Senior Member of Technical Staff, Synthetic Data

Cohere
Toronto, New York, London, Paris, Montreal
Workplace: RemoteFull timeFunction: QA, Test & Release EngineeringSkills: ["Python","Apache Spark","Apache Beam","Pandas","VLLM","TensorRT"]

Machine Learning Engineer focused on synthetic data pipelines for Cohere’s language models. You’ll design scalable GPU-leaning inference pipelines, perform data ablations and quality assessments, explore synthetic data curation methods, and collaborate with researchers and engineers to ensure data pipelines meet the demands of cutting-edge NLP models.

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Cohere
Cohere
9 months ago

Senior Member of Technical Staff, Synthetic Data

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Last checked: 19 hours agoStatus: Live

Job Summary

Machine Learning Engineer focused on synthetic data pipelines for Cohere’s language models. You’ll design scalable GPU-leaning inference pipelines, perform data ablations and quality assessments, explore synthetic data curation methods, and collaborate with researchers and engineers to ensure data pipelines meet the demands of cutting-edge NLP models.
Location: Toronto, New York, London, Paris, Montreal
Workplace: Remote
Employment Type: Full time
Job Function: QA, Test & Release Engineering

Key Responsibilities

  • •Design and build scalable inference pipelines that run on large GPU clusters.
  • •Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.
  • •Research and implement innovative synthetic data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.
  • •Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
  • •Analyze and generate synthetic data and evaluate data quality to improve training metrics like throughput and accelerator utilization.

Pay and Benefits

Perks:Health InsuranceDentalParental LeaveRemote WorkPaid Leave

Key Requirements

  • •Strong software engineering skills, with proficiency in Python and experience building data pipelines.
  • •Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
  • •Experience working with LLMs through work projects, open-source contributions or personal experimentation.
  • •Familiarity with LLM inference frameworks such as vLLM and TensorRT.
  • •Experience working with large-scale datasets, including web data, code data, and multilingual corpora.
Experience:AINLPMachine learning
Skills:PythonApache SparkApache BeamPandasVLLMTensorRT
Tech Stack:PythonApache SparkApache BeamPandasVLLMTensorRT

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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