Senior Machine Learning Engineer, AI Platform

We are looking for a Senior Machine Learning Engineer to join the AI Platform 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.

Responsibilities

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; Work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently; Be a core contributor of our team and our ways of working to build high impact products; Actively be involved in work planning, retrospectives, and overall team improvement; Impact the daily life of the staff of the hundreds of advertisers using Smartly; Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are; Translate business/product needs to viable solutions; Apply and enhance your soft skills through working closely with your colleagues and customers; Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability

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; 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; Experience developing and maintaining services under SLA; Analytical mindset with a problem-solving approach; Passion for solving customer challenges quickly while making thoughtful architectural decisions; Adaptability and resilience when facing new or ambiguous challenges; Strong written and verbal communication skills in English; Ability and willingness to work in a hybrid capacity from our office 3 days a week

Nice to have

Experience with C++ or Java; M.Sc. in a relevant field

Benefits

Inclusive Global Culture; Global Impact; Focus on Wellbeing; Healthcare packages; Mental health services; Paid holidays; Family leave; Equity options; Performance-based rewards; Competitive compensation; Career development opportunities; Flexible Hybrid Workplace; Option to work abroad for up to 30 days annually