Member of Technical Staff, Synthetic Data

Who are we

Our mission is to scale intelligence to serve humanity. Were 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 whats 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 synthetic data you will play a pivotal role in developing the synthetic data pipeline that is crucial to Coheres advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data including maintaining and optimizing the synthetic data pipeline data analysis and generation as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them using generative models to improve token efficiency and model quality. 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 Coheres 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 Synthetic Data you will:

• 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 Coheres 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 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.

Bonus: paper at top-tier venues (such as NeurIPS ICML ICLR AIStats MLSys JMLR AAAI Nature COLING ACL EMNLP).

If some of the above doesnt line up perfectly with your experience we still encourage you to apply!

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!)