Sr. Data Scientist II, GenAI (Romania, Bucharest)
Bucharest, Romania
- Remote-first
- Website
- @CrowdStrike 𝕏
- Search
CrowdStrike
CrowdStrike is a global cybersecurity leader with an advanced cloud-native platform for protecting endpoints, cloud workloads, identities and data.As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate an inclusive culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
CrowdStrike is seeking a Senior Data Scientist II to join our team building the next generation of AI assistants powered by large language models (LLMs). In this role, you will collaborate with other scientists, software engineers and product managers to implement and enhance our AI capabilities. You will contribute to the technical direction, lead specific project workstreams, and help drive innovation in our AI solutions. You will contribute to technical direction, lead specific project workstreams, and help drive innovation in our AI solutions. This role offers significant opportunity for growth and impact in applying cutting-edge AI technology to cybersecurity challenges.
What You’ll Do:
Architect and implement sophisticated LLM solutions, with deep focus on advanced techniques in reasoning, summarization, and interactive capabilities
Design and optimize complex neural architectures for specific use cases
Lead technical implementation of GenAI projects and provide guidance to team members
Develop novel approaches to model training, fine-tuning, and deployment optimization
Collaborate with cross-functional teams to translate business requirements into technical solutions
Contribute to establishing best practices and evaluation frameworks for AI models / systems
Present technical findings and recommendations to leadership and stakeholders
Conduct advanced research into emerging AI technologies and their practical applications
Author technical documentation and share knowledge through internal workshops
What You’ll Need:
Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
6-8 years of applied machine learning / research experience, with focus on developing production-grade models
Deep theoretical and practical knowledge of modern LLM architectures (Transformer-based models, attention mechanisms, etc.)
Proven experience leading technical projects and mentoring junior team members
Advanced knowledge of Python, Deep Learning frameworks, and distributed computing
Excellent communication skills and ability to work effectively with cross-functional teams
Demonstrated ability to balance research innovations with practical implementation
Bonus if You Have:
Research portfolio with publications in leading AI journals and conferences
Experience with cybersecurity applications of machine learning
Contributions to research papers or technical publications
Experience with large-scale ML systems in production
Active participation in open-source ML projects
Track record of successful end-to-end ML project delivery
#LI-AR1
#LI-BP
Benefits of Working at CrowdStrike:
Remote-friendly and flexible work culture
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Deep Learning Generative AI LLMs Machine Learning Model training Open Source PhD Python Research Security
Perks/benefits: Career development Competitive pay Conferences Equity / stock options Flex hours Flex vacation Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.