Google DeepMind is looking to rapidly explore and implement state-of-the-art Gemini models across core Google products by quickly ideating, building, and iterating on proof-of-concept integrations that leverage cutting-edge AI capabilities.
Requirements
- Experience with core software engineering and building highly available, high-traffic production systems.
- Experience training, deploying and operating large machine learning models (LLMs or similar) in a high-scale, low-latency production environment.
- Solid understanding of distributed systems, cloud computing principles, and performance optimization.
- Proven track record in "zero-to-one" development—transforming raw ideas into rapid prototypes and full stack experience driving them through to full production.
- Strong programming skills in Python and C++.
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, particularly for inference and serving.
- Full-stack engineering experience, comfortable working with frontend frameworks (e.g., React, Flutter, or simple web UIs) to visualize ideas, as well as backend services to power them.
Responsibilities
- rapidly exploring and implementing the state-of-the-art Gemini models across core Google products
- quickly ideate, build, and iterate on proof-of-concept integrations that leverage cutting-edge AI capabilities
- utilizing the latest advancements in multimodal large language models (vision, audio, text) to build functional, tangible prototypes
- jumping between different parts of the stack—from hacking together an agent harness for Gemini to quickly bringing up an end-to-end application demo for proving out product experiences
- apply your broad engineering expertise to create the initial sparks that could eventually impact users globally
- drive the rapid development of experimental Gemini-powered features
- collaborating with multiple product surfaces across Google to bring to life some of these experiences
Other
- Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- A minimum of 5 years of relevant professional experience.
- Excellent communication and collaboration skills.
- You are a passionate and talented software engineer with a versatile, full-stack AI skillset and a proven ability to rapidly prototype and iterate on ideas.
- You have a collaborative mindset and are excited to work as part of a team to tackle ambitious, undefined challenges.
