General Application – Data & AI/ML Engineering

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🔥 2 minutes ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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System Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🔬 Science

💰 $12.3M Series A on 2021-05

Artificial Intelligence • Healthcare • Science

System Inc. is a Public Benefit Corporation focused on applying systems thinking to organize global knowledge. The company builds platforms and products, including the System Graph, to quantitatively model the world as an interconnected system, particularly in the realm of healthcare and biomedical research. Their mission is to transition from silos of knowledge to systemic interconnections to tackle complex global challenges such as health, climate change, and social issues. System offers APIs and applications to facilitate research and decision-making, fostering a community of systems thinkers.

📋 Description

• Design and maintain scalable data pipelines and ETL/ELT workflows • Build and operate infrastructure for training, deploying, and serving ML models in production • Develop feature stores, vector databases, and other AI-enabling data infrastructure • Ensure reliability, low latency, and high availability of data systems • Partner closely with Research and Data Science to move findings into production • Implement monitoring and observability for data and model health • Contribute to infrastructure as code practices and documentation on cloud platforms

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field • 4+ years of experience in data engineering, ML engineering, or a related discipline • Strong proficiency in Python and SQL; experience with Spark, dbt, or Airflow a plus • Experience building and maintaining cloud data infrastructure (AWS, GCP, or Azure) • Understanding of ML lifecycle management, model versioning, and deployment patterns • Comfort with systems design principles applied to data-intensive architectures

🏖️ Benefits

• We believe in the power of autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data. • We believe in cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development. • System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users.