ML Researcher

We're looking for an experienced ML researcher to own the full lifecycle of machine learning projects - from problem formulation and research through production deployment and monitoring. You will design, build, and deploy ML models, mainly on tabular data, with full ownership over their production performance and business impact.

Required qualifications:

• Strong hands on experience with ML models for tabular data and deep understanding of underlying methodologies 
• Hands-on experience experience with end-to-end project ownership from research to production
• Proven ability to extract predictive signal from complex, messy real-world data at scale
• Experience training models on Big Data and optimizing for inference latency
• Experience with ML cloud-based platforms  and MLOps tools and practices (experiment tracking, model versioning, deployment pipelines)
• Strong proven Python skills and familiarity with ML packages for tabular data processing (scikit-learn, PyTorch, pandas, polars etc.)
• Solid understanding of experimental design, causality and model validation
• Experience working closely with data engineering pipelines

Preferred Qualifications:

• BA in statistics, ML, computer science or related fields
• Experience with causal inference methods, uplift modeling, A/B testing
• Familiarity with modern LLM APIs (OpenAI, Anthropic, Google)
• Experience packaging models, building inference endpoints, and optimizing latency
• Exposure to drift detection, data quality checks, and performance monitoring
• Experience with containerization (Docker) and serving frameworks (FastAPI, Flask, TorchServe, BentoML, etc.)