About the Role
This is a senior individual contributor role on the core AI team of an early-stage, AI-native consumer intelligence platform serving enterprise retail and brand clients. You will own the intelligent systems that power demand forecasting, consumer sentiment analysis, competitive intelligence, and autonomous decision-making, working at the intersection of applied research and real-world production deployment.
What You'll Do
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Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale.
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Develop and iterate on an agentic AI architecture, building systems that reason across heterogeneous data sources and take autonomous action.
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Build and maintain robust ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and production deployment.
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Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows.
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Collaborate with backend engineers to ensure models are production-grade, optimized for latency, reliability, and scale.
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Own model performance end-to-end: monitoring, retraining, and continuous improvement in production.
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Stay at the frontier of AI research and bring relevant innovations into the platform.
What We're Looking For
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M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
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3+ years building and delivering production ML pipelines and ML systems architecture.
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Deep proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or equivalent.
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Production experience building agentic systems or LLM harnesses for real-world use cases.
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Hands-on experience with graph databases such as Neo4j, Amazon Neptune, or equivalent.
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Strong SQL proficiency for data querying and manipulation.
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Background from large-scale ML teams, established tech companies, or early-stage ML-focused startups is a plus.
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Experience with the Go programming language is a plus.
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All candidates must be based in the US and eligible to work without visa sponsorship.
Compensation & Benefits
Base salary: $170,000 to $230,000 USD annually. No visa sponsorship is available.
Location
On-site in New York, New York, United States.