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Machine Learning Internship, Behaviors Research

Pay
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Work setting
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Employment
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Before you apply

New graduates
For current studentsEnrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field of study

What you’ll work on

Full posting
  • Research driving behavior topics like future prediction and motion planning

  • Test research ideas on large-scale internal datasets

  • Work with other teams to deploy research into autonomous vehicles

  • Publish research results in papers and patents

From the employer’s posting
Conduct research on driving behavior related topics, such as future prediction, motion planning, agent simulation, scenario generation
Work with large-scale internal datasets to demonstrate the effectiveness of your research
Collaborate with different teams to deploy your research results into the autonomous vehicles
Publish the research results in papers and patents

What you’ll bring

All qualifications

Core experience

  • Enrolled in a Masters or PhD program in CS, EE, Robotics or similar
  • Strong machine learning research background with top-tier conference publications
  • Proficiency in Python and PyTorch or other deep learning frameworks
  • Effective collaboration and strong communication skills

Preferred experience

  • Previous experience in autonomous driving
Qualification wording
Enrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field of study
Strong Machine Learning research background with publications in any of the top-tier conferences
Proficiency in Python coding and PyTorch or other commonly-used deep learning frameworks
One-team mindset and effective collaboration with other researchers and engineers
Previous experience in autonomous driving is preferred
Education & alternatives
What we are looking for: - Enrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field of study - Strong Machine Learning research background with publications in any of the top-tier conferences(RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.)
Apply at Motional

Posting record

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Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 14, 2026204 days ago
Recorded sightings
145
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 204

Up longer than most. Similar jobs usually come down between day 6 and day 70.

Well past Motional’s usual: its jobs come down by about day 61.

From 4,442 similar postings that came down, and 9 of Motional’s. Coming down is not always a hire.

Motional is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • PyTorch
Where the posting names them
- Strong Machine Learning research background with publications in any of the top-tier conferences(RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.) - Proficiency in Python coding and PyTorch or other commonly-used deep learning frameworks - One-team mindset and effective collaboration with other researchers and engineers

Your next step

Complete your application on motional.com. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

We are looking for a highly motivated intern to join our Behaviors team and conduct research on Machine Learning for prediction and planning. Here, you will work with the team behind nuScenes, PointPillars, Point Painting, PBP Trajectory Prediction and DriveIRL to deliver ML technologies aligned with the core values of Motional ensuring the highest standards of quality, scientific rigor and innovation.

The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months. We offer flexible working hours and allow for remote work. The candidate will however have to live in Singapore for the duration of the internship.

What you’ll be doing:

  • Conduct research on driving behavior related topics, such as future prediction, motion planning, agent simulation, scenario generation
  • Work with large-scale internal datasets to demonstrate the effectiveness of your research
  • Collaborate with different teams to deploy your research results into the autonomous vehicles 
  • Publish the research results in papers and patents

What we are looking for:

  • Enrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field of study
  • Strong Machine Learning research background with publications in any of the top-tier conferences(RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.)
  • Proficiency in Python coding and PyTorch or other commonly-used deep learning frameworks
  • One-team mindset and effective collaboration with other researchers and engineers
  • Strong communication and interpersonal skills
  • Previous experience in autonomous driving is preferred

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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Location & working pattern

Singapore, Central, Singapore

We are looking for a highly motivated intern to join our Behaviors team and conduct research on Machine Learning for prediction and planning. Here, you will work with the team behind nuScenes, PointPillars, Point Painting, PBP Trajectory Prediction and DriveIRL to deliver ML technologies aligned with the core values of Motional ensuring the highest standards of quality, scientific rigor and innovation. The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months. We offer flexible working hours and allow for remote work. The candidate will however have to live in Singapore for the duration of the internship. What you’ll be doing:
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