Applied AI Research Engineer

Company Overview:
Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. We are setting the norms for compliance processes at the largest institutions in the world ($17T+ AUM client base). Raised $87m from top investors. Team from top tech companies and law firms/schools.

Role Overview:
As an Applied AI Research Engineer at Norm Ai, you will take a methodical and holistic approach to increasing the coverage and capabilities of our automation platform. You will collaborate closely with and act as a bridge between our software engineering, legal engineering, and product teams to design and refine our AI-driven compliance solutions.

Responsibilities:
- Design and build AI-powered, enterprise-grade software to meet rapidly increasing demands.
- Regularly contribute performant and high-quality code to our production codebase that conforms to the high standards of our software engineering team.
- Autonomously prioritize between development velocity and long-term robustness of proposed solutions, always with a ruthless propensity for action.
- Run experiments with new LLM techniques and technologies across our AI infrastructure, content processing, and regulatory workflows.
- Write prompts, iterate on them, and design systems for continuous improvement.
- Develop regulatory expertise that can be used as part of our LLM workflows.

Skills & Experience - Core:
- 4+ years of experience as a Software Engineer, ML engineer, or Data Scientist.
- Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis.
- Willingness to work with frontend technologies (Typescript, react, etc) when required.
- Experience in AI/ML infrastructure and tooling.
- Interest in becoming a regulatory domain expert and working closely with legal and regulatory professionals.
- Strong reading and writing skills.
- Strong quantitative skills that can enable a data-driven approach to problem solving.

Skills & Experience - Pluses:
- Experience deriving insights from PDFs and/or other unstructured or semi-structured data types.
- Familiarity with the latest research in LLMs and an eagerness to adopt new model capabilities as they become available.
- Background working on complex compliance or regulatory systems.

Benefits:
Competitive salary and equity. 401(k) with the maximum legally permitted employer match. Top-tier insurance coverage (health, dental, hospital, accident, vision). Relocation reimbursement to NYC. Fast-paced learning environment.