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Machine Learning Software Engineer Intern Jobs in California

... learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion ... Role Overview As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts ...

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

  • Retirement

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... Strong foundation in classification and supervised learning. Preferred Skills: Nice-to-Haves

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

  • Retirement

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... Strong foundation in classification and supervised learning. Preferred Skills: Nice-to-Haves

Software Engineer, Machine Learning Responsibilities: * Define and own the technical architecture of critical machine learning systems, including model training pipelines, inference infrastructure ...

Showing results 21-40

Machine Learning Software Engineer Intern information

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in California?

The most popular types of Machine Learning Software Engineer jobs in California are:

What cities in California are hiring for Machine Learning Software Engineer Intern jobs?

Cities in California with the most Machine Learning Software Engineer Intern job openings:

Software Engineer Intern

Serval Inc

San Francisco, CA • On-site

Full-time

Re-posted 2 days ago


Job description

Who We Are
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end - replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don't just respond to requests - they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we're building the universal AI operations layer - a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
We're backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
Role Overview
As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts of our platform as we build AI-powered automation for modern IT teams. This is a hands-on internship where you'll contribute real production code, learn how an early-stage product is built, and see your work shipped to customers.
What You'll Do
  • Work closely with our CTO and founding engineering team to build and extend backend product capabilities.
  • Contribute to backend services that power Serval's AI-driven automation workflows.
  • Learn how to design, implement, and test scalable systems in a production environment.
  • Help us move quickly toward key product milestones, including shipping and iterating on core platform features.

What You'll Need
  • Currently pursuing a degree in Computer Science, Engineering, or a related technical field with an expected graduation date between Dec 2026 - 2028
  • Strong fundamentals in computer science (data structures, algorithms, systems).
  • Familiarity with at least one backend programming language (Go, Java, Python, or similar).
  • Clear communication skills and the ability to learn quickly in a fast-moving environment.
  • Excitement about startups, ownership, and building products from the ground up.

Nice to Have
  • Exposure to modern backend or cloud technologies (APIs, microservices, containers, or cloud platforms).
  • Experience with any part of our stack: Go, gRPC, Kubernetes, React, TypeScript, AWS, or Terraform.
  • Previous internship or project experience at a startup or fast-paced team.

What We Offer
  • Impact: Be a key player in shaping the success of our product and company.
  • Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
  • Culture: Join a culture that values innovation, ownership, accountability, and fun.