Senior ML Engineer - Lead Scaled Language Models

Prosus

Amsterdam

Hybrid

EUR 120,000 - 170,000

Full time

10 days ago

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Benefits offered by this job

Hybrid work model
MacBook Pro
Competitive compensation

Job summary

Prosus is seeking a Senior Machine Learning Engineer to train domain-specific language models and provide technical leadership. You will own critical training infrastructure, mentor engineers, and drive decisions from data prep to production deployment.

You thrive on hands-on model training at scale and delivering impact for millions of users. You will lead experiments, optimize training and inference through distribution frameworks, and shape model architectures and data strategies in a

Qualifications

  • 7+ years of ML engineering experience.
  • Technical leadership: mentoring engineers, code reviews, architecture decisions.
  • Proven experience training and deploying language models to production at scale.
  • Experience preparing large-scale training datasets and data curation strategies.
  • Hands-on experience with distributed training frameworks and multi-node orchestration.
  • Strong understanding of training dynamics, learning rate schedules and stability.
  • Expert Python and PyTorch with production experience using Transformers, DeepSpeed, Accelerate.

Responsibilities

  • Analyze model performance and training data to guide experiments and improve quality and efficiency.
  • Lead architecture decisions for model training strategies and infrastructure.
  • Provide mentorship, conduct code reviews, and share best practices across the team.
  • Train large language models through pre-training and fine-tuning on proprietary datasets.
  • Build and optimize distributed training infrastructure across multi-node GPU clusters.

Skills

ML engineering
Technical leadership
Python
PyTorch
Experimentation
Mentoring engineers
Code reviews

Tools

DeepSpeed
FSDP
Megatron-LM
Axolotl
Transformers
DeepSpeed
Accelerate
vLLM
TensorRT-LLM

Job description

Prosus is seeking a Senior Machine Learning Engineer to train domain-specific language models and provide technical leadership. You will own critical training infrastructure, mentor engineers, and drive decisions from data prep to production deployment.

You thrive on hands-on model training at scale and delivering impact for millions of users. You will lead experiments, optimize training and inference through distribution frameworks, and shape model architectures and data strategies in a

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