1

Software Engineer Applied Math Jobs in Manhattan, NY

About The Role Take2 AI is hiring a Senior Software Engineer, Applied AI with deep experience applying agentic AI solutions with multi-agent / RAG in production to design, build, and scale the AI ...

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 ...

Senior Software Engineer, Applied AI

Manhattan, NY · On-site

$135K - $178K/yr

About The Role Take2 AI is hiring a Senior Software Engineer, Applied AI with deep experience applying agentic AI solutions with multi-agent / RAG in production to design, build, and scale the AI ...

... math holds is if the company runs on tools instead of hours. This role owns that. You'll go ... of engineering, data, or applied AI experience, or work that makes the years irrelevant. Slope ...

... math holds is if the company runs on tools instead of hours. This role owns that. You'll go ... of engineering, data, or applied AI experience, or work that makes the years irrelevant. Slope ...

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 ...

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 ...

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 ...

Software Engineer - Applied AI

New York, NY · On-site +1

$170K - $225K/yr

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 ...

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 • ...

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 • ...

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 • ...

next page

Showing results 1-20

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 13, 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 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:

Infographic showing various Software Engineer Applied Math job openings in Manhattan, NY as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $162,811 per year, or $78.3 per hour.

Senior Software Engineer, Applied AI

New York, NY • On-site

$180K - $225K/yr

Full-time

Posted 19 days ago


Key responsibilities

  • Design, build, and ship applied AI-powered features and agentic workflows to production.

  • Select, integrate, evaluate, and tune models for voice AI pipelines, ensuring quality, latency, and reliability.

  • Own the backend services and data/inference pipelines that serve applied-AI features in production.


Job description

About Take2 AI
Take2 is an AI agents platform purpose-built for healthcare recruiting. Take2's agent network automates the end-to-end recruiting process, from sourcing and screening to credential verification, scheduling, and onboarding.
We work with enterprise healthcare customers, including some of the largest health systems in the USA.
About The Role
Take2 AI is hiring a Senior Software Engineer, Applied AI with deep experience applying agentic AI solutions with multi-agent / RAG in production to design, build, and scale the AI systmes powering Take2's autonomous healthcare recruiting platform.
You'll own applied-AI work end-to-end - from prototyping and model selection through production reliability - as we scale from thousands to millions of candidate conversations.
This role is high-ownership, hands-on, highly technical, and perfect for someone who thrives in a startup environment, playing a key role from design through production with significant ownership over technical execution and direction.
In Terms of Experience
Required:
  • 6+ years software engineering experience (backend or full stack) with significant ML and Applied AI experience as a part of that
  • Bachelor's in Computer Science or Computer Engineering
  • Have shipped multi-agent AI solutions with real-time inference to live users at scale
  • Designed and implemented agent orchestration, evaluation frameworks, and related tooling
  • Shipped production AI applications with real-time inference, integrating ML models into live systems
  • Built and operated distributed backend systems with monitoring and observability in place
  • Strong proficiency in Python, JavaScript, Node.js, AWS, Kubernetes, Docker
  • 2+ years at an early to mid-stage startup (Series B or lower)
Preferred:
  • Experience self-hosting AI/ML models for use in voice AI pipelines, including tuning and optimizing them for performance and reliability
  • Experience owning and operating distributed systems in high-throughput, streaming, low-latency environments, ensuring scalability, reliability, and performance under real-time constraints
  • Direct, hands-on experience integrating and optimizing STT, TTS, VAD, and LLMs for real-time voice agents
  • Scaled and optimized voice pipelines for low latency, high availability, and real-time performance
What You'll Do
  • Design and build applied AI-powered features and agentic workflows - tweak systems, use RAG, build intra-agent networks & communication - and ship them to production
  • Select, integrate, evaluate, and tune models for the right balance of quality, latency, cost, and reliability across voice AI pipelines (STT/TTS/VAD)
  • Build evaluation, guardrail, and observability systems to ensure AI behavior is measurable and safe at scale
  • Own the backend services and data/inference pipelines that serve applied-AI features in production
  • Collaborate closely with product and founding engineering to rapidly prototype and deliver with significant ownership over technical direction
Location & Flexibility
We're NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.
Compensation & Growth
Competitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory.