Staff Machine Learning Engineer

Staff Machine Learning Engineer

Salary: $220K - $280K Location Type: Remote Employment Type: Full-Time

About Us

Fieldguide is building a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). We develop software for professionals who enable trust between businesses.

Fieldguide is a remote-first company based in San Francisco, CA, empowering you to do your best work from anywhere. We are backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.

We value diversity in backgrounds and experiences, believing that a wide range of perspectives is crucial for building the future of audit and advisory. Our team is inclusive, driven, humble, and supportive. We are deliberate and self-reflective about our culture, seeking teammates who excel in their aptitudes and are dedicated to supporting each other's growth.

As an early-stage startup employee, you will have the opportunity to shape the future of business trust. Our mission is to make audit practitioners' lives easier by reducing their workload by up to 50% and improving their work-life balance. If you share our values and enthusiasm for building a great culture and product, Fieldguide is the place for you.

About the Role

As a Staff Machine Learning Engineer at Fieldguide, you will spearhead the development of next-generation AI-driven features on our platform, transforming the audit and advisory industry with cutting-edge generative AI solutions. You will focus on applying advanced Machine Learning (ML) and Large Language Models (LLMs) to solve complex customer problems and guide the technical direction of our ML team in a high-growth startup environment. This role is both strategic and hands-on, involving setting best practices for our generative AI efforts and diving into coding and architecture to drive critical projects from concept to production.

In this role, you will be the go-to expert for generative AI at Fieldguide. You will establish standards for prompt engineering, context management, and model evaluation, ensuring our use of LLMs is effective, safe, and scalable. As a Staff MLE, you will also act as a multiplier for the entire engineering team by reviewing architectures for AI features, mentoring other engineers, and fostering a culture of excellence in ML. You will collaborate closely with cross-functional stakeholders, including product managers, designers, and clients, to translate business needs into technical solutions and communicate the value of our AI-driven approach. This is a unique opportunity to shape Fieldguide’s AI capabilities and establish yourself as a technical leader in the generative AI field.

What You’ll Do

• Architect Generative AI Solutions: Design and oversee the architecture of systems leveraging LLMs and retrieval-augmented generation (RAG) techniques. You will make key decisions on integrating LLMs with our existing platform and data stores, including building agent-based frameworks where LLMs interact with tools and knowledge bases (e.g., creating AI “co-pilots” for auditors). You will conduct rigorous architectural reviews and ensure our designs meet high standards for scalability, security, and reliability.
• Establish Prompt Engineering Best Practices: Develop and codify best practices for prompt engineering and context management in our AI applications. You will guide the team in crafting effective prompts, choosing model parameters, and managing conversation context to optimize LLM performance. This includes building internal libraries or templates for prompts and educating engineers on avoiding common failure modes. By setting this technical quality bar, you will ensure the effectiveness of our AI applications.