Snapshot 

Google DeepMind Developer Relations Engineering champions developer success by delivering seamless experiences across our GenAI product suite. Through strong partnerships within DeepMind and Google, we provide high-quality launch materials, education, broad outreach, and a supportive ecosystem for developers of all backgrounds.

About Us 

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

Our team partners with product, engineering and research teams, as well as Marketing and all GTM functions. As a team, we aim to:

• Create high quality launch assets and educational materials for products (documentation, examples, courses) and scale them across 1P and 3P developers.
• Drive broad developer outreach across diverse communities enabling seamless adoption patterns for all styles of development.
• Promote and manage a healthy ecosystem that is positive, self-supportive, and collaborative.
• Deliver and facilitate high-quality, actionable feedback to improve our products for how users actually employ them.

Key responsibilities

• Create developer assets to support model and product launches (documentation, code samples, examples, cookbooks, tutorials, demos and prototypes) 
• Drive awareness and adoption of the Gemini API and Google AI Studio
• Scalable outreach via videos, blog posts, tutorials and educational training or course creation
• Create developer demos for use at 1P and 3P events
• Speak at 1P and 3P events 

About you

In order to set you up for success as a Developer Relations Engineer at Google DeepMind,  we look for the following skills and experience:

• Ability to produce excellent code samples, clear documentation, and effective how-to materials to enable developer success with technical offerings.
• Ownership of problems end-to-end and a team player with a collaborative mindset.
• Bachelor's degree or equivalent practical experience.
• Coding expertise in Python, Typescript or Javascript 
• 7 years of experience with machine learning algorithms and tools (e.g.,
• TensorFlow, Keras, LLMs), artificial intelligence, deep learning or natural
• language processing.
• 5 years of work experience in a technical role (e.g., software engineering, AI engineering, solutions consultant, etc.) or equivalent technical experience.
• Experience with testing, designing and influencing software launches

In addition, the following would be an advantage: 

• Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable
• 4 years of experience in an external facing role or equivalent experience through community or open source contributions
• Ability to navigate ambiguity in a fast paced environment
• Experience with product development lifecycle
• Ability to develop products and features MVP in Python/REST/JavaScript

The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm GMT Thursday 23rd April 2025

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.