RRemoteville
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Data Scientist

Skills
Computer ScienceArtificial IntelligenceData ScienceDeep LearningLarge Language ModelsMachine LearningNeuro-Linguistic Programming
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Solid working knowledge of transformer architectures in NLP
  • Proficiency in PyTorch including training loops and fine tuning workflows
  • Exposure to parameter efficient techniques such as LoRA
  • Experience with real world text data across classification extraction embeddings or search at scale
  • Exposure to instruction fine tuning or model serving
  • Grounding in classical ML and statistics
  • Familiarity with GenAI and agentic patterns
  • Clear communication skills across functions
  • Curiosity about AI and a habit of experimenting
  • Strong ownership instincts

Nice to have

  • MSc in related STEM field

Day to day

  • Train evaluate and iterate on ML models for customer feedback tasks using custom fine tuning pipelines and rigorous experiments
  • Build and maintain LLM powered features including retrieval pipelines reranking systems and insight generation with guidance from senior teammates
  • Contribute to evaluation frameworks semantic search and model integration while writing clean well tested code and translating business needs into practical ML solutions

Hiring process

  • Introductory asynchronous interview
  • Call with Chief Scientist
  • Short take home assignment
  • Meet Data Science Engineering and Product teams
  • Call with cofounder