Note: this is not a live role currently, but an application pool for future opportunities. The role involves designing and implementing novel research ideas and shipping state-of-the-art models to production, with deep ties to academia.
Stack
Responsibilities
- ▹Design, build and scale AI systems for serving users
- ▹Research, implement and experiment with ideas on supercompute and data infrastructure
- ▹Learn from and work with the best researchers in the field
Requirements
- ▹Extremely strong software engineering skills
- ▹Proficiency in Python and related ML frameworks such as TensorFlow, TF-Serving, JAX and XLA/MLIR
- ▹Experience writing GPU kernels using CUDA
- ▹Experience using large-scale distributed training strategies
- ▹Familiarity with autoregressive sequence models such as Transformers
Nice to have
- ▹Paper at a top-tier venue (NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
Soft skills
Open to colleagues from a wide variety of backgroundsSelf-driven in proposing research ideas
What we offer
- ▹Weekly lunch stipend of $75/£75 or local currency equivalent
- ▹Full health and dental benefits, plus 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 and learning stipends
- ▹6 weeks of paid vacation (30 working days)
- ▹Travel budget, annual company offsite, $500 home office stipend, remote-friendly culture
About the company
Cohere is the leading security-first enterprise AI company, building cutting-edge foundation models and end-to-end products that solve real-world business problems. Co-headquartered in Toronto and San Francisco, with offices in London, New York City, Montreal, Seoul, Germany and Paris.
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