Machine Learning Engineer intern - Part-Time

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

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 source-linked preview and links to the original posting.