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Senior Machine Learning Engineer (RAGs)

Factored
Location
Latin America
Posted
24 days ago
Department
Machine Learning Engineering
What they actually want (must-haves)
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
  • 5+ years of hands-on experience developing and deploying machine learning models in production environments
  • 4+ years of experience with production NLP and deep learning models using frameworks like PyTorch and TensorFlow
  • At least 1+ year of experience with Retrieval-Augmented Generation (RAG)
  • Proven experience writing production-level code, with strong proficiency in Python
  • Expertise in working with large language models (LLMs) such as GPT, Gemini, and Claude
What the job really is

As a Senior Machine Learning Engineer at Factored, you will focus on designing, developing, and deploying Retrieval-Augmented Generation (RAG) models to solve complex problems for clients. Your role involves collaborating with client teams, optimizing model performance, and ensuring seamless integration of AI solutions in production environments. You will also write maintainable code and contribute to the development of frameworks for GenAI products.

Benefits
  • Ownership through equity participation
  • Annual company retreat
  • Education bonus for continuous learning
  • Company-wide winter break
  • Paid time off
  • Optional in-person events and meetups
Things to weigh
  • Fully remote position may require self-discipline and effective communication skills
  • Focus on RAG models may limit exposure to other machine learning techniques
  • High expectations for collaboration and technical leadership may require strong interpersonal skills
Job score3.4/5
Benefits4/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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