Autopilot - Frontend Engineer Internship (Summer 2022)
Autopilot - Frontend Engineer Internship (Summer 2022) Engineering & Information TechnologyPalo Alto, California ID105819Full-time
Disclaimer:
This position is expected to start around May or June 2022 and continue through the entire Summer term (i.
e.
through August/September) or into early Fall 2022 if available.
We ask for a minimum of 12 weeks, full-time, for most internships.
Please consider before submitting an application.
International Students:
If your work authorization is through CPT, please consult your school before applying.
You must be able to work 40 hours per week.
Many students will be limited to part-time depending on their academic standing.
The Role:
The AI Tooling team is looking for strong frontend engineers to build web applications aimed at training neural networks for Tesla Autopilot.
In this role, youll build labeling tools used by our in-house team of 1k
data annotators.
This software enables large-scale 3D labeling of images and videos captured by Teslas fleet of 1M
vehicles, allowing us to continuously improve Autopilots sense and perception of the world.
You will collaborate closely with other AI teams to build UIs that are integral to our neural network development process.
We have a fast-paced development cycle where you'll be prototyping and shipping new features multiple times daily.
Come join Teslas Autopilot team and help us achieve full self-driving.
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 Tesla Tesla Tesla Autopilot - Frontend Engineer Internship (Summer 2022) Engineering & Information Technology Palo Alto, California ID 105819 Full-time
Disclaimer:
This position is expected to start around May or June 2022 and continue through the entire Summer term (i.
e.
through August/September) or into early Fall 2022 if available.
We ask for a minimum of 12 weeks, full-time, for most internships.
Please consider before submitting an application.
International Students:
If your work authorization is through CPT, please consult your school before applying.
You must be able to work 40 hours per week.
Many students will be limited to part-time depending on their academic standing.
The Role:
The AI Tooling team is looking for strong frontend engineers to build web applications aimed at training neural networks for Tesla Autopilot.
In this role, youll build labeling tools used by our in-house team of 1k
data annotators.
This software enables large-scale 3D labeling of images and videos captured by Teslas fleet of 1M
vehicles, allowing us to continuously improve Autopilots sense and perception of the world.
You will collaborate closely with other AI teams to build UIs that are integral to our neural network development process.
We have a fast-paced development cycle where you'll be prototyping and shipping new features multiple times daily.
Come join Teslas Autopilot team and help us achieve full self-driving.
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 Recommended Skills Artificial Intelligence Artificial Neural Networks Backend Css Computer Vision Data Visualization Estimated Salary: $20 to $28 per hour based on qualifications.
Disclaimer:
This position is expected to start around May or June 2022 and continue through the entire Summer term (i.
e.
through August/September) or into early Fall 2022 if available.
We ask for a minimum of 12 weeks, full-time, for most internships.
Please consider before submitting an application.
International Students:
If your work authorization is through CPT, please consult your school before applying.
You must be able to work 40 hours per week.
Many students will be limited to part-time depending on their academic standing.
The Role:
The AI Tooling team is looking for strong frontend engineers to build web applications aimed at training neural networks for Tesla Autopilot.
In this role, youll build labeling tools used by our in-house team of 1k
data annotators.
This software enables large-scale 3D labeling of images and videos captured by Teslas fleet of 1M
vehicles, allowing us to continuously improve Autopilots sense and perception of the world.
You will collaborate closely with other AI teams to build UIs that are integral to our neural network development process.
We have a fast-paced development cycle where you'll be prototyping and shipping new features multiple times daily.
Come join Teslas Autopilot team and help us achieve full self-driving.
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 Tesla Tesla Tesla Autopilot - Frontend Engineer Internship (Summer 2022) Engineering & Information Technology Palo Alto, California ID 105819 Full-time
Disclaimer:
This position is expected to start around May or June 2022 and continue through the entire Summer term (i.
e.
through August/September) or into early Fall 2022 if available.
We ask for a minimum of 12 weeks, full-time, for most internships.
Please consider before submitting an application.
International Students:
If your work authorization is through CPT, please consult your school before applying.
You must be able to work 40 hours per week.
Many students will be limited to part-time depending on their academic standing.
The Role:
The AI Tooling team is looking for strong frontend engineers to build web applications aimed at training neural networks for Tesla Autopilot.
In this role, youll build labeling tools used by our in-house team of 1k
data annotators.
This software enables large-scale 3D labeling of images and videos captured by Teslas fleet of 1M
vehicles, allowing us to continuously improve Autopilots sense and perception of the world.
You will collaborate closely with other AI teams to build UIs that are integral to our neural network development process.
We have a fast-paced development cycle where you'll be prototyping and shipping new features multiple times daily.
Come join Teslas Autopilot team and help us achieve full self-driving.
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 Recommended Skills Artificial Intelligence Artificial Neural Networks Backend Css Computer Vision Data Visualization Estimated Salary: $20 to $28 per hour based on qualifications.
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