Advanced Analytics Research Scientist - Industrial VLM Systems -
About The Position
We are looking for an innovative AI engineer/scientist to help develop the next generation of vision-language AI systems for industrial automation and robotics. You will focus on building multimodal AI systems who can understand environments, interpreting visual and operational context, interacting naturally with operators, and enabling intelligent robotic and industrial behaviors in real-world settings. You will work at the frontier of vision-language models (VLMs), multimodal learning, robotics AI, and industrial autonomy. You will be developing systems that combine visual perception, language understanding, reasoning, and adaptive learning to operate effectively in complex physical environments.
Requirements
- Bachelor's Degree in Relevant Field
- Typically requires 5+ years relevant experience
- Strong background in one or more of the following: Computer vision, Vision-language models (VLMs), Multimodal AI, Robotics AI, Deep learning and representation learning
- Experience developing AI systems using modern machine learning frameworks and multimodal architectures
- Strong software engineering skills in Python and AI/ML tooling ecosystems
- Familiarity with: Foundation models, Transformer architectures, Video understanding, Visual reasoning, Embodied AI or robotic learning
- Bridge research and deployment in complex real-world systems
- Curiosity and experience with building AI systems that perceive, reason, and interact within physical environments
Nice To Haves
- Industrial automation or robotics platforms
- Vision-based inspection systems
- Simulation and digital twin environments
- Edge AI deployment and optimization
- Reinforcement learning or imitation learning
- Multi-agent AI systems
- World models and spatial reasoning
- Human-in-the-loop learning systems
Responsibilities
- Develop and deploy vision-language AI systems for: Industrial automation, Robotics and autonomous systems, Operator assistance and collaboration, Visual inspection and monitoring, Environment and scene understanding
- Build multimodal AI architectures capable of reasoning over: Images and video, Sensor and operational data, Natural language instructions and documentation, Human interactions and feedback
- Design systems that enable: Context-aware decision making, Human-robot interaction, Spatial and semantic understanding, Task grounding and action reasoning, Continuous learning from deployment observations and operational feedback
- Integrate AI models with robotics platforms, automation systems, edge devices, and industrial data infrastructure
- Collaborate with researchers, controls engineers, robotics teams, and domain experts to deploy AI systems into real operational environments
Benefits
- Health Insurance including Medical, Dental and Vision
- 401k
- Paid Time off
- Parental and Caregiver Leave
- Flexible Work Schedule
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What This Job Offers
Job Type
Full-time
Career Level
Senior
