TL;DR

Manager, Data Science (AI): Leading the research strategy and development of next-generation AI assistants powered by large language models (LLMs) in the cybersecurity space, with an accent on driving innovation in LLM applications like reasoning, summarisation, and interactivity. Focus on making strategic decisions about GenAI model architectures, training, and deployment at scale, while mentoring a team of data scientists.

Location: Remote from Spain

Company

%hirify_global% is a global leader in cybersecurity, protecting organizations with its advanced AI-native platform.

What you will do

Lead and architect the research strategy for new GenAI agents/LLMs, setting the technical direction for the team.
Recruit, lead, and mentor a team of top-tier data scientists engaged in professional fields like ML and LLMs.
Drive innovation in LLM applications, including novel approaches to reasoning, summarisation, and interactivity.
Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies.
Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals.
Represent %hirify_global%'s technical excellence through publications, speaking engagements, and thought leadership.

Requirements

Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field.
8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models.
Proven track record of leading Data Science teams.
Deep expertise in LLM training / deployment at scale.
Strong technical leadership experience, including mentoring teams and driving technical strategy.
Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies.
Expert-level understanding of GPU technologies and optimisation techniques.
Outstanding communication skills with ability to influence senior stakeholders.

Nice to have

Patents or significant intellectual property contributions in AI.
Strong research portfolio with publications in leading AI journals and conferences.
Experience with cybersecurity applications of machine learning.
Track record of successful research-to-production implementations at scale.
History of contributions to open-source ML projects.

Culture & Benefits

Remote-friendly and flexible work culture.
Market leader in compensation and equity awards.
Comprehensive physical and mental wellness programs.
Competitive vacation and holidays for recharge.
Paid parental and adoption leaves.
Professional development opportunities for all employees.
Employee Networks, geographic neighborhood groups, and volunteer opportunities.
Vibrant office culture with world class amenities.
Great Place to Work Certified™.