At a Glance
- Tasks: Accelerate research and product deployment in machine learning with a mission-driven team.
- Company: Join DeepMind, a leading tech company focused on solving intelligence for public benefit.
- Benefits: Inclusive culture, collaborative environment, and opportunities for impactful work.
- Other info: Diverse team with excellent career growth and learning opportunities.
- Why this job: Make a real difference in AI by tackling challenging problems with innovative technologies.
- Qualifications: Ph.D. in Computer Science or related field, programming skills, and a passion for AI.
The predicted salary is between 36000 - 60000 £ 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 are a dedicated scientific community, committed to "solving intelligence" and ensuring our technology is used for widespread public benefit. We have built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We do not 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 at DeepMind – London, UK employer: Victrays
At DeepMind, we pride ourselves on being an exceptional employer, fostering a collaborative and inclusive work culture that empowers our employees to push the boundaries of machine learning. Located in London, our team is dedicated to solving complex challenges while ensuring that our technology benefits the public, offering unparalleled opportunities for professional growth and innovation. Join us to be part of a mission-driven community where your contributions will have a meaningful impact on the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Provenance at DeepMind – London, UK
✨Tip Number 1
Network like a pro! Reach out to current or former employees at DeepMind on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise. When you get the chance to chat with recruiters or during interviews, share your work and how it relates to their projects.
✨Tip Number 3
Stay updated on the latest in AI and machine learning. Follow relevant blogs, attend webinars, or join online communities. This not only helps you in interviews but also shows your passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the DeepMind team.
We think you need these skills to ace Research Engineer, Provenance at DeepMind – London, UK
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see your genuine interest in the field and how it aligns with our mission at DeepMind.
Tailor Your Experience:Make sure to highlight relevant experiences that showcase your skills in machine learning and research. We’re looking for specific examples that demonstrate your ability to tackle challenges and collaborate effectively.
Be Clear and Concise:Keep your writing clear and to the point. We appreciate well-structured applications that communicate your ideas effectively. Avoid jargon unless it's necessary, and make sure your passion comes across without overwhelming us with technical details.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Victrays
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to robustness and trustworthiness. Be ready to discuss your Ph.D. research or any relevant projects in detail, as this will show your depth of knowledge and passion for the field.
✨Collaborative Spirit
Since the role involves working closely with researchers and engineers, highlight your teamwork skills. Prepare examples of past collaborations where you successfully contributed to a project, showcasing your ability to engage with diverse teams and drive results.
✨Present Like a Pro
You’ll need to report and present your findings clearly, so practice explaining complex ideas in simple terms. Use visuals if possible, and be prepared to answer questions about your work. This will demonstrate your communication skills and ability to convey technical information effectively.
✨Show Your Passion
Let your enthusiasm for AI and machine learning shine through during the interview. Share what excites you about the field and how you stay updated with the latest advancements. This can set you apart as a candidate who is not just qualified but genuinely invested in the mission of DeepMind.
