Remote Software engineering Jobs · Distributed Training

Job listings

Global 6w PTO 26w maternity 26w paternity

  • Design and write high-performing, scalable software for training models.
  • Develop new tools to support and accelerate research and LLM training.
  • Collaborate with engineering and scientific teams to create a strong post-training ecosystem.

Cohere is a security-first enterprise AI company building cutting-edge foundation models and end-to-end products to solve real-world business problems. They are a global team of researchers, engineers, and designers passionate about their craft, with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.

North America Unlimited PTO

  • Build reference architectures, benchmarks, and documentation that engineers trust.
  • Own the developer community, answering hard questions and setting the tone.
  • Write production-grade code for integrations and tooling that lower the barrier for new users.

Andromeda Cluster gives early-stage startups access to scaled AI infrastructure once reserved for hyperscalers. We are a unicorn with a small senior team, building the liquidity layer for global AI compute.

  • Develop and scale latent video diffusion models for human-centric video generation.
  • Lead end-to-end applied research and engineering projects from hypothesis to production.
  • Optimize distributed training and inference for large-scale deployment.

They develop production-grade foundation models for human-centric video generation. The team operates in a high-ownership, fast-paced environment with a focus on safety and ethics.

Global 6w PTO 26w maternity 26w paternity

  • Design and write high-performing scalable software for training models.
  • Develop new tools to support and accelerate research and LLM training.
  • Collaborate with engineering teams and scientific teams to implement experiments on cluster and data infrastructure.

Cohere is a security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products for real-world business problems. The company is a global team of researchers, engineers, and designers passionate about AI, headquartered in Toronto with offices worldwide.

  • Design, train, and improve large-scale machine learning models for recommendation and personalization, leveraging modern deep learning architectures.
  • Own end-to-end delivery of major ML system components, from problem framing to production rollout, with cross-functional partners.
  • Optimize distributed training, model efficiency, and online inference performance while ensuring low-latency, high-throughput production systems.

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