Senior Platform Engineer, Machine Learning - Remote

Overview

As a Senior Platform Engineer, Machine Learning, at Fieldguide, you'll be responsible for building and maintaining the infrastructure that powers our ML solutions in the audit and advisory industry.

In Short

• Design and implement infrastructure for ML model management.
• Build and maintain platforms for running ML algorithms at scale.
• Develop systems for A/B testing and performance monitoring.
• Create and manage ETL infrastructure for ML workflows.
• Implement best practices for MLOps.
• Collaborate with ML Engineers to optimize model performance.
• Ensure scalability, reliability, and security of ML systems.
• Stay current with advancements in MLOps and cloud technologies.
• Contribute to internal tools and frameworks for ML workflow efficiency.
• Be an essential technical contributor at a Series B-stage company.

Requirements

• 3-4 years of experience in software engineering or DevOps with a focus on ML systems.
• Experience with ML frameworks.
• Experience with cloud platforms, preferably AWS.
• Experience with container runtime architectures, preferably Kubernetes.
• Proficiency in Python or Typescript.
• Familiarity with CI/CD practices and tools.
• Experience with Infrastructure as Code tools like Terraform.
• Strong understanding of distributed systems and microservices architecture.
• Ability to work in a fast-paced startup environment.

Benefits

• Competitive compensation packages with meaningful ownership.
• Unlimited PTO.
• 401k.
• Wellness benefits, including free therapy sessions.
• Technology & Work from Home reimbursement.
• Flexible work schedules.