Machine Learning Engineer

Goliath Partners Inc.; Northern (KY); Hybrid; USD 298,000 - 403,000; Full time

Job summary

Goliath Partners Inc. seeks a Senior Software Engineer to architect and scale backend services and data pipelines handling complex clinical data. You will own end-to-end development of simulation environments where frontier AI models are trained and evaluated, working with a top-tier founding team.

This role emphasizes reliability, performance, and scalable design. The ideal candidate has extensive backend/AI infra experience and a track record of building large-scale data systems for ML

Qualifications

• 6+ years in backend or AI infrastructure.
• Hands-on with large-scale data pipelines and complex datasets.
• Experience designing scalable ML/Generative AI workflows or AI infrastructure.

Responsibilities

• Architect and scale high-volume data pipelines for unstructured clinical data.
• Develop simulation environments for frontier AI models.
• Define core system architecture and observability as demand grows.
• Collaborate with AI systems experts on evaluation frameworks and benchmarks.
• Ensure reliability and performance across ingestion and evaluation systems.

Skills

Backend systems

Data pipelines

Python & PostgreSQL

Tools

AWS

GCP

Docker

Job description

Our client is a hyper-growth, highly profitable startup that is absolutely revolutionizing the frontier of healthcare AI. Having just exploded from six-figure to multi-seven-figure enterprise contracts in a matter of weeks, they are building the ultimate real-world simulation environments that train the next generation of medical AI models. They are seeking a powerhouse Senior Software Engineer to help architect, build, and scale the massive infrastructure that transforms messy, real-world clinical data into rigorous, post-training environments. This is a rare, high-impact opportunity to collaborate directly with an elite founding team from MIT, Stanford, and Amazon to build the crucial evaluation and reward layer for the world's most advanced frontier AI models.

Role

• Architect, build, and scale the high-stakes backend services and massive data pipelines required to process incredibly complex, unstructured clinical data.
• Own the end-to-end development of groundbreaking simulation environments where frontier AI models practice real medicine and are evaluated against actual human outcomes.
• Drive the core system architecture and technical vision as the platform scales aggressively to meet an explosion of demand from top-tier AI labs.
• Collaborate closely with industry-leading AI systems experts to invent and deploy new evaluation frameworks, reward functions, and clinical benchmarks.
• Bulletproof the infrastructure, guaranteeing flawless reliability, massive performance, and crystal-clear observability across all data ingestion and evaluation systems.

Essential Skills

• 6+ years of heavy-hitting professional software engineering experience, specifically dominating massive backend systems, data engineering, or cutting-edge AI infrastructure.
• Battle-tested production experience building relentless, high-volume data pipelines and processing incredibly complex datasets at scale using Python, PostgreSQL, and modern cloud architecture.
• A proven track record of designing infinitely scalable architectures to support machine learning, Generative AI workflows, or complex, high-volume data transformations.

Whether your expertise lies in raw engineering, frontier AI research, advanced mathematics, or optimizing core systems, they are scaling out their team to tackle these complex challenges from the ground up.

Compensation: $350k base + equity