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Internship Software Engineer Applied Math Jobs (NOW HIRING)

This role is for an early- to mid-career software engineer building applied AI systems at the application layer, shipping agent-powered features, full‑stack apps, and durable workflows that power ...

Skills & Experience - Core * 4+ years of experience as a software engineer, applied AI engineer, ML engineer, or data scientist * Strong programming skills in Python, proficiency in Docker and data ...

Skills & Experience - Core * 4+ years of experience as a software engineer, applied AI engineer, ML engineer, or data scientist * Strong programming skills in Python, proficiency in Docker and data ...

This is an early- to mid-career software engineering role focused on building applied AI systems at the application layer - shipping agent-powered features, full-stack apps, and durable workflows ...

This is an early- to mid-career software engineering role focused on building applied AI systems at the application layer -- shipping agent-powered features, full-stack apps, and durable workflows ...

Bachelor's degree in Computer Science, Mathematics, Physics, Applied Math, or related field * At least 3 years of experience as a Software Engineer or Developer * Active Secret Clearance * Experience ...

Sr. Software Engineer - Applied AI

Palo Alto, CA · On-site +1

$144K - $189K/yr

Great Company, Great Culture, Great Rewards and Great Careers. Sr. Software Engineer - Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified ...

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Internship Software Engineer Applied Math information

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$13

$25

$38

How much do internship software engineer applied math jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship software engineer applied math in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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 are hiring for Internship Software Engineer Applied Math jobs? Cities with the most Internship Software Engineer Applied Math job openings:
What are the most commonly searched types of Software Engineer Applied Math jobs? The most popular types of Software Engineer Applied Math jobs are:
What states have the most Internship Software Engineer Applied Math jobs? States with the most job openings for Internship Software Engineer Applied Math jobs include:

Software Engineer, Applied AI

Getclera

San Francisco, CA • On-site

$140 - $220/hr

Other

Posted 5 days ago


Job description

This role is for an early- to mid-career software engineer building applied AI systems at the application layer, shipping agent-powered features, full‑stack apps, and durable workflows that power Inference Capital’s work. You’ll take meaningful ownership of production systems that turn improving model capabilities into dependable, economically valuable tools while helping shape a small, ambitious engineering culture.

What you’ll do
  • Build production systems across agent systems, full‑stack applications, durable workflows, and data infrastructure.
  • Own system design, deployment, and iteration for agent‑powered features end to end.
  • Test new models, frameworks, tool‑use patterns, and context approaches and productionize improvements.
  • Build evaluations, observability, and human‑review systems to make agent behavior measurable and reliable.
  • Develop durable workflows and data infrastructure for tool coordination, context, state, retries, and failure recovery.
  • Design and implement interfaces that make complex agent workflows clear, fast, and intuitive.
  • Turn rapidly improving model capabilities into dependable production systems that perform economically valuable work.
  • Lead substantial projects across product, agents, data, and infrastructure and receive direct user feedback.
  • Help shape the technical foundation and engineering culture of a small team.
What Inference Capital is looking for
  • A few years of software engineering experience with strong fundamentals and a track record of shipping production systems.
  • Experience building full‑stack applications and owning features end to end.
  • Hands‑on experience with LLM applications, agents, tool use, evaluations, or other applied AI systems.
  • High agency, strong product judgment, and comfort moving across product, backend, data, and infrastructure.
  • Genuine curiosity about agent developments and the judgment to separate useful advances from hype.
  • Care for reliability, craft, and product detail, and comfort operating in a small team with broad problems and incomplete specs.
  • Based in San Francisco or willing to relocate and excited to work with the team in person.
  • Relevant experience such as fintech/financial data, early‑stage startups, durable workflow orchestration, human‑in‑the‑loop systems, or handling sensitive/permissioned data.
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