4 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Design, build, and deploy ML models for demand forecasting and consumer sentiment analysis.
- Develop and iterate on Merciv’s agentic AI architecture.
- Build and maintain robust ML pipelines for data preprocessing and model deployment.
- Architect RAG systems and LLM integrations for natural language interfaces.
- Collaborate with backend engineers to optimize models for production.
- Monitor and improve model performance in production environments.
- Stay updated on AI research and integrate relevant innovations into the platform.
Requirements
- 5+ years of experience in applied machine learning and AI.
- M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
- Deep proficiency in Python and experience with ML frameworks like PyTorch and TensorFlow.
- Strong background in statistical analysis and predictive modeling.
- Experience with applied agentic AI/ML systems and multi-agent orchestration.
- Familiarity with NLP, LLMs, and RAG architectures.
- Comfortable working with large-scale datasets and distributed computing.
Benefits
- Competitive salary and meaningful equity.
- Comprehensive benefits including health, dental, and vision.
- 401k plan and home office stipend.
- Flexible PTO policy.