At a Glance
- Tasks: Work on groundbreaking AI projects and tackle real-world challenges with a talented team.
- Company: Join DeepMind, a leading AI lab focused on transformative technology for global benefit.
- Benefits: Competitive salary, diverse learning opportunities, and a commitment to safety and ethics.
- Other info: Dynamic environment with varied career pathways and a focus on collective achievement.
- Why this job: Make a significant impact in AI development while collaborating with top researchers worldwide.
- Qualifications: Bachelor's degree in Computer Science and experience with Python-based ML libraries.
The predicted salary is between 63000 - 77000 £ per year.
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly.
Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Artificial intelligence will be one of humanity’s most transformative inventions.
At Deep Mind, 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.
Minimum qualifications
- Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
- 2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or Open Source Software (OSS) contributions.
- 1 year of experience with machine learning.
Preferred qualifications
- Experience with large-scale system design, distributed systems, or performance engineering.
- A good understanding of engineering best practices, codebase design, and testing.
- Familiarity with how modern large language models are trained.
- Ability to collaborate with, and communicate effectively with, people with different skill sets and needs, and who may be distributed across different time zones.
Responsibilities
- Work on long term projects to enable new research, which involve multiple team members and require good software engineering and design.
- Respond to time-sensitive issues arising in large-scale training runs, and in ongoing research.
- Make systematic improvements to technical workflows and tooling used across pretraining.
- Apply engineering expertise to help researchers navigate technical challenges.
This requires both a deep understanding of the codebase and a broad understanding of the tech stack, the model architecture and data pipeline.
- Develop the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.
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Research Engineer, Gemini Large Scale Pretraining, DeepMind employer: 慨正橡扯
At 慨正橡扯, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of Behavioral Economics and Retirement Research. Our hybrid working model not only offers flexibility but also nurtures a vibrant work culture where employees are encouraged to grow and develop their skills through meaningful projects and leadership opportunities. Join us in Europe, where your expertise will directly contribute to enhancing investor outcomes and shaping impactful business strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Gemini Large Scale Pretraining, DeepMind
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 慨正橡扯 or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to 慨正橡扯.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like 慨正橡扯.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Research Engineer, Gemini Large Scale Pretraining, DeepMind
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 慨正橡扯.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 慨正橡扯 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 慨正橡扯
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 慨正橡扯 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
