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Internship Software Engineer Applied Math Jobs in Massachusetts

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

Senior Software Engineer, Applied AI

Boston, MA · On-site

$133K - $175K/yr

Senior Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by ...

Senior Software Engineer

Woburn, MA · On-site

$130K - $172K/yr

... Applied Mathematics, Electrical Engineering, or related field • Ability to obtain a security ... software quality tools (static/dynamic analysis, automated testing frameworks) Company : STR is ...

Senior Software Engineer

Woburn, MA · On-site

$130K - $172K/yr

They are seeking experienced Senior Software Engineers to join their multidisciplinary cyber ... Applied Mathematics, or a related field, with at least 5 years of relevant experience or equivalent ...

They are seeking experienced Lead Software Engineers to lead the design, implementation, and ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

They are seeking experienced Lead Software Engineers to design, implement, and test innovative ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

Senior Software Engineer

Woburn, MA · On-site

$130K - $172K/yr

They are seeking experienced Senior Software Engineers to develop cutting-edge technologies that ... Applied Mathematics, or a related field, with at least 5 years of relevant experience or equivalent ...

STR is hiring experienced Lead Software Engineers to join their multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

STR is hiring experienced Senior Software Engineers to join our multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 5 years of relevant experience or equivalent ...

STR is hiring experienced Lead Software Engineers to join our multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

GPU Software Engineer

Boxborough, MA · On-site

$98K - $148K/yr

Minimum Qualifications: • Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field. • Knowledge of one or ...

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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.

Senior Software Engineer, Applied AI

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Other

Re-posted 16 days ago


Job description

Your Impact at LILA

We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications. You'll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting-edge applied AI techniques such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.

This role is ideal for someone who thrives in bridging software engineering and applied AI-turning research into production-grade systems that drive real-world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!

What You'll Be Building

  • Applied AI Integration: Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
  • API & Service Development: Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.
  • Data Pipeline Architecture: Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
  • Database & Knowledge Systems: Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
  • Cloud & Infrastructure: Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.
  • Performance & Reliability: Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.
  • Collaboration: Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems.

What You'll Need to Succeed

  • Educational Background: Bachelor's or Master's in Computer Science, Engineering, or a related field.
  • Backend & Data Expertise: 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
  • Programming Skills: Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
  • Databases: Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
  • Applied AI Systems: Hands-on experience integrating ML models or AI-driven workflows into production services.
  • Cloud & DevOps: Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.
  • Communication & Problem-Solving: Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts.

Bonus Points For

  • Scientific & Data-Intensive Domains: Experience working with life sciences, materials sciences, or other research-heavy fields.
  • Startup Experience: Comfort with fast-paced, iterative environments where impact and adaptability matter.