Research Engineer, Agentic AI
Share
Job Location:
Mountain View, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
15-10-2025
Vacancies:
1 Vacancy
Job Summary
Snapshot
We are the team that built and shipped Google Searchs AI Mode from scratch to production. Now we are embarking on our next mission to build the future of AI assistants. As a Research Scientist or Engineer on this team you will be at the forefront of AI tackling foundational challenges in agentic reasoning planning and tool use with a clear and proven path to delivering your work to billions of users.
About Us
At Google DeepMind were a team of scientists engineers machine learning experts and more working to advance the state of the art in artificial intelligence and ship AI products at a global scale. From data curation model training evaluation to serving orchestration we own end to end development of a helpful AI product. Our team has a proven track record of applying innovative techniques and creating multiple AI products from inception.
The Role
Your work will directly address some of the most critical open questions in AI today. How do we build agents that can manage long-context dialogues and tasks How can an agent learn to orchestrate diverse toolsfrom web search and browsing to UI interaction and private data accessefficiently and effectively How do we scale from a single powerful agent to a collaborative multi-agent system You will be responsible for developing novel solutions to these questions implementing them within our advanced research stack and benchmarking their performance on challenging real-world tasks.
This is a unique opportunity to build the core components of an AI that can help a user act as an expert shopping companion help design a living room or planting planner through conversation. You will contribute to a common technical architecture that connects cutting-edge capabilities like bidirectional streaming and long-context private data retrieval and Deep Research with a clear path to bring successful experiments to millions of users.
Key responsibilities:
- Design implement and iterate on novel models and algorithms (e.g. Agentic RL) to improve agentic tool use.
- Tackle the core research problem on long-context reasoning.
- Develop sophisticated agentic orchestration from data model training to inference.
- Explore and build advanced multi-agent systems in both Python for rapid experimentation and C for high-performance deployment.
- Continuously evaluate and benchmark the models against industry standards.
- Partner with product and engineering teams to integrate your research breakthroughs into live experimental product surfaces directly influencing the future of Googles assistants.
About You
In order to set you up for success as a Research Scientist / Research Engineer at Google DeepMind we look for the following skills and experience:
Requirements:
- Bachelors or Masters degree in Computer Science a related technical field or equivalent practical experience.
- 3 years of professional or academic experience in machine learning or a related field.
- Strong programming skills and experience in Python.
- Experience with one or more deep learning frameworks (e.g. JAX TensorFlow PyTorch).
- Experience in one of the following research areas: Reinforcement Learning Large Language Models (LLMs) Agent-based Systems or Natural Language Processing.
In addition the following would be an advantage:
- A PhD in Computer Science Machine Learning or a related field with a strong publication record in top-tier conferences.
- Demonstrated experience building and training agentic AI systems particularly with tool use (e.g. ReAct-style models).
- Deep expertise in Reinforcement Learning especially in the context of large-scale models and long-horizon tasks.
- Experience with long-context models context compression techniques or state-space models.
- Proficiency in Python/C for building high-performance low-latency machine learning systems.
Required Experience:
Unclear Seniority
Key Skills
- Robotics
- Machine Learning
- Python
- AI
- C/C++
- OS Kernels
- Research Experience
- Matlab
- Rust
- Research & Development
- Natural Language Processing
- Tensorflow
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
