Machine Learning Engineer Graduate (Conversational AI) - 2027 Start

What you'll do

• Develop agent runtime, safety guardrails, tools, and context and memory management for long multi-turn conversations.
• Build post-training and data flywheel systems that convert served conversations into training, evaluation, and retrieval signals.
• Create trustworthy evaluation and online experimentation systems, including regression checks, canaries, A/B tests, and causal readouts.

What they ask for

• Completing or recently completed a bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
• Strong Python plus one of C++, Go, Rust, or Java.
• Solid ML/DL/NLP fundamentals and hands-on LLM or agent experience through coursework, research, internship, competition, open source, or a serious side project.
• Basic statistical literacy and ability to turn a paper or engineering blog into working code.

Nice to have

• Built an agent runtime, memory/context system, RAG or tool-use agent, or fine-tuned/post-trained model.
• Experience in post-training, agent systems, evaluation and experimentation, self-improving systems, inference/serving, or multilingual NLP.

Tools

Python, C++, Go, Rust, Java, SFT, DPO, RL, MCP

AI focus

Build a self-evolving conversational AI agent for global e-commerce customer service, including agent runtime, memory and context engineering, post-training, tool use, evaluation, and online experimentation.