Member of Technical Staff, Data Analysis and Evaluation

London, United KingdomRemote

Responsibilities

- Collaborate with teams to improve dataset quality and model performance.
- Conduct experiments to evaluate model performance and identify areas for improvement.

We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents.
We believe that our work is instrumental to the widespread adoption of AI.
You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems.
This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios.
You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful.
- Analyse and assess the generalisability and robustness of ML systems across diverse use cases.
Experience analysing datasets with respect to their quality, biases, and suitability for training ML models. - Hands-on
- Familiarity with evaluating and improving the generalisability and robustness of ML systems.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment
benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)