ZipRecruiter

Log In

1

Machine Learning Software Engineer Intern Jobs (NOW HIRING)

SkyGig

ML Software Engineer Intern

San Jose, CA

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build ... We are looking for motivated problem solvers with strong machine learning and software development ...

Nirmata

AI Software Engineer Intern

San Jose, CA

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

Ambarella

We are looking for a Software Engineer intern to work on the software development tools targeting ... Machine Learning; Embedded Firmware * Development; Benchmarking or Performance Tuning. * Ability to ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...

Jane Street

Machine Learning Engineer

New York, NY

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...

CUBRC Inc.

Software Engineer Intern

Buffalo, NY · Remote

$24 - $35/hr

SOFTWARE ENGINEER INTERN Position Summary: The successful candidate will perform research on new ... Preferred skills include ability to train and apply machine learning to solve problems and use of ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site

$126K - $166K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work ...

cxb

Software Engineer, Intern

Manhattan, NY · On-site

Reporting to the Assistant Director, Software Engineering the Software Engineer Intern builds tools to enhance the work of Breaking Ground. The Intern works closely with departments across the ...

next page

Showing results 1-20

All JobsMachine Learning Software Engineer Intern Jobs

Machine Learning Software Engineer Intern information

See salary details

$13

$25

$38

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

As of Jul 9, 2026, the average hourly pay for machine learning software engineer intern 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 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, and why are they important?

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 types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
What cities are hiring for Machine Learning Software Engineer Intern jobs? Cities with the most Machine Learning Software Engineer Intern job openings:
What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
What states have the most Machine Learning Software Engineer Intern jobs? States with the most job openings for Machine Learning Software Engineer Intern jobs include:
Machine Learning Software Engineer Intern jobs near you

ML Software Engineer Intern

SkyGig

San Jose, CA

Full-time

Re-posted 6 days ago

Job description

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new hardware innovations forward.
We are looking for motivated problem solvers with strong machine learning and software development skills, with an interest in applying AI to complex technical challenges at the intersection of software and hardware design. Join our collaborative and innovative team as we work to transform the future of circuit design.


Responsibilities
As our ML software engineer your primary responsibilities will include:

  • Designing, building, training, and evaluating machine learning models that support circuit design workflows.
  • Developing models for circuit performance prediction, design-space optimization, and simulation acceleration.
  • Building data pipelines and model-training workflows using simulation results, measurement data, circuit parameters, and design constraints.
  • Working with a cross-functional team to understand model requirements and translate engineering needs into ML solutions.
  • Preparing technical documentation and reports.
  • Participating in design reviews, brainstorming sessions, and technical discussions.

We are considering full-time/ part-time applicants for Summer and Fall 2026.
The ideal candidate will have strong technical competency, curiosity, and the ability to take ownership of a well-defined project. They should also be excited to adapt, learn quickly, and grow in a fast-paced startup environment.

Requirements

Minimum Requirements:

  • Currently pursuing a degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field.
  • Strong programming skills in Python with experience in scripting and automation.
  • familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Understanding of software engineering principles, code organization, and collaborative development practices.
  • Experience with data processing libraries such as pandas, NumPy, and SciPy.
  • Understanding of methods for evaluating, validating, and improving AI/ML model performance in real-world applications.
  • Strong collaboration and communication skills.

Benefits

  • Paid, full-time, onsite internship at our Bay Area, CA location with competitive salary
  • Opportunity to work with a collaborative and ambitious team developing disruptive products.
  • Opportunities for growth, leadership, and project ownership in a dynamic startup environment.

Apply