Staff ML / AI Engineer
Build core AI/ML systems including LLM-powered document extraction, agentic data retrieval, sales forecasting, anomaly detection, and promotion optimization for CPG brands. Requires 5+ years ML experience with production deployment of LLMs and NLP.
What You'll Do
- Own the full AI/ML lifecycle: research → prototyping → production deployment → monitoring
- Design and build systems that extract structured data from complex financial documents
- Develop agentic systems that retrieve and reason over data across fragmented enterprise systems
- Build predictive models to forecast brand sales and financial performance
- Detect anomalies in retail and sales data
- Develop recommendation systems to help brands optimize retailer promotions
- Partner with product and engineering to integrate AI capabilities into the core platform
Example Problems
- AI-powered document ingestion for invoices, deductions, and retailer reports
- Agent workflows that retrieve data from legacy systems
- Sales forecasting models for large CPG brands
- Anomaly detection across retailer performance data
- Promotion optimization models
What We're Looking For
Required
- 5+ years of applied AI / ML experience
- Strong background in ML systems design and production deployment
- Experience working with LLMs and NLP systems
- Strong product mindset—ability to translate AI capabilities into real-world applications
Nice to Have
- Experience fine-tuning LLMs (Llama, GPT, etc.)
- Experience building agentic workflows or retrieval systems
- Startup experience and comfort operating in ambiguous environments
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