Applied Research Engineer – Robotics Data & ML

We are looking for a hands-on Applied Research Engineer with a strong foundation in robotics, machine learning, and multi-sensor data processing to join our Research & Delivery team. This role is ideal for someone with 3–5 years of experience in applied ML, computer vision, or robotic systems who is eager to scale their impact by helping build robust, high-quality datasets that fuel modern perception, SLAM, and manipulation models. You will collaborate closely with ML leads as well as data operations teams to design annotation strategies, contribute to small-scale model fine-tuning, and translate model needs into precise data specifications. This role is both technical and cross-functional— strong communication skills and a collaborative mindset are critical for success. Key responsibilities include ML-Aligned Data Development; Model Support and Fine-Tuning; QA and Annotation Workflow Design; and Cross-Functional Communication. What Success Looks Like: Creating well-documented, technically sound, annotation schemas that support learning, and generalization in robotic tasks. Having clear, constructive, collaboration across ML, and data teams. Building consistent QA workflows and reproducible data practices. Driving measurable improvements in dataset quality and model performance. Demonstrating initiative as well as growth in both ML modeling and data design responsibilities under mentorship of the greater team.