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.

Current Projects(Dec 2024)

• SketchDrive
  • Developing a single model capable of navigating diverse environments by reading maps, following linguistic instructions, and interpreting visual inputs.
  • Mimicking human-like contextual understanding to infer intent from instructions and execute precise navigation.
  • Learn more:
    • Introduction to the SketchDrive Project
    • Monorepo Structure for Agent Research
• Exploration of New Projects
  • Actively researching new topics aligned with the Embodied AI era.

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 → In-Person Interview → Offer Negotiation → Final Acceptance

<aside> 💡

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.