7 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Lead 2–4 week Strike Sprints to prototype agent state machines, tool-use orchestration, and reflection loops.
- Partner through Forward Deployed Engineering to translate agentic prototypes into scalable enterprise solutions.
- Architect and build generalizable horizontal agents such as AutoResearch and AutoFounder.
- Develop agent architectures, planning frameworks, and self-improving foundation models for autonomous AI systems.
- Collaborate across Google on technical playbooks and optionally publish breakthroughs at ML conferences.
- Independently lead engineering workstreams and mentor junior engineers.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
- At least 5 years of software development experience with coding in Python, C++, Java, JavaScript, or R.
- At least 3 years of experience designing ML systems and optimizing ML infrastructure, including distributed training, model deployment, evaluation, or data processing.
- Experience developing autonomous agents, multi-agent workflows, or agentic frameworks.
- Experience designing, pre-training, fine-tuning, or evaluating large language models and multimodal foundation models.
- Preferred: master’s degree or Ph.D. in a relevant technical discipline.
- Preferred: first-author scientific publication submissions on machine learning agents or NLP.
- Preferred: experience driving engineering delivery in SWAT, Pathfinding, or Forward Deployed Engineering environments.
- Preferred: experience building evaluation benchmarks, test harnesses, or simulation environments.
- Preferred: experience with reinforcement learning, reward modeling, RLHF, RLAIF, DPO, and human/AI preference alignment techniques.
Benefits
- US base salary of $174000–$252000, plus a 15% bonus target, equity, and benefits.
- Work involves rapid 2–4 week prototype sprints and Forward Deployed Engineering collaboration; publication opportunities are available.
Tech Stack
Categories
AI ResearchML Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.