Member of Technical Staff, Pre-Training Data

Cohere; Toronto; On-site; CAD 100,000 - 130,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% Parental Leave top-up

6 weeks of vacation

Job summary

Cohere is seeking a Machine Learning Engineer specializing in pretraining data to develop and enhance data pipelines for advanced language models in Toronto. The role involves conducting data ablations, ensuring optimal training efficiency, and collaborating with cross-functional teams.

Candidates should have strong software engineering skills, proficiency in Python, and familiarity with data processing frameworks like Apache Spark. Cohere embraces a remote-friendly culture with inclusive perks and benefits.

Qualifications

• Strong software engineering skills, with proficiency in Python and experience building data pipelines.
• Familiarity with curriculum learning, data mixing and data attribution.
• Experience working with large-scale datasets.

Responsibilities

• Conduct data ablations to assess data quality and experiment with data mixtures.
• Develop robust data modeling techniques for optimal training efficiency.
• Collaborate with teams to ensure data pipelines meet demands.

Skills

Strong software engineering skills

Proficiency in Python

Familiarity with data processing frameworks

Experience with large-scale datasets

Knowledge of data quality assessment techniques

Passion for bridging research and engineering

Tools

Apache Spark

Apache Beam

Pandas

Job description

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

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. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

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 and experimentation with data mixtures.
• A passion for bridging research and engineering to solve complex data‑related challenges in AI model training.

Bonus

Paper at top‑tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full‑Time Employees at Cohere enjoy these Perks:

An open and inclusive culture and work environment

Work closely with a team on the cutting edge of AI research

Weekly lunch stipend, in‑office lunches & snacks

Full health and dental benefits, including a separate budget to take care of your mental health

100% Parental Leave top‑up for up to 6 months

Personal enrichment benefits towards arts and culture, fitness and well‑being, quality time, and workspace improvement

Remote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend

6 weeks of vacation (30 working days!)