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Overview
Cohere is seeking a Senior Engineer for the Member of Technical Staff role, focusing on AI systems and production environments. Join a global team dedicated to building cutting-edge AI models and solutions. Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
As a Member of Technical Staff, you will
- •Design and write high-performing and scalable software for training models.
- •Develop new tools to support and accelerate research and LLM training.
- •Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.).
- •Research, implement, and experiment with ideas on our cluster and data infrastructure.
- •Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS
- •A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- •Full health and dental benefits, including a separate budget for mental health.
- •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, quality time, and a workspace improvement credit.
- •Education & learning stipend for conferences, courses, and coaching.
- •6 weeks of paid vacation (30 working days!)
- •Budget for traveling to other offices if you are remote, plus an annual company offsite.
You are an ideal candidate if you have
- •Extremely strong software engineering skills.
- •Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.
- •Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.
- •Experience using and debugging large-scale distributed training strategies (memory/speed profiling).
- •Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).
- •Experience in ML and LLM academic research.