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Tesla

Frontend Engineer, Autopilot

Tesla, Stanford, California, United States, 94305


**Frontend Engineer, Autopilot**Job CategoryEngineering & Information TechnologyLocationPalo Alto, CaliforniaReq. ID58056Job TypeFull-time Tesla participates in the**The Role:**As a member of the Autopilot AI Tooling team you will design and implement a diverse set of tools that power our machine learning workflows. You will work closely with some of the best, world-class AI researchers and machine learning experts towards Teslas goal of a self-driving future.The AI Tooling team is a central part of the Autopilot AI. The systems you build will have a target impact on our fleets ability to sense and perceive the world around it. Our team's tools help us automate the entire workflows of training, validation, and production of the Autopilot neural networks.As an engineer on the AI Tooling team, you'll bring top-notch software engineering skills to contribute to our tooling systems immediately. Knowledge of machine learning, computer vision, or neural networks is a plus but not required. That can be learned on the job as you work with our machine learning experts. A strong candidate for the AI Tooling team will either be an excellent software generalist, or someone who is exceptionally strong in either backend or frontend engineering.**Responsibilities:*** Design and implement web-based tools for data visualization and data labeling.* Work closely with data analysts to understand UX challenges and suggest improvements.* Work closely with backend engineers to seamlessly integrate with frontend systems.* Work closely with AI researchers to build efficient and intuitive UI that accelerate their workflows.**Requirements:*** BS/MS in Computer Science or related area, with strong frontend engineering experience.* Strong understanding of JavaScript (ES6+), CSS, and HTML.* Experience building modern web applications using React/Redux or similar component based libraries.* Strong UI and graphic design sensibilities.**Extra but not required:*** Experience with OpenGL, WebGL, or THREE.js* Knowledge of machine learning, computer vision, or neural networks is a plusTesla participates in theTesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.For quick access to screen reading technology compatible with this site (free step-by-step ).**Frontend Engineer, Autopilot**Job Category Engineering & Information Technology Location Palo Alto, California Req. ID 58056 Job Type Full-time **The Role:**As a member of the Autopilot AI Tooling team you will design and implement a diverse set of tools that power our machine learning workflows. You will work closely with some of the best, world-class AI researchers and machine learning experts towards Teslas goal of a self-driving future.The AI Tooling team is a central part of the Autopilot AI. The systems you build will have a target impact on our fleets ability to sense and perceive the world around it. Our team's tools help us automate the entire workflows of training, validation, and production of the Autopilot neural networks.As an engineer on the AI Tooling team, you'll bring top-notch software engineering skills to contribute to our tooling systems immediately. Knowledge of machine learning, computer vision, or neural networks is a plus but not required. That can be learned on the job as you work with our machine learning experts. A strong candidate for the AI Tooling team will either be an excellent software generalist, or someone who is exceptionally strong in either backend or frontend engineering.**Responsibilities:*** Design and implement web-based tools for data visualization and data labeling.* Work closely with data analysts to understand UX challenges and suggest improvements.* Work closely with backend engineers to seamlessly integrate with frontend systems.* Work closely with AI researchers to build efficient and intuitive UI that accelerate their workflows.**Requirements:*** BS/MS in Computer Science or related area, with strong frontend engineering experience.* Strong understanding of JavaScript (ES6+), CSS, and HTML.* Experience building modern web applications using React/Redux or similar component based libraries.* Strong UI and graphic design sensibilities.**Extra but not required:*** Experience with OpenGL, WebGL, or THREE.js* Knowledge of machine learning, computer vision, or neural networks is a plus