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- Tasks: Join a mission-driven team to tackle exciting machine learning challenges and enhance Google products.
- Company: Be part of Google DeepMind, a community dedicated to solving intelligence for public benefit.
- Benefits: Enjoy a supportive environment with collaboration, learning opportunities, and a focus on innovation.
- Why this job: Make a real impact in AI while working on cutting-edge projects with diverse experts.
- Qualifications: Ph.D. in Computer Science or related field, programming skills, and a passion for safe machine learning.
- Other info: Applications close at 5pm (UK) on Monday 2nd June 2024.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Accelerate research and product deployment in strategic projects that enable trustworthy, robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, you will apply ML and other computational techniques to a wide range of challenging problems and help bring them to a wide range of Google products. A public example of recent work is SynthID, and we are actively pursuing other exciting projects across many disciplines.
About Us: We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
The Role: As a Research Engineer in Strategic Initiatives, you will use your machine learning expertise to collaborate with domain experts, machine learning scientists and engineers within our strategic initiatives programs and across Google. Domains may include, but are not limited to, machine learning robustness, provenance of synthetic media, and the trustworthiness of data.
- Engage with existing research efforts in the Strategic Initiatives Program to solve key challenges using your broad machine learning experience.
- Collaborate with researchers and engineers to identify and develop novel machine learning approaches and transform them to scalable solutions that can be integrated within Google products.
- Engage with product teams to drive the deployment of our research.
- Report and present research findings and developments (including status and results) clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet research goals for the wider science programme.
About You: In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- Ph.D. in Computer Science or related quantitative field or equivalent practical experience.
- Passion for accelerating the development of safe machine learning using innovative technologies.
- Programming experience.
- Quantitative skills in maths and statistics.
- Experience with common scripting languages and pipelining tools.
In addition, the following would be an advantage:
- Experience in applying machine learning techniques to problems surrounding robust and trustworthy deployments of models.
- Experience with GenAI audio or video models.
- Demonstrated success in delivering high quality research impact.
- Experience with adversarial robustness, data influence or watermarking.
- A real passion for AI!
In assessing technical backgrounds, we will take a holistic view of the mix of scientific, machine learning, and computational experience. We do not expect you to be an expert in all fields simultaneously.
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 opportunity 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.
Applications close at 5pm (UK) on Monday 2nd June 2024.
Research Engineer, Provenance Engineering London, UK (London) employer: DeepMind Technologies Limited
Contact Detail:
DeepMind Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, Provenance Engineering London, UK (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in areas like robustness and trustworthiness. This will not only help you understand the challenges faced by the team but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the field of AI and machine learning. Attend relevant conferences or webinars where you can meet researchers and engineers from Google DeepMind. Building these connections can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous research projects in detail, especially those that demonstrate your ability to apply machine learning techniques to real-world problems. Be ready to explain your thought process, methodologies, and the impact of your work.
✨Tip Number 4
Showcase your passion for AI and its applications in your conversations. Whether it's through personal projects, contributions to open-source, or staying updated with industry trends, demonstrating your enthusiasm can set you apart from other candidates.
We think you need these skills to ace Research Engineer, Provenance Engineering London, UK (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and research. Emphasise any projects or roles that demonstrate your ability to solve complex problems and collaborate with teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your understanding of the role. Mention specific projects or technologies you are excited about, such as SynthID, and how your skills align with the company's mission.
Showcase Your Research Experience: In your application, detail your research experience, particularly any work related to machine learning robustness or trustworthy deployments. Highlight any publications or presentations that demonstrate your impact in the field.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail. Prepare examples of how you've applied machine learning techniques in past projects, especially those that relate to the responsibilities outlined in the job description.
How to prepare for a job interview at DeepMind Technologies Limited
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight how your work aligns with the mission of the company, especially in areas like machine learning robustness and trustworthy deployments.
✨Demonstrate Collaboration Skills
Since the role involves working closely with researchers and engineers, share examples of successful collaborations from your past. Emphasise your ability to communicate complex ideas clearly and work as part of a team.
✨Prepare for Technical Questions
Brush up on your programming skills and be ready to tackle technical questions related to machine learning techniques. Familiarise yourself with common scripting languages and pipelining tools that are relevant to the role.
✨Express Your Passion for AI
Convey your enthusiasm for artificial intelligence and its potential impact. Discuss any innovative technologies or projects you are passionate about, particularly those that focus on safe and robust machine learning.
