Machine Learning Engineer at Scarlet - Leading AI medical device certifier

As a Machine Learning Engineer at Scarlet, you'll deploy state-of-the-art models and build distributed agentic systems to accelerate market access for groundbreaking medical AIs. You'll fine-tune LLMs and create exceptional datasets, directly impacting universally accessible healthcare by ensuring innovative technology reaches patients safely and quickly. Join a team with product-market fit and exponential growth.

• Design and deploy concurrent agent architectures for rapid, multi-agent evidence gathering from diverse customer data sources.
• Develop and implement robust evaluation systems, leveraging production workflows to ensure accurate certification timelines.
• Fine-tune LLMs and orchestrate agent swarms to create high-quality datasets and align AI systems with strict regulatory standards.

• Possess 3+ years of experience shipping production-grade machine learning software.
• Proven ability to create high-quality datasets and establish robust, reality-aligned ML evaluation systems.
• A "hacker" and "builder" mindset, taking ambitious projects from concept to reality with a focus on economic and human value.

• Directly contribute to universally accessible healthcare by certifying groundbreaking medical AIs safely and quickly.
• Join a team with strong product-market fit, flowing data, and exponentially growing revenue as the pre-eminent authority in its field.
• Work with the brightest minds in AI medical devices, deploying state-of-the-art models and building distributed agentic systems.