Senior ML/AI Engineer
Summary
Build and deploy ML models for demand forecasting, sentiment analysis, and autonomous agentic systems using Python, PyTorch/TensorFlow, and graph databases.
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.