Staff Machine Learning Engineer (AI Platform)

Smartly

Hybrid

Quick summary

Work type
Hybrid
Location
Helsinki, Finland
Posted
68 days ago
Nearby
3 roles within 25 mi

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How this pay compares to similar roles

Similar $214k
$161k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $177,762–$249,750.

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About Smartly

Smartly (formerly Smartly.io) is a leading AI-powered advertising technology company that unifies creative production, media buying, and campaign intelligence into a single, automated platform

Smartly currently has 5 open roles on FindRole.

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TL;DR · Staff Machine Learning Engineer (AI Platform)

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Join the AI Platform Team at Smartly as a Staff Machine Learning Engineer, where you will build and deploy high-impact ML-based solutions to enhance advertising experiences for marketers. You’ll work on complex datasets including images, video, audio, text, and performance data, driving technical architecture evolution while coaching and mentoring junior engineers. Utilize modern frameworks like PyTorch and TensorFlow, alongside MLOps tools such as MLflow and Kubeflow, to productionize robust AI/ML applications. With a strong background in Python and cloud infrastructure (AWS or GCP), you will contribute to scalable data pipelines and maintain services under SLA, ensuring efficient and reliable solutions for hundreds of advertisers.

Skills

Python PyTorch TensorFlow AWS GCP MLflow Kubeflow Docker CI/CD MLOps PostgreSQL Kubernetes

What you'll do

  • Build ML-based software systems to enhance advertising experiences and campaigns.
  • Drive the technical architecture evolution for AI solutions in media and creative workflows.
  • Coach and mentor senior engineers on ML engineering practices and MLOps concepts.
  • Work with diverse datasets including image, video, audio, text, and structured performance data.
  • Contribute to the development of robust and efficient AI/ML applications using modern frameworks.

What we're looking for

  • 8+ years of experience developing and deploying production-quality software
  • 5+ years of experience delivering machine learning-powered software services
  • Hands-on experience with modern ML frameworks like PyTorch or TensorFlow
  • Experience in coaching and mentoring senior engineers
  • Strong foundation in linear algebra, statistics, and calculus
  • Knowledge of MLOps concepts and tools such as MLflow and Kubeflow
  • Fluent in Python; additional experience with C++ or Java is beneficial

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