Member of Technical Staff (Machine Learning Engineer)

Here’s the reformatted HTML for the **Member of Engineering (Pre-training / Data Engineering)** role (the most detailed posting in the list):

Job type: Full-time
Location: Remote (EMEA/East Coast)

About the role

Join Poolside as a Member of Engineering focused on pre-training and data engineering. This role involves building and optimizing large-scale data pipelines and infrastructure to support AI model training.

Responsibilities

• Design, implement, and maintain scalable data pipelines for AI model pre-training.
• Collaborate with research teams to curate and process high-quality datasets.
• Optimize data storage, retrieval, and processing for efficiency and cost-effectiveness.
• Develop tools and frameworks to automate data workflows (e.g., ETL, data validation).
• Monitor and troubleshoot pipeline performance, ensuring reliability and reproducibility.

Requirements

• Proficiency in Python and experience with data engineering tools (e.g., Apache Spark, Airflow).
• Hands-on experience with Docker and Kubernetes for containerization and orchestration.
• Familiarity with distributed systems and cloud platforms (e.g., AWS, GCP).
• Strong understanding of data structures, algorithms, and software engineering best practices.
• Experience with PostgreSQL or other relational databases.
• Bonus: Knowledge of AI/ML workflows, synthetic data generation, or large-scale training frameworks.

Skills

• Python
• Docker, Kubernetes
• PostgreSQL
• Distributed systems
• Data pipeline design
• Cloud platforms (AWS/GCP)