Localization Technical Program Manager II

About the Role

Uber’s Localization Team is looking for a Localization Technical Operations Program Manager with strong ML expertise. You’ll define and drive the mission for our Machine Translation (MT) and Large Language Model (LLM) initiatives, focusing on translation quality, scalability, and cost-efficiency. In this role, you'll lead research into MT and LLM models, ensuring they meet the needs of internal and external clients. You’ll collaborate with the Localization team, cross-functional partners, vendors, and MLOps/LLMOps specialists to develop in-house MT and LLM solutions that enhance global communication and support Uber’s localization excellence.

What You Will Do

• Program Development and Execution: Design and implement comprehensive MT and LLM programs that serve both Uber's internal operations and our external clients, ensuring these programs support our global communication and localization strategies effectively.
• Integration and Technical Liaison: Build seamless integration points between Uber’s internal services and tools, connecting them to our MT/LLM pipeline. Act as a technical liaison for customers and external clients, gathering requirements and discussing potential integration points to optimize our MT/LLM pipeline’s efficiency and utility.
• Best Practices and Guidelines: Establish and define MT-only and MT + LLM best practices for all clients, whether new or existing, to ensure consistency, quality, and efficiency in our localization efforts.
• Model Selection and Evaluation: Work closely with Localization Operations (LocOps) and ML/LLM/AI engineers to select, evaluate, analyze, train, and deploy the most effective MT and LLM models. Your goal will be to enhance both internal and external localization processes.

What You’ll Need

• Bachelor’s degree in Computer Science or related field

• 2+ years running MT/ML/AI programs and 1+ year in localization within the high-tech industry (client or vendor side)

• Strong understanding of MT engines, LLM models (size, cost, training, use cases), NLP, and computational aspects

• Proficiency in scripting languages (Python, Perl, Go, Ruby, Postman, SQL) - strong Python is required

• Ability to streamline processes, optimize workflows, and navigate ambiguity with minimal guidance

• Solid grasp of localization operations and internationalization processes

• Strong analytical, problem-solving, and business judgment skills

• High attention to detail, quality-focused, proactive, and a team player

• Excellent communication skills and ability to manage internal and external stakeholders

• Passion for Uber’s mission and a self-directed, initiative-driven approach

• English Proficiency

Bonus Points

• 3+ years AI/ML experience leading MT/LLM programs on the client side

• Experience pre-training and fine-tuning multilingual LLMs using few-shot learning, RAG, or similar techniques

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Offices continue to be central to collaboration and Uber’s 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 accommodations@uber.com.