At a Glance
- Tasks: Research AI risks and develop evaluations to combat harmful manipulation.
- Company: Join DeepMind, a pioneering AI lab focused on responsible innovation.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits.
- Other info: Dynamic global teams with diverse learning opportunities and career pathways.
- Why this job: Make a real impact in AI safety and ethics while collaborating with top experts.
- Qualifications: Experience in research, publications in high-impact conferences, and AI tool proficiency.
The predicted salary is between 63000 - 77000 £ per year.
Preferred qualifications:
- Track record of driving complex projects, including in research settings.
- Track record of publications in high impact domain-relevant conferences or journals (NeurIPS, CHI, FAccT, etc).
- Ability to leverage AI tools to build and accelerate research pipelines or safety benchmark development.
- Commitment to translating research insights into practical applications and working with cross-functional teams.
About the job:
At DeepMind, the frontier of AI brings extraordinary opportunities and unprecedented responsibilities. As part of the Responsible Development and Innovation (ReDI) team, you will be responsible for researching emerging risks within the Harmful Manipulation risk domain, developing and implementing novel evaluations to drive understanding of AI-driven harmful manipulation. Your work will range from conducting technical investigations, probing how DeepMind’s most advanced AI models interact with and influence users, to informing mitigation and governance decisions, to publishing on novel methodologies and engaging with external stakeholders. You will have an opportunity to bridge research and practice, contributing novel approaches to help inform model development and deployment.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits.
Responsibilities:
- Partner cross-functionally to design and implement evaluations identifying Harmful Manipulation-related capabilities and risks; publish on novel methodologies and capabilities insights.
- Collaborate across teams to carry out holistic risk assessments, including determining if deployment safeguards are adequate for high-capability models.
- Work across evaluation and mitigation teams to assist mitigation efforts, while collaborating across Google to provide novel and actionable insights.
- Engage with external research community and stakeholders, including governmental entities, national safety institutes, third-party organisations (including the Frontier Model Forum), external subject matter experts, and academic communities.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Research Scientist, Harmful Manipulation, DeepMind employer: Google
As a Senior Manager in Ads Solutions Engineering at gTech, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. The company fosters a culture of continuous learning and development, offering ample opportunities to lead transformative projects while working with cutting-edge technologies. Located in a vibrant tech hub, gTech provides a unique chance to engage with top-tier clients and contribute to impactful solutions that drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Harmful Manipulation, DeepMind
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Google!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Scientist, Harmful Manipulation, DeepMind at Google.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Google.
✨Apply Directly through Our Website
When you find a suitable opening like Research Scientist, Harmful Manipulation, DeepMind at Google, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Scientist, Harmful Manipulation, DeepMind
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Google, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Google. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Google
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Google!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.