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SkyGig

ML Software Engineer Intern

San Jose, CA · On-site

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 ...

Ambarella

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test ... Must be comfortable with modern software development methodologies such as code review, unit ...

Neuralink

Software Engineer Intern, Robotics

Austin, TX · On-site

$35/hr

As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing software and making sure your code works on an actual surgical robot, not just simulation. Our robotics ...

N1

Software Engineer Intern (Fullstack)

New York, NY · On-site

Position Overview: We're seeking a Software Engineer intern, Full-Stack to join our engineering team full-time. This role is involves developing front-end, server-side, and database applications with ...

Ambarella

We are looking for a Software Engineer intern to work on the software development tools targeting future generations of Ambarella chips for embedded Computer Vision application and Intelligent ...

Jane Street

Software Engineer

New York, NY · On-site

As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you'll learn how we ...

Jane Street

Software Engineer

New York, NY

As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you'll learn how we ...

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As of Aug 7, 2026, the average hourly pay for intern fresher software engineer 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.
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ML Software Engineer Intern

SkyGig

San Jose, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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