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Est. Monthly
Estimated €13,965 - €18,886
Posted August 26, 2026 · 4 days agoLast seen August 27, 2026Est. expiry September 30, 2026

Machine Learning Engineer

Senior Staff Machine Learning Engineer
How this salary compares
Salary Context: Machine Learning Engineer

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Salary analysis

Compared with the selected benchmark ("Market Average: Senior Level"), this listing's salary midpoint is about 89% lower. The offer sits below the benchmark range (€10,413–€13,916). The offer's range width is broadly in line with the benchmark. This benchmark is based on 1 comparable listings.

Monthly salary comparison for Machine Learning Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Machine Learning Engineer€11,159/per month€16,639/per month€21,189/per month
About the role

The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLMs at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems. The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency optimization, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms. In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation.

Job Details

Responsibilities

  • Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
  • Build abstractions to automate various steps in different ML workflows
  • Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
  • Leverage your experience to drive best practices in ML and data engineering

Requirements

  • 10+ years of industry experience in Machine Learning, Infrastructure or related fields
  • Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
  • Experience with building and scaling end-to-end machine learning systems
  • Experience building scalable micro services and ETL pipelines
  • Expertise in Python and experience with performant language such as C++ or GoLang
  • Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
  • A love of research publications in the machine learning and software engineering communities
  • Effective communicator with experience collaborating cross-functionally with other teams

Skills & Technologies

PythonC++GoPyTorchHugging FacevLLMTensorRT-LLMETL pipelinesmicroservices

Education Level

Bachelor
Seen 2 days agoPartial Schema
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ServiceNow · 9 open roles
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