Qloo
Machine Learning Engineer (LLM / Personalization)
$100K–$120K
New York City · Hybrid · Full-time · Posted Apr 15, 2026
About the job
Build and deploy production machine learning systems that combine LLMs with Qloo’s structured taste graph for personalization, recommendations, and taste understanding.
What you'll do
- Develop LLM features, including RAG, agent workflows, and prompt and tool orchestration.
- Integrate LLMs with entity graphs and embeddings; evaluate and optimize model accuracy, relevance, cost, and latency.
- Build and deploy ML systems, collaborate on large-scale data pipelines, and experiment with modern ML approaches.
What they ask for
- Strong experience with Python and machine learning frameworks.
- Experience with LLMs, including APIs and/or open-source models.
- Experience deploying ML systems in production and familiarity with retrieval, embeddings, vector search, or recommendations.
- Experience with data pipelines and large-scale datasets, cloud platforms, and AI-native development workflows.
Nice to have
- Prior experience in a startup or fast-paced environment.
Pay
USD 100,000–120,000 (per-year-salary) (base salary)
Tools
Python, PyTorch, CUDA, Metaflow/Kubeflow, OpenAI, Anthropic, Hugging Face, Airflow
AI focus
Develop LLM-powered personalization and recommendation systems grounded in structured cultural data, including RAG, agent workflows, and model evaluation.
Model-written summary · the original posting is authoritative