Senior Platform Engineer, Machine Learning

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $188K - $213.5K

Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). We build software for the people who enable trust between businesses. We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including Bessemer Venture Partners, 8VC, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries, and more. We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth. This role is crucial in bridging the gap between ML development and production-ready systems in our rapidly scaling Series B-stage company.

About Us

Fieldguide is a remote-first company focused on building software to automate and streamline assurance and audit practices within cybersecurity, privacy, and ESG. We're backed by leading investors and committed to building a diverse and inclusive team.

What You'll Do

• Design and implement infrastructure for ML model management, including training, deployment, and monitoring.
• Build and maintain platforms for running ML algorithms at scale.
• Develop systems for A/B testing, performance monitoring, and continuous model training.
• Create and manage ETL infrastructure to support ML workflows.
• Implement best practices for MLOps, including version control for models and datasets.
• Collaborate with ML Engineers to optimize model performance and resource utilization.
• Ensure the scalability, reliability, and security of ML systems.
• Stay current with the latest advancements in MLOps and cloud technologies.
• Contribute to the development of internal tools and frameworks.

Requirements

• (Details not provided in the job description)

Responsibilities

• Building and maintaining scalable, efficient systems for model deployment, monitoring, and continuous improvement.
• Creating infrastructure to support ML workflows.
• Implementing MLOps best practices.
• Collaborating with ML Engineers.
• Ensuring the scalability, reliability, and security of ML systems.

Company Information

• Stage: Series B
• Location: Remote (San Francisco, CA Headquarters)
• Notable Investors: Bessemer Venture Partners, 8VC, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries, and more.
• Company Mission: Establishing a new state of trust for global commerce and capital markets.
• Product: Software to automate and streamline assurance and audit practices.
• Competitive Advantage: Competing with legacy accounting and audit products that are 20+ years old and have negative NPS, yet do billions in sales.