About this role

ABOUT THE ROLE Join a fast-growing, AI-native consumer intelligence startup (Series A/B stage) building the next generation of autonomous enterprise analytics. The platform doesn't just surface insights — it reasons, forecasts, and acts autonomously across complex enterprise data landscapes, serving some of the world's largest retailers and consumer brands. As a Senior ML/AI Engineer, you'll work at the intersection of cutting-edge research and real-world enterprise deployment, designing intelligent systems that drive measurable business impact at scale.

This is applied AI at its most impactful. 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 (Dealbreakers): - M.S.

or Ph.D. in Computer Science, Machine Learning, or a related field - 3+ years of hands-on, ML-focused experience (not purely software engineering with minimal ML exposure) - 3+ years working in ML systems architecture, building and delivering production ML pipelines - Deep proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or equivalent - No visa sponsorship available — candidates must be independently authorized to work Also Required: - Production experience building agentic systems and harnesses - Hands-on experience with graph databases - Strong SQL proficiency for data querying and manipulation Nice to Have: - Experience working at scale — large tech companies or high-growth startups with production ML systems (backgrounds from firms such as Meltwater, NielsenIQ, Qualtrics, Medallia, Kantar, or similar enterprise analytics/intelligence companies are a strong signal) - Experience with the Go programming language COMPENSATION & BENEFITS - Salary: $170,000 – $230,000 USD annually, depending on experience - Early-stage equity in a high-growth, AI-native company LOCATION This is an on-site role based in New York, NY, USA.

Candidates must be local or willing to relocate. Visa sponsorship is not available.

Source listing: ashby_clera