Sr. AI and ML Engineer
About The Position
We are seeking a Machine Learning Engineer to build and scale classification and recommendation systems that power our core product. You'll work closely with ML leadership to apply proven ML fundamentals across diverse technical challenges, including integrating LLM-based features into our existing workflows. In this role, you will own traditional ML systems while gaining hands-on experience with modern AI components like RAG pipelines and agent frameworks. Your work will directly impact product performance through better recommendations, search quality, and user classification. You'll collaborate with a talented team to solve real technical problems in a fast-growing SaaS environment.
Requirements
- 5+ years deploying ML models in production (classification, recommendations, or similar)
- Strong Python proficiency with ML libraries (scikit-learn, pandas, numpy) and deployment frameworks
- Experience with ML infrastructure: model serving, monitoring, and data pipelines
- Familiarity with foundation model APIs (OpenAI, Anthropic, etc.) and vector databases
- Track record of building systems that handle real user traffic and data
- U.S. citizenship with the ability to pass a Federal Background Check and Identity Verification.
- While formal education is not a strict requirement, a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field is preferred.
Nice To Haves
- Experience with LangChain, LangGraph, or similar LLM orchestration frameworks
- Knowledge of data orchestration platforms like Dagster or Airflow
- Background in search systems, embeddings, or information retrieval
Responsibilities
- Build, deploy, and maintain production classification and recommendation systems serving thousands of users
- Design and implement ML pipelines for training, evaluation, and monitoring of traditional ML models
- Integrate LLM APIs and vector databases into existing ML workflows to enhance product capabilities
- Collaborate with product and engineering teams to translate business requirements into scalable ML solutions
- Optimize model performance, system reliability, and inference latency across our ML stack
Benefits
- Competitive salary with stock options in a rapidly growing, venture-backed company.
- Comprehensive health plan, ensuring you and your loved ones are well taken care of.
- Flexible work arrangements, including full remote work capabilities, to balance your professional and personal life.
- Extensive professional development opportunities, providing a fast track for career advancement.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees
