Full-Time

Machine Learning / Artificial Intelligence Engineer

Ludo Robotics

Ludo Robotics

Develops general-purpose robotic intelligence for humanoids

Compensation Overview

$98k - $305k/yr

+ Equity

San Francisco, CA, USA

In Person

Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
LLM
Python
Neural Networks
Machine Learning
C/C++
Reinforcement Learning

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Requirements
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Electrical Engineering, or related field with focus on Deep Learning or Machine Learning — or equivalent industry experience.
  • Solid understanding of machine learning fundamentals and modern deep learning techniques, with hands-on experience with ML frameworks.
  • Strong programming skills, primarily in Python, with experience or willingness to work in C++-based robotics environments.
  • Comfort working on open-ended, ambiguous problems where requirements and solutions evolve and curiosity and readiness to tackle new technical challenges that may not have established best practices.
  • Experience working with real-world data, including noise, edge cases, and imperfect labels.
  • Familiarity with robotics concepts such as perception, control, state estimation, or simulation a plus.
  • Experience building systems for Human-robot interaction: multimodal and audio-based communication, speech and conversational interfaces, and socially aware, natural turn-taking behavior or applying large language models (LLMs) to robot behavior, natural language understanding, and task planning.
  • Experience developing robot action models—such as vision-language-action (VLA) models, imitation or reinforcement learning for manipulation, or learned control policies deployed on real hardware.
  • Strong problem-solving skills and the ability to reason about complex systems.
  • Ability to collaborate effectively in fast-paced, research-driven environments.
  • Clear communication skills and a strong sense of ownership over outcomes.
Responsibilities
  • Design and lead an independent research agenda within the scope of the role, in collaboration with Ludo's research team.
  • Conduct experiments, user studies, and field deployments to evaluate hypotheses on real hardware.
  • Develop theoretical frameworks and translate them into prototype robot behaviors that bridge research with real-world system implementation.
  • Synthesize findings from academic literature across HRI, HCI, social robotics, cognitive science, robot learning, and AI to inform research direction.
  • Integrate developed models and algorithms into robot control pipelines and evaluate their real-world performance.
  • Collaborate cross-functionally with engineers, designers, and product teams to translate research insights into deployable systems.
  • Contribute to establishing metrics and evaluation frameworks for robot behavior and system performance.
  • Actively participate in team seminars, design reviews, and knowledge-sharing sessions
Desired Qualifications
  • None

Ludo Robotics is an AI and robotics lab focused on Physical AI to make humanoid robots that can interact with people. It combines robotics, perception, learning, and manipulation, and uses Krafton’s experience with game simulation, physics engines, and large virtual datasets to train and validate AI systems before real-world use. The company develops a general-purpose robotic “brain” for socially intelligent robots, aiming for robust, adaptive behavior in real-world scenarios rather than task-specific machines. It differentiates itself by leveraging Krafton’s data-heavy simulation tools and long-term funding, and through a strategic alliance with Hanwha Aerospace to explore Physical AI applications in defense and manufacturing. The goal is to create socially capable, autonomous humanoid robots that can operate reliably in everyday human environments and scalable, real-world deployments.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2026

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Simplify Jobs

Simplify's Take

What believers are saying

  • On March 13, 2026, Krafton and Hanwha Aerospace signed an MOU for a Physical AI JV.
  • Ludo’s July 2026 hiring page shows active recruiting for robotics, ML, and HRI roles.
  • Krafton’s parent backing funds long-horizon robotics, avoiding the runway pressure crushing startups.

What critics are saying

  • No customer revenue exists yet; Ludo remains a pre-product R&D lab in August 2026.
  • Hanwha Aerospace’s JV targets defense commercialization, but prototypes and contracts remain unannounced.
  • If Krafton tightens capital after 2026 losses, Ludo becomes a stranded cost center quickly.

What makes Ludo Robotics unique

  • Krafton launched Ludo Robotics in February 2026 to commercialize simulation-trained Physical AI.
  • It combines San Francisco research with Seoul execution, led by Chang-han Kim and Kangwook Lee.
  • Krafton’s PUBG and inZOI simulation heritage gives Ludo unique synthetic data and physics experience.

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Benefits

Company Equity