Member of Technical Staff - Code Generation

Overview

Introducing Moonlake, AI for creating real-time interactive content

Mission
:
As an applied AI Research Engineer:
Code agents (post training + systems)

• Agentic systems design:
  Tool catalogs, function calling, program synthesis/repair loops, ReAct/Reflexion/ToT/Lang Graph-style control, self-verification, sandboxed execution.
• Evaluation mindset:
  Build task suites for multi-step coding Full-stack LLM engineer:
  Prompt libraries, routing, retrieval, KV-cache management, streaming, telemetry.
• Security & isolation:
  Docker/firejail, network egress controls, secrets hygiene, dependency pinning, supply-chain sanity.
• Strong post-training:
  Supervised fine-tuning + preference/trace RL (DPO/RLAIF/RLHF), dataset curation, reward shaping, safety filters.

• Has shipped agents that pass real repos' test suites end-to-end.
• Has published papers in agentic systems/ code gen Contributions to agent frameworks or OSS evals (Lang Graph/Auto Gen/Guidance/LEAP, SWE-bench variants, Eval Plus).
• Built datasets from execution traces; can show improvements from data > params.

We are committed to being an on-site, in-person team currently based in San Mateo