Fieldguide

Senior Platform Engineer, Machine Learning

San Francisco, California, United States

Fieldguide Logo
$188,000 – $213,500Compensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have a strong background in software engineering with experience in building and maintaining machine learning infrastructure. Proficiency in MLOps practices, including version control for models and datasets, is essential. Familiarity with cloud technologies and ETL processes is required, along with the ability to collaborate effectively with ML Engineers to optimize model performance.

Responsibilities

The Senior Platform Engineer, Machine Learning will design and implement infrastructure for ML model management, including training, deployment, and monitoring. They will build and maintain platforms for running ML algorithms at scale, develop systems for A/B testing and performance monitoring, and create ETL infrastructure to support ML workflows. Additionally, they will implement best practices for MLOps, ensure the scalability and security of ML systems, and stay current with advancements in MLOps and cloud technologies.

Skills

MLOps
ETL
Model Management
Model Deployment
Model Monitoring
A/B Testing
Version Control
Python
SQL
Infrastructure as Code

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.

Key Metrics

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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