Qloo - Machine Learning Engineer (LLM / Personalization)

New York City - Hybrid3mo ago

In Office WW Cloud Computing Artificial Intelligence Machine Learning Engineer CUDA Python Metaflow Kubeflow Hugging Face

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

Responsibilities

• Design, build, and deploy machine learning models and systems that power personalization, recommendation, and taste understanding • Develop and productionize LLM-powered features, including retrieval-augmented generation (RAG), agent workflows, and prompt / tool orchestration • Integrate LLMs with Qloo’s structured entity graph and embedding systems to improve accuracy, relevance, and explainability • Experiment with and evaluate modern ML approaches (transformers, embedding models, ranking systems, hybrid recommenders) • Collaborate with Data Engineering to leverage large-scale datasets for LLM pipelines • Contribute to model evaluation frameworks and optimize model performance, cost, and latency in production environments • Stay up-to-date with the latest advancements in LLMs, recommendation systems, and applied ML—and bring those insights into production