around language models that users actually depended on
  • Running a careful experiment on prompting, model routing, or orchestration and using it to drive a product decision

If you apply, we would love to see one thing you built with LLMs or agents. It does not need to be perfect or flashy. We mostly want to understand how you think, what you owned, what you learned, and what tradeoffs you made.
Compensation
$175,000-$290,000 base salary, plus equity.
Benefits
  • Early-stage equity
  • Competitive, top-of-market salary
  • Catered lunch and dinners

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