Machine Learning Engineer

A partner company is looking for a Machine Learning Engineer, Answers Relevance based in the United States to develop and scale advanced AI systems that help users discover relevant, trustworthy answers.

• Design, develop, deploy, and optimize large-scale machine learning systems, including information retrieval, ranking, embeddings, recommendation systems, and LLM-powered features
• Lead machine learning projects from ideation through production
• Develop and improve retrieval and ranking models
• Build and optimize retrieval-augmented generation (RAG) systems and foundational retriever models
• Explore advanced AI approaches, including agentic AI, multi-agent orchestration, tool calling, and MCP integrations
• Work with open-weight language models such as Qwen and Llama, applying prompt engineering, fine-tuning, and post-training
• Improve model grounding, instruction following, and factual reliability while reducing hallucinations
• Establish robust evaluation frameworks and product success metrics
• Optimize production LLM systems for latency, caching, cost efficiency, and reliability
• Build and maintain reliable ML infrastructure, including data pipelines and model serving systems
• Mentor fellow engineers and contribute to long-term machine learning strategy

• 4–12 years of experience building, deploying, and operating machine learning systems in production
• Experience with frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Strong Python programming skills; Golang experience is a plus
• Experience with data pipelines, feature engineering, model training, inference, serving, and production monitoring
• Familiarity with recommendation systems, search, retrieval and ranking, embeddings, or foundational retriever models
• Experience with LLM-based applications, RAG systems, or LLM evaluation is advantageous
• Knowledge of open-weight language models, prompt engineering, and fine-tuning is beneficial
• Familiarity with agentic AI, tool calling, and multi-agent systems is a plus
• Must be based in the United States and authorized to work in the country

• Annual base salary range of $216,700–$322,000 USD
• Equity compensation: eligibility for restricted stock units (RSUs)