- Clera
- New York, NY
- Full-Time
- 27 days ago
- $170,000 – $230,000
Senior ML/AI Engineer.
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Senior ML/AI Engineer: our view in 3 lines...
- The Role:This role is for a senior engineer building production AI and machine learning systems for an AI-native consumer intelligence platform serving enterprise retail clients.
- The Person:The person will design and deploy ML models, build and maintain ML pipelines, architect RAG systems and LLM integrations, and monitor, retrain, and improve model performance in production.
- Requirements:The ideal candidate has an M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, plus 3+ years of ML-focused experience, deep proficiency in Python and ML frameworks such as PyTorch or TensorFlow, strong SQL proficiency, and hands-on experience with graph databases.
About the role
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 large enterprise retail clients. You'll own the intelligent systems that power demand forecasting, consumer sentiment analysis, competitive benchmarking, and autonomous decision-making — applied AI with direct, measurable business impact.
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 that reasons across heterogeneous data sources and takes 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 powering 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 current with 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 of ML-focused experience building and delivering production ML pipelines and systems architecture — not purely general software engineering.
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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 (e.g. Neo4j, Amazon Neptune, or equivalent).
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Strong SQL proficiency for data querying and manipulation.
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Background at scale — large tech organizations, established ML teams, or early-stage ML-focused startups.
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Experience with the Go programming language is a plus.
Compensation & Benefits
Salary: $170,000 – $230,000 USD annually. Visa sponsorship is not available.
Location
On-site in New York, NY.
