Senior ML/AI Engineer

Role overview

Responsibilities

• check_circle Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale
• check_circle Develop and iterate on the platform's agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action
• check_circle Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment
• check_circle Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows
• check_circle Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale
• check_circle Own model performance end-to-end: monitoring, retraining, and continuous improvement in production
• check_circle Stay at the frontier of AI research and bring relevant innovations into the platform
• check_circle 5+ years of experience in Machine Learning roles, with significant experience designing and building ML systems architecture
• check_circle M.S. or Ph.D. in Computer Science, Machine Learning, or a related field
• check_circle Extensive hands-on experience with Python and its ML ecosystem (e.g. PyTorch, TensorFlow, scikit-learn, LangChain)
• check_circle Proven production experience building and deploying end-to-end ML systems
• check_circle Experience building agentic AI harnesses for production use cases
• check_circle Strong foundational ML knowledge beyond LLM application (classical ML, statistics, time series, etc.)
• check_circle Experience with graph databases
• check_circle Proficiency with **SQL
• check_circle Experience working in startup environments or at large-scale tech companies
• check_circle Experience with **Go

Benefits

• check_circle Base salary: $170,000 – $230,000 USD annually, depending on experience
• check_circle Early-stage equity participation
• check_circle Opportunity to shape the technical direction of a high-growth AI platform from the ground up