ML Engineer

Summary

Join SmartAsset's Machine Learning Engineering team as a highly motivated and experienced Machine Learning Engineer. You will play a key role in designing, building, and scaling foundational backend systems, focusing on GenAI initiatives. Your responsibilities span the entire software development lifecycle, from design to deployment and maintenance. You will collaborate with cross-functional teams, including LLM Engineers, Product Owners, and Data Scientists. This position requires a strong background in Python development, AWS cloud platforms, and experience with production applications. The ideal candidate will also possess experience with LLMs, RAG, and related technologies. SmartAsset offers a remote work environment and a comprehensive benefits package.

Requirements

• Proven experience as a ML Engineer with a strong focus on Python development
• Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services
• Experience operating and scaling a production application
• Experience building integrations with internal and external service providers
• Prolonged periods of sitting at a desk and working on a computer
• Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles)

Responsibilities

• Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
• Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
• Work with OLTP databases, including schema design, migration strategies, and performance optimization
• Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure
• Ensure secure ingress and egress of data within our private network environments
• Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time
• Manage and optimize AWS services, including IAM roles and policies
• Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure
• Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
• Design and implement data collection pipelines specifically for Large Language Models (LLMs)
• Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training
• Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges
• Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities
• Rapidly prototype user interfaces for internal tools and data exploration, leveraging frameworks like Streamlit, Gradio, or other similar tools that facilitate quick iteration and integration without persistent websockets

Preferred Qualifications

• Experience with LLMs, RAG, embedding vector databases, or agentic technologies
• Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio
• Knowledge of data governance and structured data principles
• Experience with Feature Stores or ELT processes

Benefits

• All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US
• Medical, Dental, Vision - multiple packages available based on your individualized needs
• Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available
• Supplemental Short-term and Long-term Disability
• FSA: Medical and Dependant Care
• 401K
• Equity packages for each role
• Time Off: Vacation, Sick and Parental Leave
• EAP (Employee Assistance Program)
• Financial Literacy Mentoring Program
• Pet Insurance
• Home Office Stipend