Member of Technical Staff, Pre-Training Data

Cohere; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Cohere, a leading security-first enterprise AI company, is seeking a Machine Learning Engineer focused on pretraining data. You will help build the data pipelines powering Cohere’s language models, conduct data ablations, and craft pre-training data mixtures to improve throughput and model quality.

As a Member of Technical Staff, Pre-Training Data, you will collaborate with researchers and engineers, design robust data models, and apply scalable processing frameworks to large multilingual

Qualifications

• Strong software engineering skills with Python and experience building data pipelines.
• Familiarity with curriculum learning, data mixing, and data attribution.
• Experience with data processing frameworks such as Spark, Beam, or Pandas.
• Experience working with large-scale datasets, including web data, code data, and multilingual corpora.
• Knowledge of data quality assessment techniques.

Responsibilities

• Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.
• Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency.
• Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in NLP.
• Collaborate with cross-functional teams to ensure data pipelines meet the demands of cutting-edge language models.

Skills

Python

Data pipelines

Curriculum learning

Data mixing

Data attribution

Large-scale data

Data quality

Tools

Apache Spark

Apache Beam

Pandas

Job description

Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris.

Join us!

Why this role?

As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.

Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU.

As a Member of Technical Staff, Pre-Training Data, you will:

• Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.
• Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency.
• Research and implement innovative 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.

You may be a good fit if you have:

• Strong software engineering skills, with proficiency in Python and experience building data pipelines.
• Familiarity with curriculum learning, data mixing and data attribution.
• Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
• Experience working with large-scale datasets, including web data, code data, and multilingual corpora.
• Knowledge of data quality assessment techniques