Machine Learning Engineer developing and operating ML systems for video analysis with a focus on reliability and performance. Join TwelveLabs in pioneering multimodal AI from Seoul.
About the role
- Senior ML Engineer developing algorithms for road and lane detection in autonomous vehicles. Leveraging state-of-the-art machine learning techniques for high-performance perception systems.
Responsibilities
- Develop efficient pipelines for large-scale data processing and annotation(pseudo-labeling) of sensor data (e.g., LiDAR point clouds, image frames).
- Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness.
- Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency.
- Optimize inference pipelines for embedded and automotive-grade hardware platforms.
- Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems.
- Work with product and operations teams to define performance metrics and improve system reliability.
- Stay updated with the latest advancements in computer vision, Road Lane monocular and BEV models, and autonomous driving technologies.
- Contributing to the model development roadmap and providing strategic advice to technical leadership.
- Mentoring and guiding junior team members to enhance their technical skills and career growth.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Scientific understanding of machine learning for 3D BEV space modeling, including the ability to apply state-of-the-art ML research and methods in production.
- Applied understanding and hands-on expertise in lane and road geometry concepts, multi-camera calibration, and sensor projection.
- Experience with understanding data distributions and analyzing long tail distributions
- Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards.
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance
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