Job Description
<h3>📋 Description</h3> • Our Mission: At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics.
• Our Vision: We see a future where every element of manufacturing, from design to assembly, is optimized with intelligent automation.
• The Role: As an Applied AI Research Engineer, you will play a pivotal role in exploring and implementing innovative AI solutions.
• Work with the engineering teams to collaboratively transform research insights into practical, deployable solutions.
• 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. <h3>🎯 Requirements</h3> • Proven knowledge and demonstrable experience in machine learning, deep learning, computer vision and algorithmic development.
• Experience in applying research to solve complex problems and translate findings into practical implementations.
• Strong understanding of LLMs, VLMs and similar advancements.
• Strong understanding of reinforcement learning (on-off policy, actor-critic and model based).
• Proficient in Python and experience with frameworks like PyTorch, TensorFlow or equivalent.
• Experience with (multi-modal) foundational models.
• Strong analytical and problem-solving skills with attention to detail and creativity.
• Great communicator who can articulate and visually present thoughts and concepts in conversations and reports.
• Decision maker with Occam’s razor being your modus operandi.
• Efficient planner who can determine the most reasonable steps to follow with ease.
• Must have experience:
• 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.
• Good to have experience:
• VLAs and VLMs.
• Solid understanding and experience in robotics is a plus but not mandatory - ROS/ROS2, Behavior Trees.
• Agentic AI <h3>🏖️ Benefits</h3> • Competitive compensation, including equity
• Flexible work environment that values innovation, learning, and excellence