Senior Machine Learning Engineer, AI Platform

Smartly

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Helsinki, Uusimaa, Finland
Posted: 92 days ago
Freshness: Confirmed live yesterday
Nearby: 15 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $220k

$171k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $184,625–$254,750.

Based on 240 similar postings.

Employer

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 16 open roles on FindRole.

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At a glance

TL;DR · Senior Machine Learning Engineer, AI Platform

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Senior Machine Learning Engineer, AI Platform joins the AI Platform Team to develop machine learning software systems that enhance advertising experiences and campaigns. This role involves building solutions using diverse datasets including image, video, audio, text, and structured performance data while strengthening the company's MLOps and data platform. The engineer will collaborate with cross-functional teams to productionize applications, translate business needs into technical solutions, and stay current on innovations in generative AI, computer vision, natural language processing, and explainability. Required skills include proficiency in Python, experience with C++ or Java, and hands-on expertise with PyTorch or TensorFlow. Candidates should possess a strong foundation in linear algebra, statistics, and calculus, along with experience in feature engineering, model evaluation, and building scalable data pipelines on cloud infrastructure like AWS or GCP.

What does a Machine Learning Engineer earn?

Median $236000 from 319 postings across 54 companies.

See salary data

Skills

Machine Learning Python PyTorch TensorFlow MLOps AWS GCP Generative AI Computer Vision Natural Language Processing C++ Java MLflow Kubeflow Data Pipelines Linear Algebra Statistics Calculus

What you'll do

Build ML-based software systems to create improved advertising experiences and campaigns for users.
Process diverse datasets including image, video, audio, text, and structured performance data.
Strengthen the MLOps and data platform to productionize AI/ML applications more robustly.
Translate business and product requirements into viable technical solutions for stakeholders.
Develop and maintain scalable data pipelines for ML-based data processing.
Monitor and evaluate models using standard diagnostics and monitoring tools.
Stay updated on innovations in generative AI, computer vision, and natural language processing.

What we're looking for

5+ years of experience developing and deploying production-quality software.
2+ years of experience delivering software services powered by machine learning.
2+ years of experience working with cloud infrastructure such as AWS or GCP.
Proficiency in Python, with C++ or Java being a plus.
Hands-on experience with modern ML frameworks like PyTorch or TensorFlow.
Knowledge of MLOps concepts and tools such as MLflow or Kubeflow.
Experience in feature engineering, model evaluation, diagnostics, monitoring, and building scalable data pipelines.
A Master's degree in a relevant field is preferred.

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