At a Glance
- Tasks: Lead a team of engineers to enhance data quality for GenAI projects.
- Company: Join Google Cloud, a leader in digital transformation and innovative technology.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge tech.
- Other info: Dynamic environment with opportunities to collaborate across various teams.
- Why this job: Make a real impact on AI projects while developing your leadership skills.
- Qualifications: 8 years in software development and 3 years in technical leadership required.
The predicted salary is between 80000 - 100000 £ per year.
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C++).
- 3 years of experience in a technical leadership role; overseeing strategic projects, with 2 years of experience in a people management, supervision/team leadership role.
- Experience with exploratory data analysis.
Preferred qualifications:
- Master's degree in Computer Science, Statistics, or Mathematics.
- Familiarity with ML production tools and lifecycle.
- Strong cross-functional collaboration skills.
Responsibilities:
- Lead a team of Engineers in alignment with Google's manager expectations by delivering results, building a community, and developing people.
- Improve the quality of data collections used for GenAI model training by identifying best practices through quantitative pilot studies and implementing the adoption of these practices by human data collection systems.
- Productionize and standardize methods developed by data scientists for high-quality data and ensure that these metrics are visible to the right stakeholders, meaningful, and actionable.
- Collaborate with horizontal infrastructure teams to monitor and report data quality at every stage of the data collection lifecycle, from collection design through training and model release.
- Provide technical and managerial guidance to the Crowd and Data Platform team.
- Work cross-functionally with Data Science, Product, UX/UXR, Infrastructure, and Operations teams.
Engineering Manager, GenAI Human Data Quality in London employer: Google
As an Engineering Manager at Google, you will thrive in a dynamic and innovative work culture that prioritises collaboration and employee growth. With access to cutting-edge technology and the opportunity to lead diverse teams on impactful projects, you will not only enhance your technical skills but also develop your leadership capabilities in a supportive environment. Google's commitment to fostering a community of excellence ensures that every team member is empowered to contribute meaningfully to transformative solutions across the globe.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager, GenAI Human Data Quality in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is a great way to demonstrate your technical expertise and leadership capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to engineering management. Think about how you would lead a team, handle conflicts, and drive project success. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a straightforward way to get your application noticed by the right people.
We think you need these skills to ace Engineering Manager, GenAI Human Data Quality in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 8 years of software development experience and any leadership roles you've held. We want to see how you've managed teams and projects, so don’t hold back on those details!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Use keywords from the posting, like 'technical leadership' and 'data quality', to show us you’re a perfect fit for the role.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your achievements shine through without unnecessary fluff.
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. We can’t wait to hear from you!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and C++. Be ready to discuss your past projects in detail, focusing on your technical leadership experience and how you've overseen strategic projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your people management experience. Think about times when you successfully guided a team through challenges or improved their performance. This will demonstrate your ability to lead and develop engineers effectively.
✨Understand Data Quality Practices
Familiarise yourself with best practices for data collection and quality assurance, especially in the context of GenAI. Be prepared to discuss how you've implemented these practices in previous roles and how they can be applied to improve data quality at Google.
✨Cross-Functional Collaboration is Key
Since this role involves working with various teams, think of examples where you've collaborated across functions. Highlight your communication skills and how you've managed to align different teams towards a common goal.
