Buscar empleo: 448 ofertas de trabajo de Educación en San Sebastián (agosto 2026)

Research AI Director

hace 5 días

San Sebastián

ph3About the Role /h3 pThe Research AI Director is a senior scientific leadership position responsible for shaping and executing Multiverse Computing's AI research strategy. Reporting directly to the Chief Scientific Officer, you will lead a high‑calibre, multidisciplinary AI research organisation, drive world‑class LLM and AI development from research through to production, and bridge the best of academia and industry within a fast‑moving deep‑tech environment. /p pThis role demands a rare combination: deep hands‑on expertise in large language model development, a strong academic publication record, proven success managing and scaling AI engineering teams in both research and commercial settings, and the strategic vision to align cutting‑edge science with real‑world product impact. You will be a key voice in the company’s AI direction and a trusted partner to the CSO. /p h3Key Responsibilities /h3 pbStrategic AI Research Leadership /b /p ul liDefine and own the multi‑year AI research roadmap, spanning foundation models, model compression, alignment, and applied AI ensuring alignment with company strategy and product priorities. /li liPartner closely with the CSO to translate scientific vision into concrete, deliverable research programmes with measurable milestones. /li liIdentify emerging trends in LLMs, multimodal AI, and efficient inference, and position Multiverse at the frontier of applied AI research. /li liRepresent Multiverse Computing at top‑tier international conferences (NeurIPS, ICML, ACL, ICLR) and scientific advisory forums. /li /ul pbTeam Leadership People Management /b /p ul liLead, mentor, and scale a diverse AI research organisation of researchers, ML engineers, software engineers, and applied scientists — maintaining a culture of scientific excellence, collaboration, and ownership. /li liSet clear performance expectations, conduct rigorous reviews, and support the professional development and career growth of team members at all levels. /li liRecruit and retain world‑class AI talent across both academic and industry profiles, working with HR and the CSO to build a compelling research environment. /li liCoach team leads and senior researchers, fostering technical depth alongside engineering rigour. /li /ul pbLLM Development Research Delivery /b /p ul liOwn the end‑to‑end LLM development lifecycle: pretraining, fine‑tuning, alignment (RLHF/DPO), evaluation, and production deployment — bridging research prototypes to scalable systems. /li liOversee the planning and execution of concurrent AI research projects, ensuring high scientific quality, reproducibility, and on‑time delivery. /li liEstablish robust KPIs, publication targets, and reporting frameworks to track research progress, model performance, IP generation, and product handoffs. /li liEnsure seamless knowledge transfer between research and product/engineering teams, translating scientific breakthroughs into deployable technology. /li /ul pbCross‑functional External Collaboration /b /p ul liCollaborate with Product, Engineering, and Business Development to ensure AI research outputs are commercially relevant and technically integrable. /li liBuild and maintain relationships with leading academic institutions, national laboratories, and AI research consortia. /li liManage external collaborations including university partnerships, EU‑funded research projects, and industrial consortia. /li liSupport pre‑sales and strategic customer engagements by articulating AI research capabilities and roadmap to both technical and executive audiences. /li liContribute to grant applications, scientific publications, patents, and white papers that reinforce Multiverse’s intellectual leadership. /li /ul h3Qualifications Experience /h3 ul liPhD in Computer Science, Machine Learning, Mathematics, or a closely related field, with a strong peer‑reviewed publication record in AI/ML at top venues (NeurIPS, ICML, ACL, ICLR, EMNLP, or equivalent). /li li8+ years of post‑doctoral or industry research experience, with at least 2 years in a senior AI research leadership or management role. /li liDeep, proven expertise in large language model (LLM) development: pretraining, fine‑tuning, RLHF/DPO alignment, evaluation, and deployment at scale. /li liDemonstrated track record of managing and scaling AI research or engineering teams in both academic and commercial/industrial environments. /li liExperience spanning both academia and industry: ability to operate with academic rigour (publications, reproducibility, peer review) and industrial discipline (delivery timelines, product integration, stakeholder communication). /li liHands‑on experience with distributed training infrastructure: multi‑GPU/multi‑node clusters, frameworks such as Megatron‑LM, DeepSpeed, or FSDP, and performance profiling at scale. /li liStrong strategic thinking with the ability to set direction, prioritise across competing initiatives, and communicate complex research to non‑specialist audiences. /li liExcellent interpersonal and stakeholder management skills — credible with both world‑class scientists and C‑suite executives. /li /ul h3Nice to Have /h3 ul liFamiliarity with quantum computing, tensor networks, or quantum‑inspired optimisation methods — valuable given Multiverse’s quantum heritage, but not a barrier to entry. /li liTrack record of securing competitive research funding (EU Horizon, national grants, or equivalent programmes). /li liBackground advising enterprise clients on AI research strategy or roadmap. /li /ul h3Perks Benefits /h3 ul liIndefinite contract /li liEqual pay guaranteed. /li liVariable performance bonus. /li liSigning bonus. /li liWe offer work visa sponsorship (If applicable). /li liRelocation package (if applicable). /li liPrivate health insurance. /li liEligibility for educational budget according to internal policy. /li liHybrid opportunity. /li liFlexible working hours. /li liLanguage classes and discounted lunch options /li liWorking in a high paced environment, working on cutting edge technologies. /li liCareer plan. Opportunity to learn and teach. /li /ul pAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. /p /p #J-18808-Ljbffr

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