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 ethics and safety 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 is essential.
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.
Software Engineer, Model Interaction 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 Software Engineer, Model Interaction
✨Tip Number 1
Network like a pro! Reach out to current employees at Google DeepMind on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to data pipelines, SQL, or backend engineering. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving coding challenges and brushing up on your knowledge of data analytics and user behaviour. The more prepared you are, the more confident you'll feel during the interview.
✨Tip Number 4
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. Don’t miss out on this opportunity!
We think you need these skills to ace Software Engineer, Model Interaction
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for artificial intelligence shine through! We want to see how you connect with our mission and how your skills can contribute to advancing AI for public benefit.
Highlight Relevant Experience:Make sure to showcase your experience in back-end engineering and data analytics. We’re looking for specific examples of how you've used SQL and built data pipelines, so don’t hold back on the details!
Tailor Your Application:Customise your application to reflect the key responsibilities and skills mentioned in the job description. Use similar language to demonstrate that you understand what we’re looking for and how you fit into the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Google DeepMind
✨Know Your Data Inside Out
Make sure you brush up on your data pipeline knowledge and SQL skills. Be ready to discuss how you've used these tools in past projects, especially in relation to user behaviour analysis. This will show that you can handle the data-driven aspects of the role.
✨Show Off Your Backend Skills
Familiarise yourself with the programming languages mentioned in the job description, like C++, Java, or Go. Prepare to talk about specific projects where you've implemented backend solutions, and be ready to solve a coding challenge during the interview.
✨Communicate Like a Pro
Since this role involves collaboration with model owners and data engineers, practice explaining complex technical concepts in simple terms. Use examples from your experience to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their AI initiatives and how they measure success. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values.
