Senior Platform Engineer, ML Data Systems

Job not on LinkedIn

5 hours ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $137.9k - $172.3k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Khan Academy Türkçe

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Education

Khan Academy Türkçe is a free educational platform, offering thousands of instructional videos and interactive exercises in Turkish. It serves as both a personal learning resource and a classroom educational tool, covering a wide range of subjects including mathematics, science, computer science, arts, and humanities. The platform caters to all educational levels from elementary to university and emphasizes personalized learning with a vast library that continues to grow as more content is translated into Turkish. Khan Academy Türkçe aims to provide world-class education to anyone, anywhere, without cost, and is utilized by millions of students and teachers across Turkey.

11 - 50 employees

Founded 2012

📚 Education

📋 Description

• Evolve and maintain pipelines for transforming raw trace data into ML-ready datasets. • Clean, normalize, and enrich data while preserving semantic meaning and consistency. • Prepare and format datasets for human labeling, and integrate results into ML datasets. • Develop and maintain scalable ETL pipelines using Airflow, DBT, Go, and Python running on GCP • Implement automated tests and validation to detect data drift or labeling inconsistencies. • Collaborate with AI engineers, platform developers, and product teams to define data strategies in support of continuously improving the quality of Khan’s AI-based tutoring. • Contribute to shared tools and documentation for dataset management and AI evaluation. • Inform our data governance strategies for proper data retention, PII controls/scrubbing, and isolation of particularly sensitive data such as offensive test imagery

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. • 5 years of Software Engineering experience with 3+ of those years working with large ML datasets, especially those in open-source repositories such as Hugging Face • Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (e.g., Airflow, Dagster, Prefect). • Experience with data versioning tools (e.g., DVC, LakeFS) and cloud storage systems. • Familiarity with machine learning workflows — from training data preparation to evaluation. • Familiarity with the architecture and operation of large language models, and a nuanced understanding of their capabilities and limitations. • Attention to detail and an obsession with data quality and reproducibility. • Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere." • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization. • Experience with labeling platforms (e.g., Label Studio, Scale AI, Toloka) or human-in-the-loop systems. • Understanding of ML evaluation techniques, including prompt-based and generative model metrics. • Exposure to MLOps practices such as model registry, feature store, or continuous evaluation. • Background in education technology or other human-centered AI applications.

🏖️ Benefits

• Competitive salaries • Ample paid time off as needed – Your well-being is a priority • 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost • Remote-first culture - that caters to your time zone, with open flexibility as needed, at times • Generous parental leave • An exceptional team that trusts you and gives you the freedom to do your best • The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education • Opportunities to connect through affinity, ally, and social groups • And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life