At a Glance
- Tasks: Organise and build insights from human interactions with AI models.
- Company: Join Google DeepMind, a leader in AI innovation for public benefit.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on safety and ethics in AI.
- Why this job: Shape the future of AI research and make a real impact on technology.
- Qualifications: Experience in backend engineering, data pipelines, and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for someone who can organize and build insights from interactions humans have with AI models. This individual thrives in the world of data, possessing a strong command of data pipelines, SQL, and backend software engineering. This individual will ensure seamless and scalable delivery of interaction data to model developers & model researchers. Our overarching goal is to drive a flywheel effect to fuel continuous improvement and innovation within our AI initiatives.
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: Join our team of engineers and shape the future of online analytical processing for AI research! We are seeking motivated individuals with experience in using data to better understand user behaviour across ML/AI systems who are interested in creating and enhancing platforms to help research flourish! You’ll join an inspiring and collaborative environment, working on ground-breaking technology with potentially extraordinary impact.
Key responsibilities:- Define and build the workflows to extract human-model interactions and provide data & insights to researchers and engineers working on AI models.
- Be the point of contact for model owners, surfacing & advocating for feature requests to influence the data gathered (e.g. feedback fields/structure, data retention/export modes).
- Interface with data engineers about best practices regarding data retention and analysis: anomaly detection, automatic labelling, cleaning/filtering, handling of sensitive data.
- Setting up the right scalable, flexible and privacy-preserving governance.
- Lead integration efforts to create robust feedback loop between human interactions and model owners.
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
- SWE interpersonal skills (discuss technical ideas effectively with colleagues, e.g. through whiteboard, design docs, presentations; interact directly with our end users on various channels).
- Experience in back-end engineering (e.g. C++, Java, Kotlin, Rust, Go, etc).
- Experience using data pipelining and data analytics.
- Experience using SQL and data visualization tools.
In addition, the following would be an advantage:
- Experience with data collection to understand and analyze user behaviour across ML/AI systems.
- Experience in implementing novel data plotting and data visualization tools.
- Basic understanding of statistics or data science.
Application deadline: 26th April 2024
AI Interaction Data Engineer — Insights & Governance employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer, fostering a culture of collaboration and innovation in the heart of AI research. Our team enjoys a dynamic work environment that encourages personal and professional growth, with access to cutting-edge technology and resources. We offer competitive benefits and a commitment to ethical practices, ensuring that our employees contribute to meaningful advancements in artificial intelligence for the greater good.
StudySmarter Expert Advice🤫
We think this is how you could land AI Interaction Data Engineer — Insights & Governance
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Google DeepMind. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data pipelines and AI interactions. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and backend engineering knowledge. Practice explaining your thought process clearly, as communication is key when discussing technical ideas with the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Google DeepMind.
We think you need these skills to ace AI Interaction Data Engineer — Insights & Governance
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used data to drive insights or improvements in past projects. We love seeing candidates who are genuinely excited about the impact of their work.
Tailor Your Experience:Make sure to highlight your relevant experience with data pipelines, SQL, and backend engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your technical prowess and any projects that demonstrate your capabilities.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to understand your qualifications and motivations.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Google DeepMind
✨Know Your Data Inside Out
Make sure you’re well-versed in data pipelines and SQL. Brush up on how to extract insights from human interactions with AI models, as this will be a key part of the role. Be ready to discuss specific examples of how you've used data to drive decisions or improvements in past projects.
✨Show Off Your Technical Skills
Prepare to talk about your experience with back-end engineering languages like C++, Java, or Go. Have some examples ready that showcase your problem-solving skills and how you’ve tackled challenges in previous roles. This is your chance to shine!
✨Communicate Effectively
Since you'll need to interact with model owners and data engineers, practice explaining complex technical ideas in simple terms. Use whiteboards or diagrams if possible during mock interviews to demonstrate your thought process and make your explanations clearer.
✨Understand the Bigger Picture
Familiarise yourself with the ethical implications and governance around AI data usage. Be prepared to discuss how you would ensure privacy and compliance while still driving innovation. Showing that you care about the broader impact of your work can set you apart from other candidates.
