Member of Technical Staff, MLE

Stack

Responsibilities

• ▹Contribute to the design and delivery of custom LLM solutions for enterprise customers
• ▹Translate ambiguous business problems into well-framed ML problems with clear success criteria
• ▹Build custom models using Cohere's foundation model stack, CPT recipes and post-training pipelines (including RLVR)
• ▹Develop state-of-the-art modeling techniques that improve model performance for customer use cases
• ▹Contribute improvements back to the foundation model stack, including new capabilities, tuning strategies and evaluation frameworks
• ▹Work with Cohere's customer-facing MLE team to identify high-value LLM opportunities

Requirements

• ▹Strong ML fundamentals and the ability to frame ambiguous problems as ML solutions
• ▹Fluency with Python and core ML/LLM frameworks
• ▹Experience with (or the ability to learn) large-scale datasets and distributed training or inference pipelines
• ▹Understanding of LLM architectures, tuning techniques (CPT, post-training) and evaluation methodologies
• ▹Demonstrated ability to meaningfully shape LLM performance

Soft skills

What we offer

• ▹Weekly lunch stipend ($75/£75 or equivalent in local currency)
• ▹Full health and dental benefits, including a separate mental health budget
• ▹RRSP matching, 401K, pension scheme
• ▹100% parental leave top-up for up to 6 months, for either parent
• ▹Annual enrichment benefits (arts & culture, fitness/wellness, workspace improvement)
• ▹Education and learning stipend for conferences and courses
• ▹6 weeks of paid vacation (30 working days)
• ▹Travel budget to other offices for remote employees, plus an annual company offsite
• ▹$500 home office stipend

About the company

Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products that solve real-world business problems for enterprises building AI systems. The team spans researchers, engineers and designers, co-headquartered in Toronto and San Francisco, with offices in London, New York City, Montreal, Seoul, Germany and Paris.