Cohere is on a mission to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises aimed at building AI systems for content generation, semantic search, RAG, and agents. We believe our work is crucial for the widespread adoption of AI, and we prioritize contributing to the capabilities of our models and the value they create for our customers.
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As a Senior Member of Technical Staff on our Applied ML team, you will work directly with customers to understand their challenges and design solutions using Large Language Models. In this role, you’ll execute projects from ideation to production while ensuring alignment across cross-functional teams. You will mentor a distributed engineering team and identify opportunities for improvement in existing models. Key responsibilities include:
- Planning and executing large-group projects.
- Collaborating with product teams to develop effective solutions.
- Engaging with partner organizations.
- Assisting legal teams with the preparation of patents.
You may be a good fit if you have:
- Prior experience leading ML teams in applied research and production.
- Experience in technical direction-setting and product refinement.
- Proficiency in Python and related ML frameworks (e.g., TensorFlow, JAX).
- Experience with large-scale distributed training and inference.
- Strong mentorship, communication, and problem-solving skills.
- A demonstrated passion for applied ML models and products.
- Working proficiency in Arabic.
Perks:
- Open and inclusive culture
- Cutting-edge AI research collaboration
- Weekly lunch stipend and in-office meals
- Full health and dental benefits, including mental health support
- Parental leave top-up for 6 months in select countries
- Personal enrichment benefits for wellness, arts, and workspace improvement
- 6 weeks of vacation
- Remote-flexible work arrangements with offices in Toronto, New York, San Francisco, and London
Cohere values diversity and is committed to creating an inclusive work environment for all. We welcome applicants from diverse backgrounds and offer equal opportunities. If you require accommodations during the recruitment process, please let us know.
