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
- Ph.D., M.S. or Bachelor’s degree in Computer Vision, Computer Science, Machine Learning, or equivalent technical background with exceptional demonstrated impact
- 2 years of experience in developing and deploying machine learning models
- Proficiency in programming languages such as Python, Scala, Java, or Go
- Publications in top ML conferences.
- Deep understanding in computer vision and large language models.
- Proficient in prototyping research ideas using popular deep learning frameworks.
- — Preferred Qualifications —-
- Experience with Autonomous Vehicles related research.
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., 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.