- Demonstrated experience in designing and implementing scalable AI models for production
- Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems
- Experienced leading senior scientists and early-career scientists
- Knowledge of healthcare and experience delivering healthcare AI models are a significant plus
- Masters or Bachelor’s in related field with 5+ years relevant experience
- Develop production code and advocate for the best coding and engineering practices
- Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers
- Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts
- Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production
- Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences
- Lead and mentor both junior and senior applied scientists
Participate in project planning, review, and retrospective sessions *Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**