At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost.
We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.
The Role:As an Applied AI Research Engineer, you will play a pivotal role in exploring and implementing innovative AI solutions for our advanced robotics platform and more broadly in embodied AI.
This position offers the opportunity to tackle interesting challenges and transform the latest research into impactful, real-world solutions.
What you will do:Perform research and development in the following areas:
Foundational models, VLAs, VLMs, LLMs: Work with the latest advances in embodied AI to accomplish tasks naturally and accurately with our robots.
Reinforcement Learning: Explore and implement effective and applicable control strategies for robotic manipulation.
Sim2Real: Bridge the simulation-to-reality gap for robust model deployment by leveraging synthetic data.
Work with the engineering teams to collaboratively transform research insights and latest developments into practical, deployable solutions.
You have proven knowledge and demonstrable experience in machine learning, deep learning, computer vision and algorithmic development.
You have experience in applying research to solve complex problems and translate findings into practical implementations.
You have a strong understanding of LLMs, VLMs and similar advancements.
You have a strong understanding of reinforcement learning (on-off policy, actor-critic and model based).
You are proficient in Python and have experience with frameworks like PyTorch, TensorFlow or equivalent.
You have experience with (multi-modal) foundational models.
You can demonstrate strong analytical and problem-solving skills with attention to detail and creativity.
You are a great communicator who can articulate and visually present thoughts and concepts in conversations and reports.
You are a decision maker with Occam’s razor being your modus operandi.
You consider yourself as an efficient planner who can determine the most reasonable steps to follow with ease.
Python
AI frameworks and platforms such as PyTorch, TensorFlow and Huggingface.
Experience with Conda, Docker, Linux, Git and Jira - or a similar tool.
Experience with AWS / GCE / Azure for AI workflows.
VLAs and VLMs.
A solid understanding and experience in robotics is a plus but not mandatory - ROS/ROS2, Behavior Trees
Agentic AI
Play a pivotal role in defining the future of intelligent robotics and manufacturing.
Be part of a company that is at the forefront of technological innovation, with a clear mission and vision.
Competitive compensation, including equity, and a flexible work environment that values innovation, learning, and excellence.
Top Skills
What We Do
Intelligent robotics transforming manufacturing.
