20 publicaciones de empleo destacadas de node en madrid, md (¡Están contratando!)

AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Doctorado
- Informática
- Inglés
DFT & Post-Silicon Validation
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Doctorado
- Informática
- Máster
Solicitud rápida
Data Transfer Engineer
Roche —Madrid, Madrid provincia
- Jornada completa
- Informática
- Inglés
- Grado
Cybersecurity Engineer for Network Security
Roche —Madrid, Madrid provincia
- Jornada completa
- Grado
- Gestión de conflictos
- Scripting
DevOps Engineer (worldwide remote, work anywhere)
Cloudlinux —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- Inglés
- SQL
- Abono gimnasio
Solicitud rápida
Ingeniero/a Centro Competencia Ciclo de Vida de Software
Repsol —Arganzuela-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- Bases de datos
- Seguro médico privado
- Plan de pensiones
6d
Desarrollador/a SFCC
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Sistemas ERP
- JavaScript
- Formación continua
- Seguro médico privado
Team Lead Engineering
Unleash —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Liderazgo
Technical Lead Java Angular, Madrid
CAS TRAINING —Madrid, Madrid provincia
- De 42.000 € a 54.000 € al año
- Inglés
- Java
- Bases de datos
14d
Senior Software Engineer (Full Stack), hibrido
atmen —Madrid, Madrid provincia
- Informática
- Inglés
- Oficina
9d
Developer GIS
NTT Ltd —Madrid, Madrid provincia
- Java
- JavaScript
- Desarrollo de software
Software Engineering Manager
Pluxee —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
C++ Software Engineer for Satellite Control Centers
GMV —Tres Cantos, Madrid provincia
- Trabajo híbrido
- Inglés
- Java
- C++
- Seguro dental
Systems Developer Engineer, Security Integrations Group
Amazon EU SARL (Spain Branch) —Madrid, Madrid provincia
- Jornada completa
- DevOps
- Sistema operativo Windows
- Java
Solutions Architecture Engineer - Media Systems
International Olympic Committee (IOC) —Madrid, Madrid provincia
- Jornada completa
- DevOps
- Inglés
- Java
- Vacaciones pagadas
- Teletrabajo opcional
Solutions Senior Architect (FDE)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- AWS
Lead Engineer - Copado Labs
Copado —Madrid, Madrid provincia
- Jornada completa
- Salesforce
- DevOps
- APIs
Solicitud rápida
AI/ML Specialist Solutions Architect
Nebius —Madrid, Madrid provincia
- DevOps
- Java
- C++
Solicitud rápida
Site Reliability Engineering (SRE)
Kairos Digital Solutions —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- AWS
- Seguro médico privado
Solutions Architecture Engineer- Media Systems
OBS & OCS —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- Inglés
- Java
- Vacaciones pagadas
- Teletrabajo opcional

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AI Research Engineer (Pre-training - LLM & Multi-Modal)

Tether Operations Limited
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

Derecho
Doctorado
Informática
Inglés
Máster
Grado
Machine learning
NLP
Escalabilidad
Relaciones Laborales
Inteligencia artificial
Debugging

Descripción completa del empleo

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.

Responsibilities

Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.

A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

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Refina tu búsqueda

node empleos en madrid, md

AI Research Engineer (Pre-training - LLM & Multi-Modal)

DFT & Post-Silicon Validation

Data Transfer Engineer

Cybersecurity Engineer for Network Security

DevOps Engineer (worldwide remote, work anywhere)

Ingeniero/a Centro Competencia Ciclo de Vida de Software

Desarrollador/a SFCC

Team Lead Engineering

Technical Lead Java Angular, Madrid

Senior Software Engineer (Full Stack), hibrido

Developer GIS

Software Engineering Manager

C++ Software Engineer for Satellite Control Centers

Systems Developer Engineer, Security Integrations Group

Solutions Architecture Engineer - Media Systems

Solutions Senior Architect (FDE)

Lead Engineer - Copado Labs

AI/ML Specialist Solutions Architect

Site Reliability Engineering (SRE)

Solutions Architecture Engineer- Media Systems

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