- Prepare, extract, and reintegrate localization files for translation and delivery.
- Develop scripts, templates, workflows, and automation to streamline localization processes and reduce manual effort.
- Support OCR, SRT creation, captioning, and multimedia/eLearning localization projects.
- Partner with LPgMs to support product launches and ensure schedules remain on track.
- Track project status, metrics, and risks; communicate progress to stakeholders.
- Participate in daily/weekly syncs with Localization Program Managers.
- Maintain localization assets, including translation memories, glossaries, and style guides.
- Provide technical support to translators and LPgMs on localization tools and workflows.
- Identify process gaps and proactively design solutions to improve tools and operational efficiency.
- Contribute to cross-team initiatives led by Localization Operations and leadership.
- Select and fine-tune LLMs based on business requirements and use cases, including hyperparameter tuning and performance optimization (latency, accuracy, and resource usage).
- Design and implement scalable, reliable deployment solutions to support variable workloads and high availability.
- Collaborate with data scientists, internal LLMOps teams, and Uber AI stakeholders to gather requirements and deliver production-ready solutions.
- Bachelor's degree (BA/BS) or equivalent practical experience.
- 3+ years of localization engineering experience in the high-tech industry (client or vendor side).
- 1+ year of hands-on experience with machine learning and/or strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Basic knowledge of AWS, GCP, or Azure.
- Familiarity with Docker, Kubernetes, and Jupyter Notebook.
- Experience with scripting languages such as Python, Perl, or JavaScript.
- Expertise with CAT tools and localization pipelines (e.g., Phrase/Memsource, Smartling, Trados).
- Experience managing post-delivery automation (file counts, naming conventions, encoding, etc.).
- Experience using ticketing and bug-tracking tools such as JIRA and Phabricator.
- Experience supporting audio, video, and multimedia localization workflows.
- Experience coordinating localization across UI, Help Center, Marketing, and Legal content.
- Proven experience managing linguistic QA processes and ensuring high-quality deliverables.
- Detail-oriented: Strong focus on accuracy, consistency, and quality.
- Communicator: Excellent written and verbal communication skills.
- Project manager: Able to manage multiple projects and LQA efforts simultaneously.
- Collaborative: Effective team player with experience operating at scale.
- Technically savvy: Comfortable advising on i18n/l10n best practices and QA/testing strategies.
- Adaptable: Quick learner of new tools and systems.
- Quality-driven: Committed to excellence and maintaining Uber's brand standards.
- Passionate: Enthusiastic about Uber's mission and global impact.
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Description
What You'll DoLocalization Engineering (50%)
Education
Cloud & Infrastructure
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