Senior Robotics Software Engineer, Machine Learning-Perception

Location: Seoul, Korea

Reporting to: Team Lead

Please submit your CV in English.

Join the Bear Team!

Bear Robotics, a growing 'world-class AI-powered mobility platform company', is looking for you to work with the best specialists in each field.

Currently, Bear Robotics has over 200 employees working closely together in the US, Korea, Japan, and other countries, possessing excellent technological capabilities in areas such as robot software platform development, swarm control technology, and cloud management solutions. Starting with service robots, Bear Robotics delivers approximately 20,000 AI-powered robots to about 20 countries worldwide. The recently introduced AMRs (Autonomous Mobile Robots) offer contactless remote solutions for autonomous movement in logistics processes through its proprietary robot platform that manages robot traffic, and possess competitive advantages in swarm control technology that can efficiently manage up to 1,000 robots in a single space. Bear Robotics secured $60 million in investment in 2024 and became a subsidiary of LG Electronics in May 2025 after gaining management control through an additional acquisition of LG Electronics shares. Join us to create numerous innovations and fully realize your potential with Bear Robotics, which will expand globally.

[Key Responsibilities]

• Develop ML solutions to develop product features and improve performance in close collaboration with perception, navigation, and robotics systems engineers.
• Lead the application of development results to actual robots, rapid stabilization of features, and performance improvement.
• Identify development items based on ML by actively exchanging opinions with PM, sales, and other teams.
• Manage the entire development cycle, including data collection/cleaning and ML model development using them.
• Mentor interns and team members.

[Required Experience and Qualifications]

• Master's/Ph.D. degree in Computer Science, Robotics, or related fields + relevant industry experience.
• (Or) Bachelor's degree in Computer Science (focusing on Computer Vision and Deep Learning) + 4+ years of relevant industry experience.
• Excellent theoretical understanding of Computer Vision (CV), Deep Learning (DL), or Reinforcement Learning models.
• Knowledge of common image classification, object detection, and tracking algorithms.
• Deep understanding of DL/CV research trends and practical methodologies.
• Proficiency in Python and/or C++.
• Experience with one of the standard DL frameworks (TensorFlow, Keras, PyTorch).
• Experience with common image processing tools (opencv, numpy, pandas, matplotlib).
• Reasonable understanding of the ML model development/deployment cycle.
• Experience with raw (unprocessed) data.
• Excellent communication skills. As this position requires cross-departmental collaboration, the ability to work across multiple teams/domains is important.
• Proficient in English.

[Preferred Experience and Qualifications]

• High level of understanding of existing computer vision algorithms.
• Experience using ROS.
• Experience deploying ML models in a production environment.
• Experience developing and optimizing ML models for edge devices.

[Process]

Application Submission - Resume Screening - Initial Call - Coding Test - Peer Interview - Final Interview - Final Decision

✔️Key Articles about Bear Robotics (👇Click👇)

✨ 'I quit Google, ran a sundubu restaurant, and learned how to survive Silicon Valley'.

✨ Ha Jung-woo, CEO of Bear Robotics, who received investment from LG: 'We will become the world's best AI robot company'.

✨ 'The robot market is now the era of platforms... We will become the industry standard in service and logistics'.

✔️This is how we work.

🎬Robotics startup employees talk about everything about the company (👈Click)

✨Welcome to Bear Robotics✨

• Provision of a welcome kit for new employees.
• Onboarding session for a stable start.

✨ We have GOOD HABITS ✨

We strive to maintain good habits and reduce bad ones. For a better version of ourselves than yesterday!

• We care about each other.
• We think from the other person's perspective.
• We learn new things.

✨ We have FUN ✨

We work to be happy. We are creating a work environment where everyone can enjoy their work.

• Autonomous work schedule from 8:00 to 11:00 (8-hour workday).
• Meal allowances provided.
• Unlimited snacks.

✨ We FOCUS on work ✨

We work efficiently and effectively.

• Support for high-performance laptops, 4K monitors, and peripherals.
• RSU (Restricted Stock Units), bonus system.
• Support for English language learning, comprehensive health check-ups, compensation for celebration expenses/leave for important events, maternity leave, parental leave, group accident insurance for employees, etc.