Localization Technical Program Manager

6 days ago

Toronto, Canada Uber Full time

**About the Role**
- 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.

**Basic Qualifications**:

- Hands-on Python development skills.
- Understanding of localization, internationalization, and end-to-end operations.
- Experience in building, training, and fine-tuning MT and LLM models.
- Knowledge of GenAI and its integration into localization tech stacks.

**Preferred Qualifications**:

- A Computer Science degree or equivalent.
- Experience working in the high-tech industry with at least 10,000 employees, whether from a client or vendor perspective.
- Led several programs spanning two or more quarters, involving 2+ cross-team collaborations.Understanding of NLP and proficiency in writing Python scripts using PyTorch and other Python ML libraries.

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