Jobs
Required skills
Python
Machine Learning
Tesla is building robust embodied intelligence through autonomous driving and humanoid robots. Core to reaching this goal is developing intelligent agents that see, move, and speak in the real world. In this role, you’ll architect and deploy models that allow our agents to listen, understand, and respond in real time powered by our custom AI chip on our embodied products. Your work will be central to making Optimus or our cars as seamless as talking to a friend. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications and millions of cars.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$176,000 - $420,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
, Tesla
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About Tesla

Tesla
PublicA financial leasing taxi company that provides vehicles to customers
140,000+
Employees
Ciudad De Panamá
Headquarters
$800B
Valuation
Reviews
3.8
10 reviews
Work-life balance
2.2
Compensation
3.8
Culture
3.5
Career
4.1
Management
2.8
65%
Recommend to a friend
Pros
Innovative projects and cutting-edge technology
Great team and supportive colleagues
Opportunities for growth and learning
Cons
Long hours and poor work-life balance
High pressure and tight deadlines
Management issues and high expectations
Salary Ranges
1,398 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Annotation Specialist
373 reports
$49,465
total per year
Base
$49,465
Stock
-
Bonus
-
$35,995
$67,975
Interview experience
4 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Take-home Assignment
5
Panel Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Machine Learning Concepts
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