Staff ML Engineer, Synthetic Data Pipelines — Remote

Cohere; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading AI technology firm is seeking a Machine Learning Engineer specializing in synthetic data to develop and manage crucial data pipelines. The role involves maintaining data integrity, conducting evaluations, and transforming diverse datasets using generative models to enhance AI models. Candidates should possess strong software engineering skills and experience with LLMs. This position offers extensive benefits, including remote flexibility and a generous vacation policy.

Benefits

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% Parental Leave top-up

Personal enrichment benefits

Remote-flexible work

6 weeks of vacation

Qualifications

• Proficiency in building data pipelines.
• Experience working with LLMs through projects or contributions.
• Passion for solving data-related challenges in AI training.

Responsibilities

• Design and build scalable inference pipelines on large GPU clusters.
• Conduct data ablations to assess data quality.
• Implement innovative synthetic data curation methods.
• Collaborate with researchers and engineers for data pipeline demands.

Skills

Strong software engineering skills

Proficiency in Python

Data processing frameworks

Experience with LLMs

Familiarity with LLM inference frameworks

Experience with large-scale datasets

Bridging research and engineering

Tools

Apache Spark

Apache Beam

Pandas

Job description

A leading AI technology firm is seeking a Machine Learning Engineer specializing in synthetic data to develop and manage crucial data pipelines. The role involves maintaining data integrity, conducting evaluations, and transforming diverse datasets using generative models to enhance AI models. Candidates should possess strong software engineering skills and experience with LLMs. This position offers extensive benefits, including remote flexibility and a generous vacation policy.