WoRV Team is Hiring!

Job Introduction - Machine Learning Engineer

“A role dedicated to researching and developing Embodied Agents.”

The WoRV (World Model for Robotics and Vehicle Control) team is building a general-purpose Foundation Model that integrates text, images, videos, and actions to tackle challenges in robotics and autonomous driving.

WoRV team is advancing and commercializing the SketchDrive project.

The goal of SketchDrive is to develop a navigation agent that:

1. Drives like humans, using a single model to navigate various environments by reading maps, following language instructions, and interpreting visual inputs.
2. Understands human intent like humans, interpreting contextual cues from instructions to navigate accordingly.

For more details, visit SketchDrive Project Introduction.

Research findings from the SketchDrive project have been published in academic conferences under the name CANVAS.

At WoRV, we prioritize the ability to rapidly and accurately implement cutting-edge research advancements. Given the nature of the Embodied AI field, ML Engineers benefit greatly from strong software engineering skills alongside their expertise in machine learning.

We are actively seeking individuals who either possess these skills or demonstrate strong potential to develop them. If you resonate with this vision, we encourage you to apply—even if you’re still growing in these areas. Don’t hesitate to reach out!

Research Support

• Access to 12 on-premise DGX H100 machines (H100 x 96 GPUs), over 30 A100s, and more than 10 V100s.
• A robust pipeline for acquiring high-quality, fully human-generated driving data in both simulation and real-world settings.
  • Unlimited access to custom datasets and annotations tailored to the research team's needs.
• Over 100 hours of map-based driving data, with the flexibility to generate additional datasets as needed.
• Strong academic support, including submissions and attendance at top conferences such as NeurIPS, ICLR, CVPR, ECCV, Interspeech, and ACL.
  • Full coverage of travel expenses for papers accepted at international conferences or journals.

For more details:

• Publications | maum.ai BRAIN Team
• Open-Source Activities | maum.ai BRAIN Team

Key Responsibilities

Candidates will be assigned to ongoing projects based on their skills and interests at the time of onboarding.

• **SketchDrive Project**

  Example Tasks:

  • Improving pipelines for data collection, processing, training, and evaluation
  • Developing software engineering solutions to make the project commercially viable
  • Generating and implementing innovative ideas to solve driving-related challenges

• Expanding the scope of research and projects as team resources allow, depending on the candidate’s abilities and the team’s needs.

Required Skills

• Strong foundational knowledge and engineering skills in Computer Science:
  • Comprehensive understanding and solid basics in disciplines such as operating systems, data structures, algorithms, databases, and networks.
• Basic understanding of and interest in machine learning and deep learning.
• A proactive attitude toward growth, learning, and sharing knowledge with others.

Preferred Qualifications

• Recognition or awards in STEM fields (e.g., Olympiads in computer science, mathematics, physics, etc.).
• Ability to stay up-to-date with the latest research trends.
• A proven research track record in machine learning, including publications in major conferences or journals.
• Basic proficiency in Korean for effective communication.

Recruitment Process

• Application Review → Coding Test → Pre-assignment → In-Person Interview → Offer Negotiation → Final Acceptance

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How to Apply

• Apply via Google Form

• [email protected]

  • You can submit your resume (and portfolio) through either method, whichever is convenient for you. </aside>

• Applicants will be notified of the results of the application review within three days. We appreciate your understanding in advance.

  • The coding test and in-person interview will be scheduled to accommodate the applicant’s convenience as much as possible.

• There are no strict requirements for the format of the submitted documents (resume/portfolio).

  • However, please ensure the file format is PDF!

• For any questions regarding recruitment, feel free to reach out via [email protected] or LinkedIn DM.

Additional Notes

• If any false information is found in the application, the offer may be revoked.
• For full-time positions, there is a three-month probationary period, during which the evaluation results may lead to an extension of the probation or cancellation of the employment offer.