Staff Machine Learning Engineer

San Francisco, California, United States

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$250,000 – $280,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, SaaS, Audit, Cybersecurity, ESGIndustries

Requirements

Candidates should have a strong background in Machine Learning (ML) and Large Language Models (LLMs), with experience in designing and implementing generative AI solutions. Proven ability to establish best practices for prompt engineering, context management, and model evaluation is essential. Experience with retrieval-augmented generation (RAG) techniques and building agent-based frameworks is required, along with the ability to review AI feature architectures and mentor other engineers. Collaboration with cross-functional stakeholders and experience in a high-growth startup environment are also necessary.

Responsibilities

The Staff Machine Learning Engineer will lead the development of AI-driven features using generative AI and LLMs, focusing on transforming the audit and advisory industry. They will architect systems leveraging LLMs and RAG, making key decisions on integration with existing platforms and data stores. Responsibilities include establishing prompt engineering best practices, guiding the team in crafting effective prompts, and managing conversation context to optimize LLM performance. The role also involves acting as a multiplier for the engineering team by reviewing architectures, mentoring engineers, fostering a culture of ML excellence, and collaborating with stakeholders to translate business needs into technical solutions.

Skills

Machine Learning

Large Language Models (LLMs)

Generative AI

Software Development

Technical Leadership

Fieldguide

AI platform for audit and advisory services

About Fieldguide

Fieldguide enhances audit and advisory processes for businesses using artificial intelligence through its main product, the AI Advisory & Audit Cloud. This platform is designed for large advisory and audit firms, helping them save time, improve profit margins, and increase client satisfaction while managing various regulatory frameworks. Fieldguide's subscription-based model offers features like engagement management and automated report generation, making it more efficient than traditional methods. The company's goal is to transform the audit and advisory landscape with a modern, AI-driven experience.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$45.9MTotal Funding

SERIES_BCompany Stage

Consulting, Fintech, AI & Machine LearningIndustries

51-200Employees

Benefits

Unlimited Paid Time Off

401(k) Retirement Plan

Wellness Program

Home Office Stipend

Flexible Work Hours

Risks

Increased competition from other AI-driven audit platforms could erode market share.

Rapid AI technology development may lead to obsolescence if Fieldguide doesn't innovate.

Reliance on venture capital funding poses a risk if future rounds are unsuccessful.

Differentiation

Fieldguide offers the only end-to-end AI platform for audit and advisory services.

The platform supports multiple regulatory frameworks, enhancing its versatility for firms.

Fieldguide's AI Advisory & Audit Cloud improves efficiency and client satisfaction.

Upsides

Fieldguide's AI platform addresses the CPA talent shortage, increasing demand for its services.

The launch of Fieldguide Insights capitalizes on data-driven decision-making trends in CPA firms.

Strategic partnership with Allinial Global enhances market reach and credibility.

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