Genesis is hiring a ML Engineer

Genesis is looking for an ML Engineer to build reliable, performant, and scalable ML infrastructure for its AI interior design product. Your mission is to create the heart of the product—ML systems that work fast, accurately, and stably.

What You'll Do

• Deploy and maintain ML/LLM models in production, transitioning from Notebooks to microservices.
• Work with LLM APIs like OpenAI and Gemini, as well as open-source models, including fine-tuning.
• Build full-cycle RAG architecture involving embeddings, vector databases (Pinecone/Qdrant), and retrieval strategies.
• Build ETL/ELT pipelines for data preparation for ML.
• Integrate models closely with backend services using FastAPI or Flask.
• Optimize latency, token cost, and throughput.
• Create a system of automatic tests and benchmarks to evaluate model and prompt quality.

What We're Looking For

• 2.5+ years of experience in ML Engineering, Data Science, or NLP.
• Production experience implementing models.
• Deep Python knowledge (pandas, numpy, scikit-learn, pydantic).
• Experience with the LLM Stack: OpenAI/Anthropic API, HuggingFace, and an understanding of Prompt Engineering principles.
• Practical experience with vector search using Pinecone, Qdrant, or Weaviate.
• DevOps Skills: Docker, Kubernetes basics, and CI/CD.
• Understanding of how to evaluate models, including ROC, precision/recall, and LLM evaluation frameworks.

Nice to Have

• Experience with LangChain or LlamaIndex.
• Knowledge of optimization methods like quantization, distillation, and batching.
• Experience working with GPU and cloud providers such as AWS, GCP, or Azure.
• Understanding of high-load system architecture.

Technical Stack

• Python, pandas, numpy, scikit-learn, pydantic
• OpenAI API, Gemini API, HuggingFace
• Pinecone, Qdrant, Weaviate
• Docker, Kubernetes, FastAPI, Flask
• AWS, GCP, Azure, LangChain, LlamaIndex

Team & Environment

You will work with direct communication with founders and a strong technical team.

Benefits & Compensation

• Impact: Build architecture from scratch. Your decisions define the future of the product.
• Development: Direct path to Lead ML Engineer or AI Architect positions.
• Team: Direct communication with founders and a strong technical team.
• Remote work format.

Work Mode

This is a fully remote position.

Genesis is an equal opportunity employer.