Research Lead

2 days ago

Hlinky Brno Czechia, Czech Republic ThreatMark Full time 120,000 - 180,000 per year

About ThreatMarkThreatMark 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 MissionAs 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.GeneralSeniority: 5+ years of experience in applied ML, with at least 2 years in a leadership roleEmployment Type: Employee or ContractorSchedule: Full-timeWork Arrangement: Full remote possible, with availability for in-person gatherings, collaboration sessions as well as team-buildingsResponsibilitiesYou will:Lead and mentor the research team to grow the talent with a focus on ownership and impactClearly express research initiatives based on business needs, translate to team's prioritiesDrive a culture of rigor in experimentation, measurement, and statistical evaluationContinuously improve the research process (tracking datasets, experiments and results)Prioritize and manage the research roadmapManage ongoing research initiatives (push for next horizon, verify next hypothesis…)Support collaboration between research and engineering teams that use the modelsRepresent research progress, findings, and insights in leadership meetings and strategic reviewsTrack & stay ahead of changes in ML and cybersecurity threats, and bring innovationParticipate directly on the ML tasks - do code reviews, design experiments, train and evaluate models, write source code

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