Senior Machine Learning Engineer

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 an opportunity to join as an early engineer at a company with product-market fit that still has huge amounts of room to grow. We’re competing with legacy accounting and audit products that are 20+ years old and have negative NPS, yet do billions in sales and have seen little competition in a decade.

Requirements

• Experience with Machine Learning
• Strong understanding of NLP and Generative AI
• Data curation and cleaning skills
• Experience with ETL jobs
• Ability to design, develop, and implement ML models
• Familiarity with data flywheels
• Ability to collaborate with stakeholders

Responsibilities

• Collaborate with stakeholders to identify and map business problems to ML solutions
• Design, develop, and implement ML models with a focus on NLP and generative AI applications
• Curate, clean, and prepare data for model development and training
• Create and maintain ETL jobs for data processing
• Conduct rapid prototyping of ML solutions to quickly iterate on ideas
• Stay current with the latest advancements in ML, particularly in NLP and generative AI
• Integrate ML solutions into the overall product architecture
• Implement data flywheels to continuously improve ML features

Company Information

• Company: Fieldguide
• Location: Remote (San Francisco, CA)
• Stage: Series B
• Values: Diversity, inclusivity, driven, humble, supportive