Job description
About the Role
Join a fast-growing, AI-native consumer intelligence platform serving the world's largest retailers and brands. This is a rare opportunity to work at the intersection of cutting-edge AI research and real enterprise deployment — building the intelligent systems at the very core of the product. The platform reasons, forecasts, and acts autonomously across complex enterprise data landscapes, delivering demand forecasting, consumer intelligence, competitive analysis, and autonomous decision-making at scale.
You'll be a senior technical owner on a small, high-caliber engineering team, with direct impact on product and architecture decisions.
What You'll Do
Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale
Develop and iterate on the platform's agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action
Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment
Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows
Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale
Own model performance end-to-end: monitoring, retraining, and continuous improvement in production
Stay at the frontier of AI research and bring relevant innovations into the platform
What We're Looking For
Required
5+ years of experience in Machine Learning roles, with significant experience designing and building ML systems architecture
M.S. or Ph.D. in Computer Science, Machine Learning, or a related field
Extensive hands-on experience with Python and its ML ecosystem (e.g. PyTorch, TensorFlow, scikit-learn, LangChain)
Proven production experience building and deploying end-to-end ML systems
Experience building agentic AI harnesses for production use cases
Strong foundational ML knowledge beyond LLM application (classical ML, statistics, time series, etc.)
Experience with graph databases
Proficiency with SQL
Nice to Have
Experience working in startup environments or at large-scale tech companies
Experience with Go
Visa sponsorship is not available for this role.
Location
This role is fully on-site in New York, NY (5 days/week in office). Candidates must be based in New York or willing to relocate. No visa sponsorship is available.
Compensation & Benefits
Base salary: $170,000 – $230,000 USD annually, depending on experience
Early-stage equity participation
Opportunity to shape the technical direction of a high-growth AI platform from the ground up
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.