About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience
- 5 years of experience in software development, including coding experience in Python, C++, Java, JavaScript, or R
- 3 years of experience in ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation, data processing)
- Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, ADK, tool-use/function-calling, or multi-agent RL)
- Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models
More about this role
- Lead 2–4 week "Strike Sprints" to rapidly prototype advanced agent state machines, tool-use orchestration, and reflection loops, transforming boilerplate programming into intent-driven AI topologies.
- Partner with product and engineering teams via Forward Deployed Engineering (FDE), embedding into their workflows to translate novel agentic prototypes into scalable enterprise solutions.
- Architect and build generalizable horizontal agents (e.g., AutoResearch and AutoFounder) to accelerate engineering/researcher velocity.
- Develop agent architectures, planning frameworks, and self-improving foundation models to advance autonomous AI systems.
- Collaborate across Google to disseminate technical playbooks and optionally publish breakthroughs at ML conferences.
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience.
- 5 years of experience in software development, including coding experience in Python, C++, Java, JavaScript, or R.
- 3 years of experience in ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation, data processing).
-...
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