Perception Intern, Summer 2026

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Seed From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Perception Intern, Summer 2026 San Francisco ABOUT THE ROLE As a Perception Intern at Mach9, you will contribute to a range of projects that are critical to the development and enhancement of our core products. You will have the opportunity to work on advanced 2D image and 3D point cloud models for object and panoptic detection, focusing on urban and roadway features such as traffic lights, utility poles, curbs, and painted road markings. EXAMPLE PAST AND FUTURE PROJECTS: - Develop an initial prototype to detect paint lines and curbs on roadways. (This project ended up developing into one of our new products). - Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system. - Assist in the development and tuning of machine learning models to enhance performance and accuracy. WHAT WE'RE LOOKING FOR: - Strong programming fundamentals in Python, with a focus on algorithmic problem-solving and clean code design. - Ability to implement and iterate on heuristic or geometry-based algorithms quickly. - Hands-on experience with machine learning frameworks (e.g., PyTorch, Jax) and familiarity with computer vision tasks. - A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis. - Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks. - Currently pursuing a degree in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning

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