Google’s Post

We’re hiring — right now — for Research Engineers to join Polaris, a new team at Google DeepMind. As synthetic data pipelines hit their ceiling, the hardest engineering problem in AI is translating the full depth, nuance, and complexity of real-world software engineering into rigorous evaluation frameworks and training benchmarks. That’s why we’re building Polaris. Rather than generating a large number of tasks using a synthetic data pipeline, engineers on the Polaris team focus on creating a smaller number of tasks that more closely capture the complexity of real-world software engineering — taking roughly a week to complete, from ideation to final approval. Alongside building these benchmarks, you will have the autonomy to launch entirely new projects within DeepMind aimed at advancing Gemini’s training data and evaluations. You’ll create experiments, prototype implementations, design new architectures, and tackle real-world problems across AI, NLP, compilers, search, and hardware/software performance analysis all while staying connected to the wider research community through university partnerships and publishing papers. Great talent comes from anywhere. We're hiring across the entire spectrum of experience to find the best people in the world. We want to hear from you if you are: • A Competitor or Hacker: You thrive in competitive programming, math olympiads (IMO, IOI, Putnam, USAMO), or hackathons, and love constructing deeply challenging problems. • An AI-Native Builder: You already live in AI coding agents and LLM-based workflows to ship software at high velocity. • A Polyglot Engineer: You can parachute into unfamiliar programming paradigms, tools, and technical stacks and master them rapidly. If you want to build with a team at Google DeepMind, or know someone who belongs in this room, join us. Apply now → https://goo.gle/3V5Kacp