An award-winning financial technology company that helps millions of people make smart financial decisions.
Senior ML Engineer
Location
California + 7 moreAll locations: California | Colorado | Connecticut | Nevada | New York | Maryland | Rhode Island | Washington
Posted
91 days ago
Salary
$137K - $180K / year
Seniority
Senior
Job Description
Senior ML Engineer
SmartAsset
• 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
Job 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
- 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
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