At a Glance
- Tasks: Lead the development of innovative AI applications using Google's generative models.
- Company: Join Google DeepMind, a leader in AI technology and innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact in AI while leading a talented team.
- Qualifications: 5+ years in people management and strong software engineering skills required.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Manager, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, working across partner teams to deliver solutions, and maximise impact for Google.
Key Responsibilities:
- Overseeing projects with 5 years of experience in a people management, supervision/team leadership role.
- 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.
- 7 years of experience leading technical project strategy, ML design, and optimising industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Proven experience managing software engineering teams.
- Strong software engineering skills; proficiency in Python.
- Proven experience in developing and shipping software products rapidly.
- Experience evaluating model performance, analysing results, and implementing improvements.
- Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
- Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
- Ability to work in a fast-paced environment and adapt to changing priorities.
- Excellent communication, collaboration, and leadership skills.
Preferred Skills:
- Experience with generative AI research or applications.
- Contributions to open-source projects.
- Experience with front-end development.
- Experience working in, or founding early-stage startups.
- Experience delivering software solutions in a fast-paced, customer-facing environment.
If you are a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!
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 opportunities 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.
Manager, Applied AI Engineering employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our inclusive work culture encourages diverse perspectives and offers ample opportunities for professional growth, ensuring that our employees are at the forefront of technological advancements. Located in a vibrant tech hub, we provide a dynamic environment where passionate individuals can thrive and make a meaningful impact through cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Applied AI Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI or machine learning. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and leadership. Remember, they want to see how you think and solve problems, so be ready to showcase your thought process!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get that application in!
We think you need these skills to ace Manager, Applied AI Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your leadership experience and technical expertise in AI and ML, as we want to see how you can contribute to our team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of your past projects and how they relate to the role of Manager, Applied AI Engineering.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any relevant ML frameworks like TensorFlow or PyTorch. We love seeing candidates who can demonstrate their technical prowess and how it can benefit our projects.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Google DeepMind
✨Know Your AI Stuff
Make sure you brush up on the latest in generative AI and machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with model deployment and evaluation, as well as any projects you've led that showcase your technical prowess.
✨Showcase Your Leadership Skills
Since this role involves managing teams, be prepared to share specific examples of how you've successfully led software engineering teams in the past. Highlight your communication and collaboration skills, and how you've navigated challenges in a fast-paced environment.
✨Prepare for Technical Questions
Expect some deep dives into technical topics, especially around ML infrastructure and project strategy. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Demonstrate Your Passion
Let your enthusiasm for AI and machine learning shine through! Share any personal projects, contributions to open-source, or experiences in early-stage startups that reflect your commitment to innovation and your drive to make an impact in the field.
