About Us:
SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.
We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!
What Are We Looking For?
We are continuously expanding the capabilities of SentinelOne, actively listening to customers and responding to their needs. We are looking for a Staff-level AI / Machine Learning Researcher who will be directly involved in developing our core technology and ensuring we are always staying ahead of cybercriminals.
What Will You Do?
- You'll be part of a team of globally distributed AI engineers and researchers, focused on bringing the most recent advances in machine learning technology to help our customers efficiently discover and defeat threats. We're the team behind products such as PurpleAI (released for general availability in April 2024, see also the latest demo), awarded one of the Top10 hottest cyber products of 2023, and more!
- As a ML specialist on the team, you will ideate and create features that will help our engineering teams as well as support our customers by providing better visibility into the health of the endpoints in the field.
- You will collaborate across multiple engineering teams to design and build net new capabilities that will be used across SentinelOne’s industry-leading platform.
- As Staff-level engineer, you should be willing and able to inspire others and lead them technically.
- As we're extending our team by more new colleagues, your focus may be directed more to either Science side (take functional requirements in ML/AI from ideation to delivery) or Platform side (efficiently deliver models & science systems into production) - depending on your skills, experience & interests.
What Skills and Experience Will You Need?
- Master’s Degree in any quantitative science or engineering field. Additional or directly relevant experience will be considered in lieu of a degree
- 7+ years of experience solving complex problems using modern AI/ML techniques
- Experience in designing, training and evaluating models
- Experience with collecting, building, and tailoring large datasets for training machine learning models
- Comfort-level working cross-functionally across both research and product teams
Nice to Haves:
- Prior experience leading the development of generative models and their applications
- Experience in software engineering and with data structures
- Experience with endpoint security or OS concepts
- Experience with model parallelism for working with large neural network architectures
- First-author publications at peer-reviewed AI conferences
- Expertise in natural language processing, especially practical experience developing modern, transformer-based language models
- Experience developing complex applications leveraging API-based LLMs
Why us?
You will work on real-world problems and make an impact by protecting our customers from cyber threats. You will be joining a cutting-edge project and will be able to influence the architecture, design, and structure of our core platform. You will tackle extraordinary challenges and work with the very BEST in the industry.
What we offer you
Salary from 4500 EUR/month.
Yearly % bonus depending on the performance of the company, paid out in 2 installments.
*The final base salary component can be increased accordingly to individual skills and experience of the selected candidate.
On top of that you may look forward to:
- Flexible working hours & Full remote within Slovakia; optional membership in Regus co-working spaces; in Czechia we also have offices in Prague or Brno
- Generous employee stock plan in the form of RSUs (restricted stock units) not options; 4 years vesting with 1 year cliff and then quarterly
- Meal Allowance (maximum value of the employer’s contribution per day: €4.29)
- Wellbeing Allowance (€120/month)
- Flexible Time Off (on top of the standard 5 weeks of vacation)
- Flexible Paid Sick Days
- Fully Paid Short Term Sick/Short Term Nursing Leave
- Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
- Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
- Pension insurance contribution
- Premium Life Insurance covered by S1
- High-end MacBook or Windows laptop, Home-office-setup gear & on top of that additional WFH Allowance
- Udemy Business platform for Hard/Soft skills Training, internal mentoring 'MentorOne' & Support for your further educational activities/trainings
- Above-standard referral bonus
- Yearly bonus depending on the performance of the company
- Optional company events for those who like to meet outside of work too - mostly in Czechia expensed as business trip (sport, BBQ, charity etc.)
- DEI&B programs that promote employee resource groups like SentinelWIN (Women Inclusion Network), Blk@S1, Latinos@S1, Pan-Asian@S1, Out@S1 (LGBTQIA+) and Sentinels Who Served
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.