At a Glance
- Tasks: Lead the development of innovative AI applications and mentor a high-performing team.
- Company: Join Google DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Competitive salary, diverse learning opportunities, and a chance to impact billions.
- Other info: Collaborative environment with pathways for exceptional career growth.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: 8 years in software development and 5 years in technical leadership required.
The predicted salary is between 72000 - 88000 £ per year.
hackajob is partnering directly with Google to hire for this role.
In this role, you will lead the development and deployment of novel applications, leveraging Google's generative AI models.
This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and Google customers.
You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest generation models.
You will be building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production.
You will drive product and business impact, and develop strong relationships with research teams.
You will be a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI.
Artificial intelligence will be one of humanity's most transformative inventions.
At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains.
Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
8 years of software development experience, including system design, data structures, and algorithms.
7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e. g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e. g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience with generative AI research or applications.
Experience evaluating model performance, analyzing results, and implementing improvements.
Experience with machine learning frameworks and libraries such as Tensor Flow, Py Torch, Hugging Face, etc.
Experience in developing and shipping software products rapidly.
Contributions to open-source projects.
Responsibilities: Lead a team in the design, development, and deployment of scalable generative AI applications and advocating industry best practices.
Lead the team through the rapid development of new features, iterating based on evaluation results while mentoring members to cultivate a collaborative and high-performing environment.
Collaborate with researchers and product managers to translate research advancements into tangible product features.
Oversee the optimization of software performance and ensure the reliability of deployed applications.
Lead the architecture and development of new products and features from 0 to 1.
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Manager, Applied AI Engineering, DeepMind in London employer: All The Top Bananas
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our work culture is built on a foundation of diversity and inclusion, offering employees unparalleled opportunities for growth and development while working on groundbreaking projects that have a meaningful impact on society. Located in a vibrant tech hub, we provide our team with access to cutting-edge resources and a supportive environment that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Applied AI Engineering, DeepMind in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Manager, Applied AI Engineering, DeepMind in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at All The Top Bananas.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at All The Top Bananas and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at All The Top Bananas
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If All The Top Bananas uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
