About the Role

The candidate hired for this role will contribute to the design, development, optimization, and productionization of machine learning (ML) or ML-based solutions and systems that are used within a team to solve well-defined problems leveraging the support and guidance of others on the team. They will also learn to use and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.

About the Team

At Uber, engineers address a wide variety of bold problems and situations as we continue to innovate and develop products. We are on the lookout for individuals who demonstrate exceptional problem-solving skills, critical thinking, and a strong foundation in coding. This role offers the opportunity to work across all levels of the ML stack, spanning from infrastructure to ML model development and productionisation.

What the Candidate Will Do

• Develop and productionize machine learning algorithms for multiple business problems

• Deeply engage with product datasets analyze them to understand and drive product insights, further model iterations.

• Continuously innovate and apply state-of-the-art ML algorithms at Uber Scale.

Minimum Qualifications

• Bachelor's or Master's degree in Machine Learning, Computer Science, or a related technical field, or equivalent experience in an engineering related bootcamp

• Must have a graduation date in 2023 or 2024

• Working knowledge of contemporary machine learning and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX)

• If selected, must be willing to start the role in 2024

Preferred Qualifications

• Knowledge of Multimodal Classification (Natural Language Processing, Computer Vision)

• Experience building reusable embeddings, applications and fine tuning of large language models.

• Deep understanding of all aspects of machine learning model lifecycles (from prototypes, feature engineering, training, inference, deployment, monitoring).

• Proficient experience with one or more of the following programming languages: Java, Go, C/C++, Python, Ruby, etc.

• Strong statistical and experimental foundation and acumen to develop insights from data.

For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$147,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$147,000 per year. For all US locations, 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 is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform