Research Lead
Research Lead
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Salary Not Disclosed
1 Vacancy
Job Description
About ThreatMark
ThreatMark protects >50M end users from finacial fraud and saves > $100M every year in losses. We are working with top banks in EU and US to protect their end users.
We develop large-behavioral models that recognizes returning users by their mouse movements keystroke timings and sensoric data (accelerometer gyroscope). We detect cyberthreats (e.g. malware phishing scraping) by exploiting browsers/sandboxes of devices. We manage PB scale of data and provide real-time scoring in milliseconds driving authentication/authorization flow (2nd factor).
The Mission
As a Research Lead at ThreatMark your mission is to lead a team of world-class ML engineers and security researchers as well as supporting roles (data analyst data engineer) to create impactful technology.
Your responsibility will be to align research with product goals and manage the experiments to ensure that they are focused on business outcomes.
You will help designing hypotheses and experiments that shall be executed. You will navigate the intricate trade-offs of investment and impact having feel for diminishing returns choosing when to go with fast iterations of experiments and when to perform a longer research.
You will interact with engineers that will then make the researched technology part of product in a scalable and performant way.
Your insights will shape the roadmap and technical strategy of the product.
General
Seniority: 5 years of experience in applied ML with at least 2 years in a leadership role
Employment Type: Employee or Contractor
Schedule: Full-time
Work Arrangement: Full remote possible with availability for in-person gatherings collaboration sessions as well as team-buildings
Responsibilities
You will:
Lead and mentor the research team to grow the talent with a focus on ownership and impact
Clearly express research initiatives based on business needs translate to teams priorities
Drive a culture of rigor in experimentation measurement and statistical evaluation
Continuously improve the research process (tracking datasets experiments and results)
Prioritize and manage the research roadmap
Manage ongoing research initiatives (push for next horizon verify next hypothesis)
Support collaboration between research and engineering teams that use the models
Represent research progress findings and insights in leadership meetings and strategic reviews
Track & stay ahead of changes in ML and cybersecurity threats and bring innovation
Employment Type
Full-Time
