Manager, Machine Learning Engineering

San Francisco, California, United States

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$200,000 – $265,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Commerce, Capital Markets, Cybersecurity, Privacy, ESG, Audit, Advisory, SoftwareIndustries

Requirements

Candidates must have experience managing a team of machine learning engineers and a strong understanding of ML and generative AI. A background in leading end-to-end delivery of ML-driven product features, particularly NLP and generative AI solutions, is required. Experience in strategic collaboration with product and design leaders, providing technical direction in ML architecture, establishing frameworks for evaluating model performance, and participating in hiring and talent development is also necessary.

Responsibilities

The Manager, Machine Learning Engineering will lead and mentor a team of approximately 5 ML engineers, fostering an inclusive and high-performing culture. They will oversee the delivery of AI-powered features, ensuring high quality, reliability, and timely execution. The role involves collaborating with product and design leaders to shape the AI roadmap and align the team's efforts with business objectives. Responsibilities also include providing technical guidance on ML architecture and best practices for generative AI systems, establishing evaluation frameworks for model performance, and driving hiring and talent development within the ML team.

Skills

Machine Learning

Generative AI

People Leadership

ML Engineering

AI Initiatives

Product Teams

Audit

Advisory

Software Development

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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