Applied GenAI Research Scientist

Applied GenAI Research Scientist

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
CrowdStrike

At a Glance

  • Tasks: Lead innovative AI research to enhance cybersecurity using large language models.
  • Company: Join CrowdStrike, a leader in cybersecurity and AI innovation.
  • Benefits: Access to vast datasets, GPU infrastructure, and opportunities for publication.
  • Other info: Dynamic team environment with opportunities for professional growth.
  • Why this job: Make a real-world impact in cybersecurity while driving AI advancements.
  • Qualifications: Strong background in AI research and technical leadership skills.

The predicted salary is between 63000 - 77000 £ per year.

Crowd Strike is seeking an Applied Researcher to join our team building next-generation AI that stops breaches, powered by large language models and deep learning.

You will provide technical leadership and strategic direction while driving innovation in AI capabilities.

As part of our team, you'll access vast proprietary datasets, substantial GPU infrastructure, and opportunities to publish while delivering real-world cybersecurity impact at scale.

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Applied GenAI Research Scientist employer: CrowdStrike

CrowdStrike is an exceptional employer that fosters a vibrant and innovative work culture, making it an ideal place for Senior Data Platform Engineers to thrive. With a strong emphasis on employee growth and development, the company offers numerous benefits and opportunities to work on cutting-edge technologies in a mission-driven environment located in the UK. Joining CrowdStrike means being part of a team that values creativity and collaboration while contributing to impactful projects.

CrowdStrike

Contact Details:

CrowdStrike Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied GenAI Research Scientist

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Apply Directly through Our Website

When you find a suitable opening like Applied GenAI Research Scientist at CrowdStrike, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Applied GenAI Research Scientist

Technical Leadership
Strategic Direction
Innovation in AI Capabilities
Large Language Models
Deep Learning
Data Analysis
Cybersecurity Knowledge

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!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CrowdStrike. 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 CrowdStrike

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!

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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 CrowdStrike!

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.