5 months ago
Responsibilities
- Develop data generation, post-training algorithms, and evaluation methods for safety in the next generation of large language models.
- Design and conduct experiments addressing new scientific problems in safety for agents.
- Implement engineering solutions needed to test machine learning and safety approaches.
- Analyze messy data and experimental results to improve model quality, fairness, trustworthiness, and security.
- Collaborate with machine learning, data annotation, product, and policy teams.
Requirements
- Strong statistical skills and experience evaluating scientific experiments involving data collection and model performance.
- Extremely strong software engineering skills.
- Strong expertise designing and conducting data collection tasks with human annotators.
- Experience analyzing datasets for quality, bias, and suitability for training machine learning models.
- Hands-on experience training large language models on distributed training infrastructures.
- Familiarity with evaluating and improving the generalizability and robustness of machine learning systems.
- Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and JAX.
- Excellent communication skills for cross-functional collaboration and presenting findings.
- One or more papers at top-tier venues such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, or EMNLP.
Benefits
- Open and inclusive culture and work environment
- Weekly lunch stipend, in-office lunches, and snacks
- Full health and dental benefits, including a separate mental-health budget
- 100% parental-leave top-up for up to six months
- Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible work with offices in Toronto, New York, San Francisco, London, and Paris
- Co-working stipend
- Six weeks of vacation, or 30 working days
Categories
AI ResearchML Engineering
About Cohere
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3