Senior ML Infrastructure Engineer (Equity)

Goliath Partners; United States; Remote; USD 315,000 - 385,000; Full time

Job summary

Goliath Partners seeks a Senior Software Engineer to architect and scale the backend infrastructure that processes highly complex, unstructured clinical data into rigorous simulation environments for medical AI evaluation.

You will own end-to-end data pipelines, work on scalable architectures for ML/Generative AI workflows, and collaborate with industry experts to build evaluation and reward frameworks while ensuring reliability and observability as demand grows from top-tier AI labs.

Qualifications

• 6+ years of professional software engineering experience.
• Experience building high-volume data pipelines with Python and PostgreSQL.
• Experience designing scalable architectures for ML/Generative AI workflows.

Responsibilities

• Architect, build, and scale high-stakes backend services and massive data pipelines.
• Own end-to-end development of simulation environments for real-world medical AI evaluation.
• Drive core architecture and technical vision to scale platforms for increasing demand.
• Collaborate with AI systems experts to deploy evaluation frameworks and benchmarks.
• Ensure reliability, performance, and observability across data ingestion and evaluation systems.

Skills

Backend systems

Python

Data pipelines

Job description

Goliath Partners seeks a Senior Software Engineer to architect and scale the backend infrastructure that processes highly complex, unstructured clinical data into rigorous simulation environments for medical AI evaluation.

You will own end-to-end data pipelines, work on scalable architectures for ML/Generative AI workflows, and collaborate with industry experts to build evaluation and reward frameworks while ensuring reliability and observability as demand grows from top-tier AI labs.