Senior ML Engineer
SmartAsset Advisors, LLC
- New York, New York, United States
- New York, New York, United States
Über
SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com.
California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits.
Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.
About the team The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses.
About the Job We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand‑in‑hand with cross‑functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life.
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
Skills/Experience you have
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
Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc.
Experience with DevOps toolsets such as Terraform, Open‑Telemetry, etc. will be a big plus
Strong experience in developing and maintaining large-scale, production‑grade applications
Experience in writing clean, maintainable, and testable code following best practices and industry standards
Experience building integrations with internal and external service providers
At least 5 years of relevant working experience.
Bachelor's or Master's degree in Computer Science or a related field
Skills/Experience preferred
Excellent communication skills, both written and verbal
Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc.
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
Physical Requirements
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)
Available Benefits and Perks
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 Dependent Care
401K
Equity packages for each role
Time Off: Vacation, Sick and Parental Leave
EAP (Employee Assistance Program)
Pet Insurance
Home Office Stipend
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Sprachkenntnisse
- English
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