Machine Learning Engineer - Agentic AI

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DiDi Autonomous Driving is hiring a Machine Learning Engineer to build agentic AI systems that improve autonomous driving software. The role combines machine learning, LLM agents, and recursive self-improvement loops to automate policy code changes, data curation, and evaluation. You will shape both onboard architecture and the development workflow for Level 4 autonomous driving.

• Build agentic harnesses with permissioned access to the driving stack, data, training infrastructure, and evaluation environments
• Develop recursive self-improvement loops including failure mining, candidate generation, evolutionary search, and targeted data generation
• Curate a reusable skill library with verification checks before promotion
• Train and fine-tune LLMs on agent development trajectories
• Advance agent-as-policy approaches that directly improve driving behavior
• Shape onboard architecture within latency, compute, determinism, and safety limits
• Collaborate with prediction, planning, simulation, and onboard teams to productionize prototypes

• Strong machine learning background in deep learning, reinforcement learning, or decision-making systems
• Hands-on experience building LLM agent systems such as tool use, multi-agent orchestration, or automated evaluation loops
• Experience training or fine-tuning LLMs for agentic workflows including trajectory data curation, SFT, or RL from execution feedback
• Strong Python skills and working C++
• Rigorous experimental habits with controlled comparisons and held-out evaluation
• Ability to own a system from research prototype to production

• Built an agentic harness or self-improving loop for a specific product or domain
• Experience in autonomous driving or robotics, especially planning, prediction, simulation, or sim-to-real transfer
• Familiarity with code-as-policy, program synthesis, LLM-driven optimization, or evolutionary search
• Publications at top ML or robotics venues (NeurIPS, ICML, ICLR, CVPR, RSS, CoRL)
• BS, MS, or PhD in Computer Science, Machine Learning, Robotics, or a related field