Amazon Web Services (AWS), Artificial Intelligence (AI), CSS (Cascading Style Sheet), Cloud Computing, Computer Science, Elasticsearch, GCP (Good Clinical Practices), Microsoft Windows Azure, MySQL, PostgreSQL, Redis, Robotics, Software Engineering, Training Data Sets, Training Tools, User Interface Tools, User Interface/Experience (UI/UX), Web Interface, Web Programming
LOCATION
San Jose, CA
POSTED
30+ days ago
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. Its time to build.
Figures vision is to deploy autonomous humanoids at a global scale. Our Helix team is seeking an experienced Frontend Engineer to enhance our internal, web-based data and AI training tools. This role focuses on developing intuitive web interfaces that support key AI research functions, including robot data annotation, training dataset visualization, and experiment tracking. The ideal candidate has experience building rich, interactive web interfaces using React and TypeScript.
Responsibilities
Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking
Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles
Integrate AI models to automate manual tasks
Work together with AI researchers, robot operators, and annotators to support new user experiences
Requirements
Strong software engineering fundamentals
Bachelors or Masters degree in Computer Science, Robotics, Engineering, or a related field
Minimum of 4 years of professional, full-time experience building rich, interactive web interfaces
Proficiency in React and TypeScript
Bonus Qualifications
Experience using data stores (Postgres, MySQL, ElasticSearch, Redis, etc.)
Experience building data annotation and dataset management tools
The US base salary range for this full-time position is between $150,000 - $250,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.