Senior Data Scientist (GenAI)

TL;DR

Senior Data Scientist (GenAI): Building and optimizing next-generation AI assistants powered by large language models (LLMs) with an accent on GenAI agents/LLMs, LLM applications, model architectures, training, and deployment strategies. Focus on leading groundbreaking developments in AI assistants, shaping technical vision, mentoring team members, making high-impact decisions, and solving complex technical challenges at scale in the cybersecurity space.

Location: Remote from Spain

Company

hirify.global is a global leader in cybersecurity, specializing in 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.
• 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.
• Mentor and guide Data Scientists while fostering a culture of engineering excellence.
• 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.
• 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.

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

• 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.