Senior Machine Learning Engineer (AI Platform)

• 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. You’ll 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. You’ll 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. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability

Benefits

• Career development opportunities, bonus programs and annual performance reviews
• Hybrid working model, with the option to work abroad for up to 30 days
• Company equity options program
• Paid holidays, OOO time and family leaves
• Generous healthcare packages and mental health services

• M.Sc. in a relevant field is preferred
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience building scalable data pipelines for ML-based data processing
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Strong written and verbal communication skills in English
• Strong foundation in linear algebra, statistics, and calculus
• Ability and willingness to work in a hybrid capacity from our office 3 days a week
• 2+ years of experience delivering software services powered by machine learning
• Experience in feature engineering, model evaluation, diagnostics, and monitoring
• Adaptability and resilience when facing new or ambiguous challenges
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Experience developing and maintaining services under SLA
• 5+ years of experience developing and deploying production-quality software
• Analytical mindset with a problem-solving approach
• Fluent in Python; experience with C++ or Java is a plus