Embodied AI / VLA Research Engineer

MaxInsights is hiring an Embodied AI / VLA Research Engineer to develop, train, optimize, and deploy robotics foundation models. The role focuses on multimodal perception and control, robotic manipulation, long-horizon planning, large-scale robotics data pipelines, and real-world robot testing and integration.

What you'll do:

• Research and develop Vision-Language-Action (VLA), World Model, and other embodied AI foundation models
• Work on areas including: + Robotic manipulation + Multimodal perception and control + Long-horizon task planning + Vision-language-action reasoning + Robot-environment interaction
• Develop and optimize models for real-world robotic applications
• Translate research ideas into practical models and systems that can operate reliably on physical robots
• Train and optimize embodied AI foundation models using large-scale real-robot datasets and egocentric human demonstration data
• Design approaches for incorporating multimodal inputs such as: + Vision + Force + Tactile sensing + Proprioception + Other robot and environmental signals
• Develop and evaluate multimodal fusion architectures
• Conduct model training, evaluation, benchmarking, and performance optimization
• Analyze model performance and identify opportunities to improve training efficiency, generalization, and real-world performance
• Build and improve large-scale robotics data pipelines for model training
• Develop processes for: + Data cleaning + Data filtering + Resampling + Data augmentation + Data quality evaluation
• Design scalable data pipelines capable of supporting large volumes of robot and human demonstration data

What they're looking for:

• 1+ years of relevant industry or research experience in machine learning, robotics, computer vision, embodied AI, or a related field
• Strong understanding of deep learning and modern machine learning methods
• Experience with PyTorch or similar deep learning frameworks
• Experience training and evaluating machine learning models
• Strong programming skills in Python and familiarity with relevant ML/robotics tooling
• Understanding of multimodal learning, computer vision, robotics, or related areas
• Ability to work in a fast-paced startup environment and take ownership of technical problems from research through implementation
• Strong problem-solving and debugging skills
• Experience deploying and debugging machine learning models on physical robot systems
• Ability to bring models from development into real-world robotic environments
• Experience troubleshooting and stabilizing robotic systems in production or experimental environments
• Experience working with force, tactile, or other multimodal sensing

Benefits:

• Health insurance
• Vision care
• Dental coverage
• 401(k)
• Paid holidays
• PTO (Paid Time Off)
• Sick leave