Multiverse Computing

Research AI Director

Fecha de publicación: 30 June 2026

Investigación y Laboratorio

¿Qué buscamos?
The 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.

This 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.

Key Responsibilities

Strategic AI Research Leadership

Define 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.
Partner closely with the CSO to translate scientific vision into concrete, deliverable research programmes with measurable milestones.
Identify emerging trends in LLMs, multimodal AI, and efficient inference, and position Multiverse at the frontier of applied AI research.
Represent Multiverse Computing at top-tier international conferences (NeurIPS, ICML, ACL, ICLR) and scientific advisory forums.

Team Leadership & People Management

Lead, 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.
Set clear performance expectations, conduct rigorous reviews, and support the professional development and career growth of team members at all levels.
Recruit and retain world-class AI talent across both academic and industry profiles, working with HR and the CSO to build a compelling research environment.
Coach team leads and senior researchers, fostering technical depth alongside engineering rigour.

LLM Development & Research Delivery

Own the end-to-end LLM development lifecycle: pretraining, fine-tuning, alignment (RLHF/DPO), evaluation, and production deployment — bridging research prototypes to scalable systems.
Oversee the planning and execution of concurrent AI research projects, ensuring high scientific quality, reproducibility, and on-time delivery.
Establish robust KPIs, publication targets, and reporting frameworks to track research progress, model performance, IP generation, and product handoffs.
Ensure seamless knowledge transfer between research and product/engineering teams, translating scientific breakthroughs into deployable technology.

Cross-functional & External Collaboration

Collaborate with Product, Engineering, and Business Development to ensure AI research outputs are commercially relevant and technically integrable.
Build and maintain relationships with leading academic institutions, national laboratories, and AI research consortia.
Manage external collaborations including university partnerships, EU-funded research projects, and industrial consortia.
Support pre-sales and strategic customer engagements by articulating AI research capabilities and roadmap to both technical and executive audiences.
Contribute to grant applications, scientific publications, patents, and white papers that reinforce Multiverse’s intellectual leadership.
Zer bilatzen dugu?
Ikerketa zuzendaria lidergo zientifikoko goi kargu bat da, Multiverse Computing-en AI ikerketa-estrategia osatzeaz eta gauzatzeaz arduratzen dena. Arduradun Zientifiko Nagusiari zuzenean jakinaraziz, IAren ikerketa erakunde bat gidatuko duzu, kalitate handikoa eta diziplina anitzekoa, lehen mailako LLM eta AIren garapena bultzatuko duzu ikerketatik produkziora, eta arlo akademiko eta industrialeko onena zubiko duzu mugimendu azkarreko ingurune sakonean.

Paper honek konbinazio arraroa eskatzen du: hizkuntza-ereduen garapen handiaren gaineko ezagutza sakona, argitalpen akademikoen erregistro sendoa, AIren ingeniaritza taldeen kudeaketa eta eskalatze frogatua, bai ikerketan, bai esparru komertzialean, eta punta-puntako zientzia mundu mailako produktuen inpaktuarekin lerrokatzeko ikuspegi estrategikoa. Funtsezko ahotsa izango zara konpainiako AI zuzendaritzan eta konfiantzazko kidea CSOn.

Funtsezko erantzukizunak

IAren ikerketaren lidergo estrategikoa

Urte anitzeko IAren ikerketa-ibilbide-orria, oinarri-ereduak, eredu-konpresioa, lerrokatzea eta aplikatua definitzea eta bere egitea, enpresaren estrategiarekin eta produktuaren lehentasunekin bat datorrela bermatuz.
CSOren lankidetza estua ikuspegi zientifikoa ikerketa-programa zehatz eta entregagarrietara eramateko, mugarri neurgarriekin.
LMetan, AI multimodalean eta inferentzia eraginkorrean sortzen ari diren joerak identifikatzea, eta Multiverse ikerketa aplikatuaren mugan kokatzea.
Multiverse Computing ordezkatzea lehen mailako nazioarteko biltzarretan (NeurIPS, ICML, ACL, ICLR) eta aholkularitza zientifikoko foroetan.

