Sr. Frontend Engineer, Autopilot Labeling Software

Sr. Frontend Engineer, Autopilot Labeling Software

Jobkategori
Engineering & Information Technology
Beliggenhed
Palo Alto, California
Kræver ID
58056
Job type
Full-time
VÆR MED TIL AT SKABE FREMTIDEN

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 Tesla’s 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


Om Tesla

Tesla fremskynder verdens overgang til bæredygtig energi. Vi designer, producerer, sælger og servicerer verdens bedste solcelleteknologi, energiopbevaringssystemer og elektriske biler. Herved giver vi kunderne mulighed for at generere, opbevare og forbruge energi fuldstændig bæredygtigt.

Tesla er engageret i at ansætte og udvikle de bedste talenter fra hele verden indenfor enhver given disciplin. Tesla er baseret i Californien og vores medarbejdere kommer fra fire kontinenter. Vi arbejder på at skabe et inklusivt miljø, hvor alle mennesker uanset køn, race, religion eller baggrund kan udføre deres arbejde bedst muligt.

Vores teams arbejder med en ukonventionel filosofi omkring tværfagligt samarbejde. Hvert medlem af et team forventes at udfordre og blive udfordret, at skabe og innovere. Vi forsøger at løse verdens sværeste og vigtigste problemer — og det ville ikke kunne lade sig gøre uden vores fælles passion for at gøre verden til et bedre sted.

Lær mere om Tesla

Tesla er en arbejdsgiver der følger princippet om lige muligheder og fremmer mangfoldighed på arbejdspladsen. Alle kvalificerede ansøgere vil blive vurderet uden hensyn til race, farve, religion, køn, seksuel orientering, alder, nationalitet, handicap, veteranstatus eller nogen anden form for diskrimination.