At a Glance
- Tasks: Join a team to tackle real-world AI challenges and innovate with cutting-edge technology.
- Company: DeepMind, a pioneering AI lab focused on transformative solutions for global challenges.
- Benefits: Competitive salary, diverse learning opportunities, and a collaborative work environment.
- Other info: Dynamic projects with excellent career growth and a focus on safety and ethics.
- Why this job: Make a meaningful impact in AI development while contributing to the research community.
- Qualifications: Bachelor's degree in Computer Science and experience with Python-based ML libraries.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is collaborating with Google to connect them with exceptional professionals for this role.
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.
- #J-18808-Ljbffr
Research Engineer, Gemini Large Scale Pretraining, DeepMind in London employer: Limelight Health
At Limelight Health, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote-first company, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for those passionate about driving technological advancements in healthcare. Join us to be part of a forward-thinking team that values your expertise and encourages you to lead the way in AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Gemini Large Scale Pretraining, DeepMind in London
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We think you need these skills to ace Research Engineer, Gemini Large Scale Pretraining, DeepMind in London
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 Limelight Health, 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 Limelight Health. 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 Limelight Health
✨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 Limelight Health!
✨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.
