Machine Learning Engineering II - Computer Vision Research

About the Role

You will be an ML engineer doing Autonomous Vehicles related research. An ideal candidate will drive foundational and applied research that advances the capabilities of next-generation autonomous systems.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

• Work on cutting edge research problems in the Autonomous Vehicles domain.
• Publish papers in ML conferences.
• Collaborate with the engineering team to productionize research ideas.

Basic Qualifications

Preferred Qualifications

For Sunnyvale, CA-based roles : The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https : / / www.uber.com / careers / benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remote, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

#J-18808-Ljbffr