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# ML/AI Engineer

- **Company:** LUDO ROBOTO LLC
- **Location:** Palo Alto, CA, United States
- **Salary:** $98,000 - $305,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Cognitive Science, Computer Programming, Video Game Development, Python (Programming Language), Machine Learning, Tensorflow, Reinforcement Learning, Large Language Models, Deep Learning, Information Technology, Natural Language Understanding
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ml-ai-engineer-palo-alto-ca--8cbb291d-1c1f-4adc-b1f3-af658a515705

## About the Role

Artificial Intelligence (AI), Robotics, Machine Learning, Startup, Video Games, Artificial Intelligence (AI), Gaming, Technical Research, Research Skills, Academic Research, * 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.

## Description

* 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.