Machine Learning Engineer

What You’ll Do

• Train and fine-tune embedding and reranking models for real-world retrieval workloads.
• Build multilingual embedding models that retrieve accurately across languages, regions, and mixed-language conversations.
• Improve the intelligence behind our Founding Agent. From understanding intent and retrieving context to choosing better responses and converting conversations into meaningful outcomes.
• Help build Moss’s Action Layer, enabling agents to move from retrieving context to determining and executing the right next action.
• Own the full model-development cycle: dataset creation, training, evaluation, optimization, deployment, and iteration.
• Build evaluation pipelines that measure retrieval relevance, multilingual quality, agent outcomes, latency, memory usage, and inference cost.
• Improve model efficiency through distillation, quantization, and inference optimization, particularly for CPU and ARM devices.