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Internship Software Engineer Applied Math Jobs in New York

Auctor AI

Software Engineer, Applied AI

Manhattan, 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 ...

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 ...

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 ...

Current

Senior Software Engineer, Applied ML

Manhattan, NY · On-site

$200K - $250K/yr

Senior Software Engineer, Applied ML Current is a leading consumer fintech platform transforming ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

Traba

Software Engineer (Applied AI)

Manhattan, NY · On-site

The Software Engineer (Applied AI) will build products using AI agents to automate staffing processes and collaborate with the CTO on product development. Responsibilities : • Apply existing agents ...

Mercor

Software Engineer, Applied AI

New York, NY · On-site

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 ...

Rilla

Software Engineer, Applied AI

New York, NY

$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 ...

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 ...

Traba

Software Engineer (Applied AI)

Manhattan, NY · On-site

$140K - $200K/yr

Experienced & Entrepreneurial Full-Stack Product Engineer Traba is the AI operating layer for the ... applied AI that drives real productivity gains and transforms how the global supply chain operates ...

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 • ...

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Internship Software Engineer Applied Math information

What is the difference between Internship Software Engineer Applied Math vs Internship Data Scientist?

AspectInternship Software Engineer Applied MathInternship Data Scientist
Required SkillsProgramming, applied mathematics, algorithmsStatistics, programming, data analysis
Work EnvironmentTech companies, R&D labs, financeTech firms, consulting, research
Common Industry UsageSoftware development, modelingData analysis, predictive modeling

Internship Software Engineer Applied Math focuses on applying mathematical techniques to software development and algorithm design, often in tech and finance sectors. In contrast, Internship Data Scientist emphasizes analyzing data to extract insights, using statistical and machine learning methods. Both roles require programming skills, but their core focus and industry applications differ.

What cities in New York are hiring for Internship Software Engineer Applied Math jobs? Cities in New York with the most Internship Software Engineer Applied Math job openings:
Internship Software Engineer Applied Math jobs near you

Software Engineer, Applied AI

Auctor AI

Manhattan, NY • On-site

$175K - $290K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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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