
About Cohere
AI solutions built for enterprise trust and security
Key Highlights
- Headquartered in Grange Park, Toronto, ON
- $1.5 billion in funding from top investors
- Clients include Royal Bank of Canada, Fujitsu, and Oracle
- Focus on AI solutions for regulated industries
Cohere, headquartered in Grange Park, Toronto, ON, specializes in enterprise-grade AI solutions tailored for regulated industries such as banking and telecom. With $1.5 billion in funding, Cohere has secured contracts with major clients including Royal Bank of Canada, Fujitsu, and Oracle, providing ...
🎁 Benefits
Cohere offers comprehensive benefits including 100% coverage for health, dental, and vision insurance premiums, a $2,000 annual education benefit, six...
🌟 Culture
Cohere's culture emphasizes security and trust in AI adoption, focusing on enterprise needs rather than consumer trends. The company prioritizes a sup...
Skills & Technologies
Overview
Cohere is hiring a Machine Learning Engineer specializing in synthetic data to develop and manage the synthetic data pipeline for advanced language models. You'll work with Python and generative AI technologies to enhance model quality. This role requires experience in data analysis and machine learning.
Job Description
Who you are
You have a strong background in machine learning and data engineering, with experience in developing and optimizing data pipelines. Your expertise in Python allows you to efficiently manage synthetic data processes, ensuring high-quality outputs for advanced AI models. You understand the importance of data quality and are skilled in conducting data analysis and evaluations to improve model performance. You thrive in collaborative environments, working closely with researchers and engineers to bridge the gap between raw data and cutting-edge AI applications.
You are familiar with generative models and their application in enhancing token efficiency and model quality. Your analytical mindset enables you to tackle complex data challenges, and you are passionate about leveraging synthetic data to drive innovation in AI systems. You are committed to continuous learning and improvement, always seeking to enhance your skills and contribute to the team's success.
What you'll do
In this role, you will be responsible for the end-to-end management of the synthetic data pipeline, which is crucial for Cohere's advanced language models. You will maintain and optimize the pipeline, ensuring it meets the demands of high-quality data generation. Your responsibilities will include data analysis and generation, as well as conducting data ablations and model evaluations to gauge data quality. You will work with diverse web data and code data, transforming them using generative models to improve the overall efficiency and effectiveness of the models.
You will collaborate with a team of researchers and engineers, contributing your insights and expertise to enhance the capabilities of the models. Your work will directly impact the development of AI systems that power magical experiences like content generation and semantic search. You will be encouraged to innovate and explore new methodologies to improve the synthetic data processes, ensuring that Cohere remains at the forefront of AI technology.
What we offer
Cohere provides a supportive and inclusive work environment where you can thrive. We offer a flexible remote work policy, allowing you to balance your professional and personal life effectively. Our benefits include a generous vacation policy, parental leave top-up, and personal enrichment benefits to support your well-being and professional growth. Join us in our mission to scale intelligence and shape the future of AI.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Cohere.
Similar Jobs You Might Like
Based on your interests and this role

Data Engineer
Cohere is hiring a Member of Technical Staff specializing in Data Engineering to develop data pipelines for advanced language models. You'll work with technologies like Airflow and Apache Spark, focusing on data ingestion and optimization. This role requires experience in data management and engineering.

Machine Learning Engineer
Cohere is hiring a Machine Learning Engineer specializing in pre-training data to develop data pipelines for advanced language models. You'll work with Python, TensorFlow, and PyTorch to enhance model performance. This role requires experience in machine learning and data engineering.

Ai Engineer
Poolside is hiring a Member of Engineering focused on Pre-training and Synthetic Data. You'll work on improving the quality of datasets for training AI models in a remote-first environment. This role requires a strong background in engineering and a passion for AI.

Data Scientist
HelloFresh is hiring a Staff Data Scientist to lead AI-driven media optimization initiatives. You'll work with advanced ML models and intelligent systems to enhance marketing strategies. This role requires expertise in AI and machine learning.

Data Scientist
Clutch is hiring a Staff Data Scientist to lead improvements in pricing algorithms and applied machine learning systems. You'll work with technologies like Python and SQL to drive significant business impact. This role requires a strong background in machine learning and data analysis.