Taldeko lidergoa eta pertsonen zuzendaritza

Ikertzaile, ML ingeniari, software-ingeniari eta zientzialari aplikatuen IAko ikerketa-erakunde bat zuzendu, orientatu eta eskalatu, bikaintasun zientifikoaren, lankidetzaren eta jabetzaren kultura mantenduz.
Errendimendu-itxaropen argiak ezartzea, berrikuspen zorrotzak egitea eta taldeko kideen garapen profesionala eta hazkunde profesionala maila guztietan babestea.
Lehen mailako IAren talentua bildu eta mantentzea profil akademikoetan zein industrialetan, Giza Baliabideekin eta CSOrekin lan eginez ikerketa ingurune sendo bat eraikitzeko.
Entrenatzaile taldea buru eta ikertzaile nagusi, sakontasun teknikoa sustatzen, ingeniaritzaren zorroztasunarekin batera.

LLM Development & Research Delivery

LLMren garapenerako bizi-zikloaren jabe izatea: harrotzea, fintzea, lerrokatzea (RLHF/DPO), ebaluazioa, eta ekoizpena hedatzea — ikerketa-prototipoak sistema eskalagarrietara mugitzea.
IAren ikerketa-proiektu konkurrenteen plangintza eta exekuzioa gainbegiratzea, kalitate zientifiko handia, erreproduzigarritasuna eta unean uneko entrega bermatuz.
KPI sendoak, argitalpen-helburuak eta esparru informatiboak ezartzea, ikerketa-aurrerapenen, ereduen errendimenduaren, IPen sorreraren eta produktuen bidalketen jarraipena egiteko.
Ikerketa eta produktu/ingeniaritza taldeen arteko ezagutza pitzadurarik gabe transferitzea bermatzea, aurrerapen zientifikoak teknologia eztabaidaezin bihurtuz.

Funtzioen arteko eta kanpoko lankidetza

Produktu, Ingeniaritza eta Negozio Garapenarekin lankidetzan aritzea, IAren ikerketa-irteerak komertzialki garrantzitsuak eta teknikoki integragarriak direla bermatzeko.
Erakunde akademiko nagusiekin, laborategi nazionalekin eta IAko ikerketa-partzuergoekin harremanak sortzea eta mantentzea.
Kanpoko lankidetzak kudeatzea, unibertsitate-elkarteak, EBk finantzatutako ikerketa-proiektuak eta industria-partzuergoak barne.
Salmenten aurreko kontratazioak eta bezero estrategikoen kontratazioak babestea, IAren ikerketa-gaitasunak eta ibilbide-orria antolatuz, bai publiko teknikoari bai exekutiboari.
Multiversen lidergo intelektuala indartzen duten eskaerak, argitalpen zientifikoak, patenteak eta paper zuriak ematen laguntzea.

¿Qué te ofrecemos?
Indefinite contract
Equal pay guaranteed.
Variable performance bonus.
Signing bonus.
We offer work visa sponsorship (If applicable).
Relocation package (if applicable).
Private health insurance.
Eligibility for educational budget according to internal policy.
Hybrid opportunity.
Flexible working hours.
Language classes and discounted lunch options
Working in a high paced environment, working on cutting edge technologies.
Career plan. Opportunity to learn and teach.

Formación academica
PhD 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).

Formación específica
-

Nivel de idiomas requerido: Ingles y castellano

Experiencia en funciones similares: Más de 3 años

Competencias:
8+ years of post-doctoral or industry research experience, with at least 2 years in a senior AI research leadership or management role. Deep, proven expertise in large language model (LLM) development: pretraining, fine-tuning. Demonstrated track record of managing and scaling AI research or engineering teams in both academic and commercial/industrial environments. Experience spanning both academia and industry: ability to operate with academic rigour (publications, reproducibility, peer review) and industrial discipline (delivery timelines, product integration, stakeholder communication). Hands-on experience with distributed training infrastructure: multi-GPU/multi-node clusters, frameworks such as Megatron-LM, DeepSpeed, or FSDP, and performance profiling at scale. Strong strategic thinking with the ability to set direction, prioritise across competing initiatives, and communicate complex research to non-specialist audiences. Excellent interpersonal and stakeholder management skills — credible with both world-class scientists and C-suite executives. Familiarity with quantum computing, tensor networks, or quantum-inspired optimisation methods — valuable given Multiverse’s quantum heritage, but not a barrier to entry. RLHF/DPO alignment, evaluation, and deployment at scale. Track record of securing competitive research funding (EU Horizon, national grants, or equivalent programmes). Background advising enterprise clients on AI research strategy or roadmap.

Research AI Director

Ikerketako IAko zuzendaria

Investigación y Laboratorio

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