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Senior Member of Technical Staff, Synthetic Data

Cohere· Modeling
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RemoteFull-timePosted 10mo ago

About the role

Senior Machine Learning Engineer specializing in synthetic data, responsible for end-to-end management of the synthetic data pipeline to improve language model training, data quality, and token efficiency. Role blends research and engineering to transform diverse data into high-quality synthetic datasets for cutting-edge NLP models.

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.

Qualifications

  • 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.
  • A passion for bridging research and engineering to solve complex data-related challenges in AI model training.

Skills

Required:PythonData pipelinesApache Spark / Apache Beam / PandasLLMs / large language modelsLLM inference frameworks (vLLM, TensorRT)Multilingual data / web data / code data

Benefits

  • A weekly lunch stipend of $75/£75 or equivalent in local currency.
  • Full health and dental benefits, including a separate budget for mental health.
  • RRSP matching, 401K, Pension Scheme.
  • 100% Parental Leave top-up for up to 6 months, for either parent.
  • Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
  • Education & learning stipend for conferences, courses, and coaching.
  • 6 weeks of paid vacation (30 working days).
  • Budget for traveling to other offices if remote, plus an annual company offsite.
  • Co-working benefit for remote workers and $500 home office stipend.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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