Senior Machine Learning Engineer (AI Product Lab) - Remote

Overview

We are looking for a Senior Machine Learning Engineer to join the AI Product Lab Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

In Short

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns.
• Work with a large span of datasets from image to video to audio to text to structured performance data.
• Contribute to and strengthen Smartly’s MLOps + data platform.
• Be a core contributor of our team and our ways of working to build high impact products.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly.
• Work with our stakeholders to ensure we meet customers where they are.
• Apply and enhance your soft skills through working closely with your colleagues and our customers.
• Keep up to date with the latest ML innovations.

Requirements

• 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.
• Fluent in Python; experience with C++ or Java is a plus.
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow).
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow).
• Experience in feature engineering, model evaluation, diagnostics, and monitoring.
• Strong foundation in linear algebra, statistics, and calculus.
• Experience building scalable data pipelines for ML-based data processing.
• Strong written and verbal communication skills in English.

Benefits

• Inclusive Culture: Join a diverse team across multiple locations.
• Global Impact: Influence our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages and work-life balance.
• Total Rewards: Benefit from equity options and competitive compensation.
• Hybrid Workplace: Work in a hybrid model with the option to work abroad.