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Machine Learning Software Engineer Intern Jobs in Daly City, CA

Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team ... Good understanding of software development principles, data structures, and algorithms. * Excellent ...

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Showing results 21-40

Machine Learning Software Engineer Intern information

See Daly City, CA salary details

$15

$29

$44

How much do machine learning software engineer intern jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for machine learning software engineer intern in Daly City, CA is $29.45, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $33.41 per hour, depending on experience, location, and employer.

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 cities near Daly City, CA are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Daly City, CA with the most Machine Learning Software Engineer Intern job openings:

Senior Software Engineer, Infrastructure

Skild AI

San Mateo, CA • On-site

$100K - $300K/yr

Full-time

Re-posted 4 days ago


Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Senior Software Engineer to enhance the performance, reliability, and maintainability of our cutting-edge robotics systems in deployment. You will design, implement, and maintain software systems for deployment in real-world robotic products. This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models into practical applications. You will also define technical roadmaps and drive product and system architecture direction.
Responsibilities
  • Architect, build, and maintain deployment software infrastructure and back-end services (e.g., model training infrastructure, AI developer tools, metrics dashboards).
  • Lead teams to develop reliable software systems with robust testing, metrics, and logging mechanisms.
  • Write and review code, develop documentation, create capacity plans, and debug on robot hardware.
  • Collaborate with cross-functional teams to define technical roadmaps and drive the direction of product and system architecture.
  • Share an on-call rotation with the engineering team to ensure system reliability and quick issue resolution.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Minimum of 3 years of industry experience.
  • Proficiency developing higher-level languages (e.g. Python, C++, or Java).
  • Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems.
  • Knowledge of Linux OS fundamentals, memory management, and kernel.
  • Experience learning software, frameworks, and APIs.
  • Experience with enterprise security.
  • Previous extensive work experience as a: Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), or similar.

Base Salary Range
$100,000-$300,000 USD