Senior Platform Engineer, ML Data Systems

Senior Platform Engineer, ML Data SystemsThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Platform Engineer, ML Data Systems in Canada.This role offers an exciting opportunity to lead the development and management of large-scale ML data systems that directly support AI-driven education tools. You will work closely with cross-functional teams to design, deploy, and maintain dataset management pipelines that enable robust, accurate, and diverse training data for machine learning models. In a collaborative, remote-first environment, you will contribute to the evolution of internal tools, implement data governance practices, and ensure high-quality, reproducible datasets. This position requires hands-on engineering, problem-solving, and a focus on scalable solutions that empower AI systems to learn effectively. You will have the chance to influence system architecture, optimize data workflows, and support meaningful educational impact worldwide.Accountabilities:Design, build, and maintain pipelines that transform raw trace data into ML-ready datasets.Clean, normalize, and enrich data while preserving semantic integrity and consistency.Prepare datasets for human labeling and integrate labeled results into ML workflows.Develop scalable ETL pipelines using tools such as Airflow, DBT, Go, and Python on GCP.Implement automated tests and validations to detect data drift and labeling inconsistencies.Collaborate with AI engineers, platform developers, and product teams to define data strategies and ensure data quality.Contribute to shared tools, documentation, and training for dataset management and AI evaluation.Advise on data governance strategies, including PII controls, retention, and handling of sensitive datasets.Requirements:Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.5+ years of software engineering experience, including 3+ years working with large ML datasets from open-source repositories such as Hugging Face.Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (Airflow, Dagster, Prefect).Experience with data versioning tools (DVC, LakeFS) and cloud storage systems.Familiarity with end-to-end machine learning workflows, from data preparation to evaluation.Understanding of large language model architectures, operations, and limitations.Attention to detail with a focus on data quality, reproducibility, and reliability.Proven ability to work inclusively across diverse, cross-cultural teams.Preferred: experience with labeling platforms, human-in-the-loop systems, ML evaluation techniques, MLOps practices, or educational technology applications.Benefits:Competitive salary and comprehensive total rewards package.Remote-first culture with flexible scheduling aligned to your time zone.Ample paid time off and additional wellness days to support work-life balance.Generous parental leave and professional development opportunities.Collaborative, diverse, and inclusive work environment.Opportunity to work on high-impact AI products that improve global education outcomes.Access to standard benefits such as retirement plans, medical, dental, vision, and life insurance.Why Apply Through Jobgether?We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the bestData Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1PI44d9fd31fc24-30511-39224147