Member of Technical Staff, Next Generation Agents @ Cohere
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About Cohere
Our mission is to scale intelligence to serve humanity. Cohere trains and deploys frontier models for developers and enterprises building AI systems for content generation, semantic search, RAG, and agents. We believe our work is key to fostering the widespread adoption of AI while moving fast to deliver the best for our customers.
Why this role?
The Next Generation Agents team is on the frontier of enhancing agent capabilities with techniques such as deep-research, learning-from-experience, continual learning, and memory. As a Member of Technical Staff, you will design and develop novel agentic solutions, improve state-of-the-art methods, and collaborate with multiple teams to build production-ready models including SFT and RL-based enhancements.
Responsibilities
- Design and develop novel agentic solutions
- Improve state-of-the-art on challenging agent tasks
- Research next-generation online learning-from-experience techniques
- Collaborate with partner teams to enhance agent systems
- Build models powering agentic solutions with advanced data-generation techniques
Qualifications
- Strong software engineering skills
- Proficiency in Python with ML libraries like PyTorch and NumPy
- Experience with LLMs and agentic frameworks
- Experience with post-training techniques such as SFT, PEFT, or RL
- Familiarity with synthetic data generation pipelines
Culture & Benefits
Cohere embraces diversity and an inclusive work environment, offering remote flexibility complemented by global offices in London, Paris, Toronto, San Francisco, and New York. Enjoy perks like weekly lunch stipends, full health benefits, parental leave, personal enrichment benefits, and generous vacation.
Key skills/competency
- AI
- LLMs
- Python
- ML
- Agentic systems
- RL
- SFT
- Data generation
- Research
- Collaboration
How to Get Hired at Cohere
🎯 Tips for Getting Hired
- Customize your resume: Tailor your experience with Python, ML, and LLMs.
- Highlight research skills: Emphasize agentic solutions and post-training work.
- Leverage project examples: Show practical outcomes from collaborations.
- Prepare for technical interviews: Focus on algorithm design and coding challenges.