Machine Learning Engineer

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

Job summary

Goliath Partners Inc. seeks a Senior Software Engineer to architect, build, and scale backend services and data pipelines that process highly complex, unstructured clinical data.

You will own the end-to-end development of groundbreaking simulation environments where frontier AI models practice real medicine and are evaluated against actual human outcomes. This role partners with a world-class founding team from MIT, Stanford, and Amazon to shape evaluation frameworks and rewards, ensuring

Qualifications

• 6+ years of professional software engineering experience on massive backend systems or data infrastructure.
• Proven track record building high-volume data pipelines and processing complex datasets at scale with Python and PostgreSQL.
• Experience designing scalable architectures to support ML/Generative AI workflows and large data transformations.

Responsibilities

• Architect, build, and scale backend services and data pipelines handling unstructured clinical data.
• Own end-to-end development of simulation environments for evaluating frontier AI models against real outcomes.
• Drive system architecture and technical vision to meet surging demand from top AI labs.
• Collaborate with AI systems experts to deploy new evaluation frameworks and benchmarks.
• Ensure reliability, performance, and observability across data 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

Compensation: $350k base + equity