Lead AI Research Scientist (Robotics)

Jobgether; Oregon; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Fully remote (US-based team)

Contract-based employment

Hybrid option in New Delhi (subject to

Job summary

Jobgether invites applications for Lead AI Research Scientist (Robotics) to drive the next generation of Physical AI and Vision-Language-Action models for robotics. You will lead research initiatives spanning multimodal AI, foundation models, CV, and robotic learning, turning research into practical robotic capabilities.

The role involves mentoring researchers, guiding experiments, and collaborating across robotics control and embedded systems teams to deliver scalable AI solutions for

Qualifications

• Requires Masters or Ph.D. in CS/AI/Robotics or related field.
• At least 4 years of experience in multimodal AI, foundation models, or robotic learning.
• Strong experience in training and fine-tuning large multimodal models and ViTs.
• Proficiency in Python and DL frameworks such as PyTorch or JAX.
• Experience with VLMs or VLA architectures and open-weight VLA models.

Responsibilities

• Lead research, development, and adaptation of Vision-Language-Action models for robotics.
• Fine-tune open-weight VLA models for navigation and manipulation.
• Develop multimodal representations linking vision, language, and action.
• Design action-tokenization and spatial waypoint generation methods.
• Build parameter-efficient fine-tuning pipelines (LoRA, PEFT).
• Leverage VLMs, ViTs, and large multimodal models for robotics perception.
• Integrate AI perception into robotic decision-making systems.
• Collaborate with control and embedded teams to translate AI outputs into actions.
• Lead research planning, experiments, and performance improvements.
• Mentor researchers and engineers through model adaptation and deployment.

Skills

Multimodal AI

Vision-Language Models

Robotics

Python

PyTorch

JAX

Hugging Face tools

Education

PhD in Computer Science / AI / Robotics

M.S. in Computer Science / AI

Tools

OpenVLA

Octo

π0

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI Research Scientist (Robotics) based in the United States.

We are seeking an experienced AI research leader to drive the development of next-generation Physical AI and Vision-Language-Action (VLA) models for robotics applications. In this role, you will lead research initiatives that enable robots to interpret visual information, understand natural-language instructions, and translate them into purposeful actions. You will work at the intersection of multimodal AI, foundation models, computer vision, and robotic learning. Combining advanced research with practical implementation, you will help develop intelligent systems for robotic navigation and manipulation. You will also shape technical strategies, guide research teams, and improve model performance across different robotic platforms. This is an opportunity to influence emerging technologies and turn cutting-edge AI research into real-world robotic capabilities.

Accountabilities

• Lead the research, development, and adaptation of Vision-Language-Action (VLA) models for advanced robotic applications.
• Fine-tune open-weight VLA models, including OpenVLA, Octo, and π0, for robotic navigation and manipulation tasks.
• Develop multimodal representations connecting camera observations, natural-language instructions, spatial reasoning, and robotic actions.
• Design action-tokenization strategies and spatial waypoint generation methods to improve robotic behavior and decision-making.
• Build and optimize parameter-efficient fine-tuning pipelines using LoRA and other PEFT techniques.
• Leverage Vision-Language Models (VLMs), Vision Transformers (ViT), and large multimodal models to enhance robotic perception and intelligence.
• Integrate AI-driven visual perception and reasoning capabilities into robotic decision-making systems.
• Explore cross-embodiment learning approaches and datasets such as Open X-Embodiment to improve generalization across different robotic platforms.
• Collaborate with robotics control and embedded systems teams to translate AI model outputs into executable robotic behaviors.
• Lead research planning, technical evaluations, experimentation, and continuous model performance improvements.
• Mentor and guide researchers and engineers throughout model adaptation, training, evaluation, and deployment processes.
• Translate research findings into practical, scalable AI solutions for real-world robotic applications.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, Machine Learning, or a related technical discipline.
• At least 4 years of relevant professional experience in multimodal AI, foundation models, vision-language models, imitation learning, or robotic learning.
• Strong hands-on experience developing, training, and fine-tuning large multimodal models, Vision Transformers, or related deep learning architectures.
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or JAX.
• Practical experience working with Vision-Language Models (VLMs) or Vision-Language-Action (VLA) architectures.
• Familiarity with open-weight VLA models such as OpenVLA, Octo, and π0.
• Experience using Hugging Face tools and model training, adaptation, and fine-tuning workflows.
• Solid understanding of parameter-efficient fine-tuning techniques, including LoRA and related approaches.
• Strong knowledge of multimodal representation learning, computer vision, visual perception, and language-conditioned action generation.
• Familiarity with robotic imitation learning, policy learning, and/or reinforcement learning.
• Understanding of cross-embodiment robotic learning and datasets such as Open X-Embodiment is considered an advantage.
• Demonstrated ability to lead technical research initiatives, assess experimental outcomes, and translate findings into practical AI capabilities.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively across multidisciplinary research and engineering teams.
• Proven ability to provide technical direction, mentor colleagues, and drive research projects from experimentation to implementation.

Benefits

• Fully remote working arrangement through a US-based research team, subject to approved employer work locations.
• Opportunity to lead the development of emerging Physical AI and Vision-Language-Action technologies.
• Exposure to cutting-edge research at the intersection of multimodal AI, foundation models, and robotics.
• Opportunity to explore innovative approaches to language-conditioned robotic navigation and manipulation.
• Collaboration with AI researchers and robotics engineers on advanced, real-world applications.
• Significant influence over technical direction, research priorities, and the evolution of intelligent robotic systems.
• Contract-based employment arrangement.
• Alternative hybrid working arrangement may be available in New Delhi, India, subject to employer approval.