Description
Who we are?
HarfangLab is a cybersecurity scale-up, and we have developed an Endpoint Detection and Response (EDR) software to detect and mitigate modern cyberattacks on a company's workstations and servers. Our algorithms detect abnormal behaviors and generate security alerts or block program execution.
From 50 to 100 employees in 2023, HarfangLab is experiencing hypergrowth and has already achieved several significant milestones: winners of the Ministry of Defense's cyber challenge in 2019, recipients of the BPI's I-Nov competition in 2020, and software certified by ANSSI in 2021.
Our initial clients include CAC40 industrial companies and government entities. We completed our first funding round of €5 million in 2021 and our second funding round of €25 millions in 2023, which will enable us to strengthen our teams, and to expand internationally in Europe.
Our mission is to protect businesses and government agencies from modern cybersecurity threats (cybercrime, data theft, influence) that endanger the economic health of companies and the security of the nation.
You will work within the Artificial Intelligence team, consisting of 5 individuals, under the direct and daily supervision of the team lead. This team designs, implements, and deploys supervised algorithms for detecting malicious behaviour.
What you will do with us?
The missions of the AI team revolve around two main areas:
- Production: We already have algorithms in the product, significantly impacting the end user experience. To consistently deliver value, we must monitor them for prediction accuracy, propose continuous improvement, consider evolving contexts and threat states. Additionally, when an algorithm shows promise, facilitating its integration into the product in a usable format is essential.
- R&D: Working alongside expert cybersecurity teams, our research approach involves creating, implementing, and deploying models that address real-world challenges such as binary file classification, abnormal behavior detection, and more. It's a unique opportunity to advance machine learning methods in a domain rich with data, where all innovative ideas are welcomed!
About you
Hard Skills :
- Master’s degree in Computer Science or a related field with strong mathematical background,
- Proficient in python,
- You have proven experience deploying algorithms into production,
- You can implement an algorithm based on a research paper,
- Proficiency with LLM tools and concepts is a plus.
Soft Skills :
- Strong communication and teamwork skills,
- Excellent problem-solving and attention to detail,
- You enjoy learning and sharing your knowledge with others,
- You demonstrate initiative - when an opportunity arises to improve existing processes, you seize it.
What you can expect from your future manager and team?
We believe in end-to-end accountability for AI challenges: therefore, you will be tasked with taking ownership of projects from conception to production in a highly technical environment. However, autonomy does not mean isolation, and you will be able to rely on the technical expertise of other team members to support you on your initiatives and understand the purpose of our team: creating value in our product through AI methods.
About us
Our office and Team Life:
- Offices located in the heart of Paris, near Bourse (75002),
- High-quality equipment based on preferences and needs (PC, Mac, additional screens, etc.),
- Thanks to our Office Manager, we regularly organize events such as seminars, happy hours, themed evenings, and more,
- An onboarding process to welcome each new colleague with an explanation of the roles and a mentor to support you during your early days!"
- A great team that always seeks to improve their skills
And more:
- An attractive package: Base salary + profit sharing,
- Flexible remote work options,
- A mentor to guide you throughout your probationary period,
- Health insurance: The best health insurance with Alan and Moka Care, a mental health at work app,
- Meal vouchers: We use the Swile card and also have access to a discount platform through our works council,
- 7 to 11 additional days off (RTT) per year, in addition to the 25 days of paid vacation.
GymLib subscription, covered 80% by HarfangLab, - Access to training and events of your choice and according to your professional needs.
The recruitment process
- A 30-minutes call with Laura, our Talent Acquisition Manager,
- A 30-minutes visio interview with a team member,
- A take-home case study assignment,
- A 1 hour on-site interview + 30 minutes with the team for a team fit assessment,
- A final HR video appointment to review your soft skills and motivations.
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