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For Companies At a Glance
- 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 opportunities for collaboration and continuous learning.
- Why this job: Make a real impact in AI while pushing boundaries and achieving ambitious goals.
- 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 36000 - 60000 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.
Key responsibilities:
- 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 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
✨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
Connect with current or former employees of Google DeepMind on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific expectations for the Research Engineer role, which can be invaluable during your application process.
✨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. Highlighting your impact and the innovative solutions you've developed will set you apart from other candidates.
✨Tip Number 4
Stay updated on Google’s recent projects, such as SynthID, and think critically about how your skills could contribute to similar initiatives. Being able to articulate how you can add value to ongoing projects will show your enthusiasm and alignment with the company's mission.
We think you need these skills to ace Research Engineer, Provenance Engineering London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, programming, and quantitative skills. Emphasise any projects or research that align with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your commitment to solving key challenges. Mention specific projects or experiences that demonstrate your ability to collaborate and innovate within a team.
Highlight Relevant Skills: In your application, clearly outline your programming experience and familiarity with scripting languages and pipelining tools. If you have experience with GenAI models or adversarial robustness, make sure to include that as well.
Prepare for Technical Questions: Be ready to discuss your technical background and how it relates to the role. Think about examples from your past work that demonstrate your problem-solving abilities and your approach to deploying machine learning solutions.
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 personal projects or interests that demonstrate your commitment to advancing safe and innovative machine learning technologies.
