Applied Machine Learning Engineer

Cohere
London, Edinburgh, Paris, Berlin
Workplace: OnsiteFull timeFunction: OtherSkills: ["Mentorship","Communication","Problem-solving"]

Join Cohere as a Member of Technical Staff on the Applied ML team to lead ML initiatives, guide technical direction, and work closely with cross-functional teams to design and implement solutions using Large Language Models for enterprise customers.

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FursaFursa
Cohere
Cohere
11 months ago

Applied Machine Learning Engineer

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Last checked: 1 hour agoStatus: Live

Job Summary

Join Cohere as a Member of Technical Staff on the Applied ML team to lead ML initiatives, guide technical direction, and work closely with cross-functional teams to design and implement solutions using Large Language Models for enterprise customers.
Location: London, Edinburgh, Paris, Berlin
Workplace: Onsite
Employment Type: Full time

Key Responsibilities

  • •Plan and execute large-group projects that carry through from ideation to production.
  • •Bring cross-functional alignment across engineering, product and other disciplines.
  • •Mentor a distributed team of engineers in subject matter expertise.
  • •Identify opportunities and gaps in existing models and strategize what to work on.
  • •Work closely with product teams to develop solutions.

Pay and Benefits

Perks:Remote WorkHealth InsuranceDentalParental LeaveCo-working Stipend

Key Requirements

  • •Prior experience in leading ML teams in applied research and production.
  • •Prior experience in setting as well as executing technical direction to build new or to refine existing products.
  • •Prior experience in working cross-discipline in matrixed organizations.
  • •Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
  • •Experience using large-scale distributed training and inference.
Experience:Applied MLEnterprise AI
Skills:MentorshipCommunicationProblem-solving
Tech Stack:PythonTensorFlowTF-ServingJAXXLAMLIRDistributed trainingInference

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
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