Data, AI/ML Engineering

🕒 June 4

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 67%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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System Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏥 Healthcare

🔬 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 is a plus • Experience building and maintaining cloud data infrastructure using AWS, GCP, or Azure • Understanding of ML lifecycle management, model versioning, and deployment patterns • Comfort with systems design principles applied to data-intensive architectures • Experience with Docker and Kubernetes is a bonus • Familiarity with knowledge graphs, graph databases, or semantic data models is a bonus • Experience with data migrations while maintaining service availability is a bonus • Background working with clinical or healthcare data is a bonus • Exposure to LLMOps or AI governance frameworks is a bonus • Must be legally authorized to work in the United States of America and maintain ongoing work authorization during employment

🏖️ Benefits

• Professional and personal development opportunities • Autonomous, interdisciplinary, and diverse teams • Agile development environment • Values-driven, purpose-driven work • Equal opportunity workplace • Reasonable accommodation for individuals with disabilities