Machine Learning Engineer (LLM / Personalization)

Qloo is seeking a Machine Learning Engineer to design and deploy systems that integrate LLMs with structured cultural intelligence. The ideal candidate will have experience in Python and machine learning frameworks, working with large language models, and building and deploying ML systems in production environments.

Requirements

• Strong experience in Python and machine learning frameworks (e.g., PyTorch, CUDA, Metaflow/Kubeflow, etc)
• Experience working with large language models (LLMs), including APIs (OpenAI, Anthropic, etc) and/or open-source models (Hugging Face)
• Familiarity with retrieval systems, embeddings, vector search, or recommendation systems
• Experience building and deploying ML systems in production environments
• Solid understanding of data pipelines (Airflow) and working with large-scale datasets (e.g., Spark, S3, SQL)
• Experience with AWS or similar cloud platforms
• Experience working in AI-native development workflows, including heavy use of tools like Claude Code, Cursor, or similar
• Strong problem-solving skills and ability to work across both research and engineering domains
• Prior experience in a startup or fast-paced environment

Benefits

• Competitive salary
• Benefits package, including health insurance, retirement plan, and paid time off