Research Engineer: Multimodal AI & Robotics

Acceler8 Talent; Mountain View (CA); Presencial; USD 140 000 - 210 000; Tempo integral

Resumo da oferta

Acceler8 Talent in Mountain View, CA seeks a Research Engineer to help build an AI-powered observability platform for critical infrastructure. You will work on multimodal AI systems that combine language, vision, and agentic reasoning to monitor large physical environments.

The role emphasizes production-grade software and real-world deployment in a fast-moving startup environment, collaborating with robotics and autonomy engineers to scale the platform for diverse industrial settings.

Qualificações

• Experience with vision-language models or multimodal systems.
• Strong background in ML or applied AI research.
• Experience taking research concepts into real-world AI deployments.
• Ability to thrive in autonomous startup environments.
• Production-grade software development skills.
• Familiarity with robotics or embodied AI is a plus.

Responsabilidades

• Build multimodal AI systems combining language, vision, and agentic reasoning.
• Develop VLMs and multimodal agents to analyze and act on complex data.
• Design systems for natural interaction with fleets of autonomous robots.
• Work on large-scale reasoning systems to analyze incidents and identify faults.
• Build infrastructure grounding language models in visual observations from drones/robots.
• Develop retrieval, memory, and decision-making for mission-critical environments.
• Collaborate with robotics engineers to bridge perception, reasoning, and execution.

Conhecimentos

Vision-Language Models

Multimodal AI

LLMs

Agentic systems

Retrieval systems

Robotics perception

Software engineering

Real-world deployment

Descrição da oferta de emprego

Acceler8 Talent in Mountain View, CA seeks a Research Engineer to help build an AI-powered observability platform for critical infrastructure. You will work on multimodal AI systems that combine language, vision, and agentic reasoning to monitor large physical environments.

The role emphasizes production-grade software and real-world deployment in a fast-moving startup environment, collaborating with robotics and autonomy engineers to scale the platform for diverse industrial settings.