Staff Machine Learning Engineer - Remote

Overview

We are looking for a Staff 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.

In Short

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns.
• Drive the longer term technical architecture evolution of your domain.
• Be a role model for technical excellence in your field inside Smartly.
• Coach, mentor and train our ML Engineering talent.
• 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.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly.
• Work with stakeholders to ensure we meet customers where they are.
• Apply and enhance your soft skills through collaboration.
• Keep up to date with the latest ML innovations.

Requirements

• 8+ years of experience developing and deploying production-quality software.
• 5+ years of experience delivering software services powered by machine learning.
• 4+ years of experience working with cloud infrastructure such as AWS or GCP.
• Fluent in Python; experience with C++ or Java is a plus.
• Demonstrated experience managing the technical direction of a software system.
• Experience in coaching and mentoring senior engineers.
• 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.

Benefits

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities.
• Global Impact: Be part of a company making a global impact.
• Wellbeing Focus: Enjoy generous healthcare packages and a healthy work-life balance.
• Total Rewards: Benefit from equity options and competitive compensation.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work.