Posted:
7/25/2024, 5:00:00 PM
Location(s):
Prague, Czechia ⋅ Capital City of Prague, Prague, Czechia ⋅ Brno, South Moravian Region, Czechia ⋅ Prague, Prague, Czechia ⋅ South Moravian Region, Czechia
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives.
When you’re a part of Gen, you are provided access to a range of resources and support to ensure you can do your best work and live your best life. This includes flexible working options with generous time off and competitive benefits & compensation packages.
Diversity is foundational to how we do business because we know the greatest ideas and results come from our unique perspectives and differences. We strive to create a safe, inclusive environment where you can bring your whole self to work. Team members are valued, respected, and celebrated for who they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer. Employment decisions are based on merit, experience, and business needs.
If this sounds like you—Gen has a dynamic, supportive culture with core values that celebrate diversity, promote teamwork, and encourage every team member to contribute and grow—join us!
About The Role:
For our growing Artificial Intelligence Team, we are looking for ML/LLM Researcher with a strong engineering background. You will be part of a top-notch research and innovation team developing cutting-edge models for security, privacy and identity applications. The resulting models will be part of our engines deployed to millions of devices, and the intelligence platform in the cloud.
About The Team:
We grow our team of ambitious data scientists/enthusiasts utilizing artificial intelligence including large language models to enhance user safety on devices and in the digital space on the internet. Our teams of researchers hail from the top universities including UC Berkeley, Stanford, MIT, Charles U, Czech TU and collaborate globally in our US and European offices.
If you are excited about artificial intelligence and want to pit your skills against a true adversary who wants to evade you at all costs, then come work with us to solve the next generation of user safety challenges.
What You’ll Do In This Role:
Design, develop and evaluate in-house learning frameworks to run on a massively distributed computing cluster.
Train and thoroughly evaluate ML models and LLM models on peta-byte scale data.
Participate at cutting-edge research on identifying malicious patterns in huge datasets.
What You’ll Need To Be Successful In This Role:
MSc degree in Computer Science, Machine Learning or similar, alternatively a comparable industry career with a proven track record of successful projects.
Experience with multi-threaded and multi-process computing environments and correct Software Engineering practices.
Enthusiasm, analytical mind, willingness to learn and desire to push the boundaries of what is possible.
Fluent English.
Nice to Have:
large software project experience using industrial grade language, alternatively Matlab and Python experience, including experience with data analysis libraries such as scikit-learn, functional language experience a plus.
Hands-on experience with Linux, Bash, GIT, Docker, continuous integration, package deployment and dependency management.
Hands-on experience with TensorFlow, Torch, Kubernetes, Hadoop or similar systems.
Hands-on experience with security ML deployments a plus.
Python language experience.
Communication, presentation, and visualization skills.
What We Can Offer:
Annual bonus scheme
Unlimited PTO (paid time off), flexible working hours & home office.
The chance to join a major global tech company listed on the S&P 500.
Opportunity to learn and work with the best in the Digital Security industry
Cafeteria points are provided by Benefit Plus (meal plan, pension insurance, travel, free time activities, multisport card, and much more).
Tuition reimbursement for job-related courses
Learning & Development plan.
Sustainable home improvement bonus
Mac/Windows laptop and mobile phone
Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds.
We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency.
Gen complies with all anti-discrimination laws.
To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Website: https://www.nortonlifelock.com/
Headquarter Location: Tempe, Arizona, United States
Employee Count: 1001-5000
Year Founded: 1982
IPO Status: Delisted
Last Funding Type: Post-IPO Secondary
Industries: Computer ⋅ Cyber Security ⋅ Information Technology ⋅ Security ⋅ Software