Principal Data Scientist

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Join Gen: Empowering Digital Freedom through Innovation

Gen is a leading global company dedicated to providing Digital Freedom through renowned consumer brands such as Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our legacy is built on protecting the digital lives of over 500 million users in 150 countries, ensuring they live safely, privately, and confidently both today and for future generations.

Why Gen?

At Gen, we are constantly seeking smart, fearless, and dedicated individuals to join our team. Our combined passion and vision power Digital Freedom, helping consumers take control of their digital lives through advanced technology solutions in cybersecurity, privacy, and identity protection.

Work Culture and Benefits

Joining Gen means accessing a range of resources designed to help you excel and enjoy your life. Our benefits include:

  • Flexible working options
  • Generous time off policies
  • Competitive benefits and compensation packages

Diversity and Inclusion

Diversity is the cornerstone of our business. We believe the best ideas and outcomes stem from diverse perspectives and experiences. At Gen, we strive to create a safe, inclusive environment where you can bring your entire self to work. Our team members are valued, respected, and celebrated for who they are, fostering a meaningful and exciting atmosphere.

About The Role: Principal Data Scientist

We are expanding our Artificial Intelligence Team and are looking for a Principal Data Scientist with a strong engineering background. You will join a top-tier research and innovation team developing cutting-edge models for security, privacy, and identity applications. These models will be integrated into our engines and cloud-based intelligence platform, serving millions of devices globally.

About The Team

Our team of ambitious data scientists and AI enthusiasts, including graduates from top institutions like UC Berkeley, Stanford, and MIT, collaborates across our US and European offices. We leverage artificial intelligence, including large language models, to enhance user safety in the digital space.

Are you passionate about AI? Ready to tackle adversaries aiming to evade you at every turn? Join us to solve the next generation of user safety challenges!

Key Responsibilities

  • Design, develop, and evaluate in-house learning frameworks for a distributed computing cluster
  • Train and evaluate ML and LLM models on petabyte-scale data
  • Conduct cutting-edge research to identify malicious patterns in large datasets

Qualifications

  • MSc degree in Computer Science, Machine Learning, or related field, or equivalent industry experience
  • Experience with multi-threaded and multi-process computing environments
  • Passion for learning and pushing the boundaries of technology
  • Fluent in English

Preferred Skills

  • Experience with industrial-grade languages, Matlab, and Python
  • Familiarity with Linux, Bash, GIT, Docker, and continuous integration
  • Knowledge of TensorFlow, Torch, Kubernetes, and Hadoop
  • Experience in security ML deployments
  • Strong communication, presentation, and data visualization skills

What We Offer

  • Annual bonus scheme
  • Unlimited PTO, flexible working hours, and home office options
  • Opportunities to work with global leaders in Digital Security
  • Cafeteria points for meal plans, pension insurance, travel, leisure activities, multisport card, and more
  • Tuition reimbursement for job-related courses
  • Learning and Development plans
  • Sustainable home improvement bonus
  • Mac/Windows laptop and mobile phone

Equal Opportunity Employer

Gen is committed to creating an inclusive and accessible environment for all employees. We base employment decisions on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, marital status, sexual orientation, gender identity, military or veteran status, or any other protected characteristic. Learn more about our pay transparency and anti-discrimination policies.

How to Apply

If you're ready