About the job
About Finch
At Finch, we envision a world where every American household has access to legal counsel during significant life events. We are transforming the legal landscape by creating innovative infrastructure that enhances justice accessibility. Our modern consumer law framework automates administrative tasks, prioritizing client needs, starting with personal injury cases.
Since our launch in April, we have experienced exponential growth, expanding our reach tenfold and supporting pre-litigation processes for leading law firms nationwide. We seamlessly blend expert operations with cutting-edge AI technology to manage intake, claim initiation, medical records, police reports, lien management, demands, and every detail in between.
Backed by distinguished investors including Sequoia and Redpoint, along with founders and CEOs of transformative companies like DoorDash, Ironclad, and Digits, we are fundamentally reshaping how legal services are delivered to everyday Americans. We are in search of exceptional talent to help us scale this mission across the country.
This Role
Legal processes often involve navigating unstructured documents, repetitive tasks, and data that current systems struggle to manage. As a Machine Learning Engineer at Finch, you will take ownership of the entire AI system lifecycle, from prototyping to deployment, addressing challenges where a single innovation can significantly enhance law firm operations.
What You'll Do
In this hands-on applied AI position, you will develop and deploy production-ready systems rather than just conducting experiments. Your responsibilities will evolve alongside our product and team.
Create voice agents, browser agents, OCR pipelines, and LLM-driven workflows that consistently perform well in production.
Establish robust evaluation frameworks and feedback mechanisms to enhance model accuracy and dependability.
Manage the complete ML lifecycle, including model selection, fine-tuning, prompt engineering, deployment, and monitoring.
Collaborate closely with product teams, operations, and legal experts to ensure the AI solutions address the right challenges.
Monitor emerging research and tools, making informed decisions on their integration into our technology stack.
Who We Have in Mind
We seek engineers who prioritize results over algorithms and are equally proficient in production environments and analytical settings. Below are the key qualifications we are looking for.
Must-Haves
Over 3 years of experience in building and deploying production ML systems.
Proficient in Python, with experience across the full ML stack.
