ML Researcher

Posted 77ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

ML Researcher leading end-to-end machine learning projects for AI-powered marketing firm. Developing and optimizing models with a focus on business impact and scalability.

Responsibilities:

  • Develop, train, and evaluate ML models, with a focus on tabular, predictive, and ranking models
  • Work with data across the full funnel to support performance and optimization use cases
  • Contribute directly to production-focused modeling, ensuring models are practical, scalable, and reliable in real-world use

Requirements:

  • 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
  • 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.)

Benefits:

  • Competitive salary and benefits package
  • Medical insurance
  • Top equipment kit
  • Full Remote
  • Collaborative and innovative work environment
  • Career growth and development opportunities
  • A chance to work with a talented and driven team of professional