Senior Research Scientist, Generative AI

About the Role

Uber AI Solutions is one of Ubers biggest bets with the ambition to build one of the worlds largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation and collection with automation and develop robust automated evaluation systems.

We are in the early stages, with significant opportunities to conduct foundational and applied research in the GenAI space. This includes advanced ML models to enable human-in-the-loop data annotation with advanced automation, develop novel automated evaluation systems, and create new benchmarks for foundational models.

In this role, you will collaborate closely with cross-functional teams to deliver real-world impact through your research. Youll help grow Uber AI Solutions into a leader in the space.

---- What the Candidate Will Do ----

1. Identify and define novel research problems that will benefit from advanced ML expertise.
2. Design and develop a suite of innovative ML models and algorithms to solve these problems.
3. Collaborate with engineering teams to transition research prototypes into production systems.

4. Explore novel ideas and innovative solutions that can lead to a step change in our products and the broader ML community.
5. Work with cross-functional counterparts to understand real-world needs and continuously improve research directions.
6. Publish research findings in top-tier conferences and journals.
7. Keep up to date with the latest ML research and contribute to best practices within the team.

---- Basic Qualifications ----

1. A Ph.D. or Masters in Computer Science, Machine Learning, or a related field.
2. 2+ years of post-PhD or 5+ years of post-Masters research experience in an academic or industrial setting.
3. A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research.
4. Deep expertise in Natural Language Processing (NLP) with a strong grasp of modern Generative AI techniques (e.g., Transformers, Diffusion Models, LLMs).

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---- Preferred Qualifications ----

1. 5+ years of industry or academic research experience in ML/AI.
2. Proven track record of training large models on distributed infrastructure for research purposes.
3. Demonstrated ability to rapidly prototype and iterate on research ideas, signaling curiosity and an experimental approach.
4. Experience collaborating effectively across an organization, not limited to just within teams, to drive research adoption.

Ubers mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - lets move it forward, together.

Offices continue to be central to collaboration and Ubers cultural identity. Unless formally approved to work fully remotely, 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.

.Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .