Senior ML Engineer - Agentic Search, Remote

pofft Technology Inc.; Amsterdam; Remote; EUR 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Work on impactful AI projects

International environment and talented

Job summary

Nebyus is seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems. You will train and deploy models for retrieval, ranking, and indexing at scale, enabling real-time access to fresh information.

You will work on data selection, crawling, and content understanding, and help maintain end-to-end training pipelines, experiment tracking, and model lifecycle in production. This role offers a remote arrangement with international collaboration.

Qualifications

• 5+ years of experience in software engineering or applied machine learning.
• Strong programming skills in Python and at least one of Go or C++.
• Proven experience deploying ML models in production systems.
• Solid understanding of machine learning and modern deep learning, including transformers and embeddings.
• Experience building data or ML pipelines and working with workflow orchestration.
• Ability to define meaningful model metrics and evaluate models rigorously.
• Product-oriented mindset with a focus on impact and iteration.

Responsibilities

• Train and deploy ML models for retrieval, reranking, and search relevance, such as embedding models and cross-encoders, in production
• Develop models supporting crawling, data selection, and content understanding
• Build and maintain the data, training and evaluation pipelines behind our models: training-data generation, evaluation sets and retraining
• Contribute to and improve our ML platform: training and orchestration workflows (Kubernetes, GPU scheduling, experiment tracking, model lifecycle) and inference optimisation for low-latency serving
• Work closely with engineering to integrate and deploy ML models in production services, balancing latency, quality and cost
• Apply the latest architectural advances and training procedures for retrieval and LLM-integrated systems

Skills

Python

Go

C++

ML in production

Data pipelines

Model evaluation

Transformers

Product mindset

Tools

Kubernetes

GPU scheduling

Experiment tracking

Model lifecycle

Job description

Nebyus is seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems. You will train and deploy models for retrieval, ranking, and indexing at scale, enabling real-time access to fresh information.

You will work on data selection, crawling, and content understanding, and help maintain end-to-end training pipelines, experiment tracking, and model lifecycle in production. This role offers a remote arrangement with international collaboration.