Senior ML Engineer (Token Factory)

Nebiussenior

En corto

→Ingeniero ML senior que construye plataformas de entrenamiento e inferencia a gran escala en GPU.
→Día a día: optimiza modelos LLM, prueba métodos de fine-tuning y mejora el rendimiento con JAX y arquitecturas avanzadas.
→Lo destacado: trabajas en una de las mayores infraestructuras de GPU del mundo, con acceso a modelos de vanguardia y hardware de última generación.

Proficiency in English is required

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓Entendimiento profundo de ML y RL teóricos
✓Experiencia en entrenamiento de modelos grandes en múltiples nodos
✓Dominio de frameworks modernos como JAX
✓Habilidades sólidas en ingeniería de software (Python)
✓Conocimiento de estrategias de sharding y optimización de hardware
✓Capacidad de comunicación y liderazgo efectivo

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

JAXPythonCI/CDversion controlunit testingGPU orchestrationinference optimizationLoRAfull-parameter fine-tuningFP8

¿A quién escribirle en Nebius?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale. Some directions we currently working on and which you can be a part of: • Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency. • Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation. • Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware We expect you to have: • A profound understanding of theoretical foundations of machine learning and reinforcement learning. • Deep expertise in modern deep learning for language processing and generation • Experience with training large models on multiple computational nodes • Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.) • Strong software engineering skills (we mostly use Python) • Deep experience with modern deep learning frameworks (we use JAX) • Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing • Strong communication and leadership abilities Nice to have: <ul class="ak-ul" data-inden

¿Buscando algo parecido?

Dejá tu email y te avisamos cuando salgan vacantes que coincidan con tu perfil.

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.