About the Role
Lead high-impact research initiatives in machine learning and natural language understanding, driving innovation from concept to production deployment.
Responsibilities
- Design and execute novel research in machine translation and sequence modeling
- Develop scalable algorithms for multilingual natural language processing
- Collaborate with engineering teams to integrate research into production systems
- Publish findings in top-tier academic venues
- Mentor junior researchers and contribute to team knowledge sharing
- Identify emerging research directions and technological opportunities
- Evaluate model performance across diverse language pairs and domains
- Contribute to the architecture of large-scale AI systems
- Lead long-term research planning and strategy
- Work closely with product teams to align research with user needs
- Ensure research outputs meet scientific and ethical standards
- Drive improvements in model efficiency and inference speed
- Explore low-resource language modeling techniques
- Investigate domain adaptation and transfer learning methods
- Conduct error analysis to guide model development
- Participate in cross-team technical discussions
- Maintain awareness of advancements in AI research
- Support the development of research infrastructure
- Contribute to intellectual property development
- Promote reproducibility and open science practices
Nice to Have
- Postdoctoral or industry research experience
- Leadership role in major research projects
- Experience shipping AI products at scale
- Contributions to open-source research tools
- Multilingual capabilities
- Familiarity with speech processing technologies
- Experience with low-resource language challenges
- Background in formal linguistics
- Knowledge of model interpretability methods
- Patents or significant technical reports
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative research and engineering environment with interdisciplinary teams
Research Focus
- Primary focus on improving accuracy, fluency, and robustness in machine translation systems
- Exploration of unsupervised and semi-supervised learning for language models
Impact
- Research directly influences products used by millions worldwide
- Opportunity to shape the future of cross-lingual communication
Available for qualified candidates
