Machine Learning Engineer intern - Part-Time

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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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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

Growth-stage 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

Machine Learning Engineer intern - Part-Time YOUR MISSION AT VOI As a Machine Learning Engineer Intern at Voi, you will play a key role in designing and building machine learning models for our edge ML product. You will work across both software engineering and machine learning challenges, contribute to our product rollout, and help enhance the safety and real-world performance of our vehicles. You will join a high-impact product team, see your work deployed on Voi vehicles worldwide, and learn how to build ML products end-to-end. Please note this role is for 50% (Part-Time). In this role, you will: - Help build a cutting-edge machine learning product and see your models deployed on Voi vehicles across multiple markets. - Build an ML solution end-to-end, from dataset creation and PoC model development to edge ML optimisation, deployment and impact measurement. - Support production-grade models with a focus on reliability, scalability, and high performance. - Collaborate with a world-class, cross-functional product team, aligning on priorities and outcomes while learning from and supporting your teammates. WHAT YOU NEED TO EMBARK You are a curious, hands-on and analytical problem-solver with a strong interest in applied machine learning. You enjoy working with real-world data, building models that ship to production, and collaborating with others to create solutions that make a tangible impact. We believe you have: - Current enrolment in an MSc in Computer Science, Machine Learning, Robotics or a related field, with around one year or less remaining in your studies. - Strong Python

Read the full description at careers.voi.com. FewerJobs shows a preview and links to the original posting.