At a Glance
- Tasks: Apply research ideas to real-world problems and develop cutting-edge techniques in Generative Media.
- Company: Join Google DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Flexible working locations, 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 real impact in AI development while collaborating with top researchers globally.
- Qualifications: Master's degree in relevant fields and experience with ML frameworks like TensorFlow or PyTorch.
The predicted salary is between 63000 - 77000 £ per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
London, UK; Zürich, Switzerland
Minimum qualifications
- Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.
- Experience of Tensor Flow or ML frameworks (e. g. JAX or Py Torch).
- Experience working in industry, working on projects from proof-of-concept through to implementation.
- Experience with training diffusion models.
- Experience conducting applied research.
Preferred qualifications
- Experience in inference optimization.
- Experience with data pipelines.
- Experience with training large-scale models.
- Cross-functional collaboration experience.
- Knowledge of machine learning, statistics, and diffusion model theories.
About the job
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 Google 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 varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Apply research ideas to high-impact real world problems through prototyping, dataset curation, model training, performance optimization, and deployment.
- Develop cutting-edge techniques in Generative Media (image, video, and audio).
- Optimize algorithms and models for efficient inference.
- Advance capabilities in Multimodal Understanding.
- Perform comprehensive model optimization to enhance performance and scale.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Research Engineer, Gemini Omni, DeepMind in London employer: WeAreTechWomen
Goldman Sachs is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration among over 2,000 engineers. With a strong commitment to diversity and inclusion, employees benefit from extensive training and development opportunities, competitive wellness programs, and a culture that values personal and professional growth. The role of Software Engineer - Vice President not only provides the chance to lead transformative projects but also to work closely with traders and senior leadership, making a significant impact on the firm's strategic goals.
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We think this is how you could land Research Engineer, Gemini Omni, DeepMind in London
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We think you need these skills to ace Research Engineer, Gemini Omni, DeepMind in London
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 WeAreTechWomen.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeAreTechWomen 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!
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How to prepare for a job interview at WeAreTechWomen
✨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 WeAreTechWomen 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.
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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.
