6 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- 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 agentic AI architectures that reason across heterogeneous data sources and take autonomous action.
- Build and maintain ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and production deployment.
- Architect RAG systems and LLM integrations for natural-language interfaces and autonomous workflows.
- Collaborate with backend engineers to optimize models for latency, reliability, and scale.
- Own model performance through production monitoring, retraining, and continuous improvement.
- Track AI research developments and incorporate relevant innovations into the platform.
Requirements
- At least 5 years of experience in applied machine learning and AI, including production model deployment.
- Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
- Deep proficiency in Python and experience with PyTorch, TensorFlow, and scikit-learn.
- Strong background in statistical analysis, predictive modeling, and time series forecasting.
- Experience with applied agentic AI/ML systems and multi-agent orchestration.
- Experience with NLP, LLMs, and RAG architectures.
- Ability to work with large-scale datasets and distributed computing environments.
- Interest in model interpretability, explainability, and trustworthy enterprise systems.
- Preferred experience in retail, supply chain, or demand forecasting.
- Preferred experience with graph neural networks, knowledge graphs, MLOps platforms, model-serving infrastructure, open-source ML/AI projects, or published research.
Benefits
- Competitive salary, meaningful equity, and comprehensive benefits including health, dental, vision, 401(k), home office stipend, and flexible PTO.
- Small, autonomous team using a Directly Responsible Individual model with ownership from conception through production.
- Opportunity to work on enterprise AI systems with significant client impact.
Categories
About Merciv
Merciv is an AI-native consumer intelligence platform built for the brands of tomorrow. Traditional tools generate reports. Merciv generates understanding. Our platform continuously synthesizes signals across the market and surfaces what matters before you know to ask.