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sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training. We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today. Join us and play a pivotal role in transforming the automation landscape in heavy industries.
Job Responsibility:
Data Analysis & Engineering: Analyze and preprocess large-scale, multi-modal datasets including video, radar, and lidar streams
Dataset Generation: Work on self-supervised dataset generation pipelines to train next-generation VLA models
Model Development: Utilize state-of-the-art GenAI tools and frameworks (e.g., HuggingFace, Gemini, Unsloth) to build and refine models
Prompt & Model Optimization: Apply prompt optimization techniques and fine-tuning to improve model reasoning and action generation
Training & Evaluation: Execute training runs, monitor performance, and rigorously evaluate results using new industrial data
Deployment: Assist in optimizing model deployment to ensure reliability and real-time performance in production-grade heavy industry settings
Requirements:
Current Enrollment: Strong academic standing in a Master’s program (Robotics, Computer Science, Electrical Engineering, Automation, or a related field)
Technical Proficiency: Strong hands-on experience with Python and PyTorch
Ownership & Proactivity: Ability to take ownership of your tasks, ability to drive sub-projects from concept to execution with a "getting things done" mentality
GenAI Foundations: A deep interest in Vision-Language Models (VLM) and their application in Robotics and Automation
Project Experience: Initial successful projects or coursework in GenAI, Robotics, or Computer Vision
Nice to have:
Frameworks: Familiarity with GenAI engineering tools such as HuggingFace, Gemini, and Unsloth
Optimization: Experience with prompt optimization techniques and model fine-tuning
Research: Previous machine learning research experience (e.g., publications, high-quality term papers, or a Bachelor’s thesis)
Master’s Thesis: We highly value candidates who plan to write their Master’s Thesis in the field of Robotics and Automation
Long-term Perspective: We are looking for a collaborator who is interested in a long-term journey
a successful internship/working student period is intended to lead into a Master’s Thesis
What we offer:
Attractive compensation package and stock options
Beverages on-site and regular social events
Engage with top-tier researchers, engineers, and thought leaders
Influence the future of robotic technologies and tackle significant technological challenges