Senior Platform Engineer, Machine Learning

Fieldguide is revolutionizing the audit and advisory industry by building software that enables trust between businesses. As a Senior Platform Engineer, Machine Learning, you'll be instrumental in building and maintaining the infrastructure for ML solutions.

The role involves designing and implementing infrastructure for ML model management, including training, deployment, and monitoring systems. You'll be responsible for creating scalable platforms for running ML algorithms, developing ETL infrastructure, and implementing MLOps best practices.

Fieldguide, backed by prestigious investors like Bessemer Venture Partners and Y Combinator, is a remote-first company based in San Francisco. The company is at Series B stage and has achieved product-market fit, competing with 20+ year old legacy systems that have billions in sales but negative NPS scores.

The role offers an opportunity to:

• Build and maintain platforms for ML algorithms at scale
• Develop systems for A/B testing and continuous model training
• Create and manage ETL infrastructure
• Implement MLOps best practices
• Collaborate with ML Engineers to optimize performance
• Contribute to internal tools and frameworks

The ideal candidate should have:

• 3-4 years of experience in software engineering/DevOps
• Strong background in ML frameworks and cloud platforms (AWS)
• Experience with container architectures (Kubernetes)
• Proficiency in Python or TypeScript
• Understanding of distributed systems
• Experience with CI/CD and Infrastructure as Code

Fieldguide values diversity and maintains an inclusive, supportive culture guided by core values: Fearless, Fast, Lovable, Owners, Win-win, and Inclusive. The company offers competitive compensation, unlimited PTO, 401k, wellness benefits, and flexible work schedules.