Member of Technical Staff, Modeling

Cohere
London, Toronto, New York, Montreal, San Francisco, Paris
Workplace: HybridFull timeFunction: QA, Test & Release EngineeringSkills: ["Communication","Collaboration","Problem-solving"]

Design, build, and scale AI systems, applying state-of-the-art models to production. Collaborate with top researchers, explore supercompute and data infrastructure, and contribute production code while advancing research for impactful AI applications.

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FursaFursa
Cohere
Cohere
1 year ago

Member of Technical Staff, Modeling

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design, build, and scale AI systems, applying state-of-the-art models to production. Collaborate with top researchers, explore supercompute and data infrastructure, and contribute production code while advancing research for impactful AI applications.
Location: London, Toronto, New York, Montreal, San Francisco, Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: QA, Test & Release Engineering

Key Responsibilities

  • •Design, build and scale AI systems for serving our users.
  • •Research, implement, and experiment with ideas on our supercompute and data infrastructure.
  • •Learn from and work with the best researchers in the field.

Pay and Benefits

Perks:Health InsuranceDentalParential LeaveMeal AllowanceCo-working StipendRemote Work

Key Requirements

  • •Extremely strong software engineering skills.
  • •Proficiency in Python and ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
  • •Experience writing kernels for GPUs using CUDA.
  • •Experience using large-scale distributed training strategies.
  • •Familiarity with autoregressive sequence models, such as Transformers.
Experience:AIMLMachine learningResearch
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonTensorFlowTF-ServingJAXCUDATransformersXLA/MLIR

Company Brief

Cohere
Builds security-first foundation models and enterprise AI products (LLMs, retrieval, agent platforms) for regulated industries, enabling customizable, private deployments across cloud and on-premises for real-world business applications.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Toronto, Canada
Founded: 2019
Glassdoor
Glassdoor: 2.9
WebsiteLinkedInGlassdoor