machine learning engineer for advertising technology

Smartly is an AI-powered advertising technology company transforming ad experiences for brands and consumers. Its advertising platform integrates media, creative, and intelligence to support large-scale advertising campaigns and deliver business outcomes for brands and advertisers.

• Build ML-based software systems for advertising experiences and campaigns;
• Work with datasets covering images, video, audio, text, and structured performance data;
• Contribute to and strengthen Smartly’s MLOps and data platform;
• Help productionize AI/ML applications more robustly and efficiently;
• Contribute to team processes, work planning, retrospectives, and continuous improvement;
• Improve the daily work of staff at hundreds of advertisers using Smartly;
• Work with product, engineering, and infrastructure stakeholders to develop viable solutions for customer needs;
• Share knowledge, run productive meetings, and participate in pair programming and debugging;
• Keep up to date with ML innovations in generative AI, computer vision, natural language processing, and explainability.

• 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 such as PyTorch or TensorFlow;
• Knowledge of MLOps concepts and tools such as MLflow or 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 the office 3 days a week;
• Nice to have: C++ or Java experience, M.Sc. in a relevant field.

• Healthcare packages and mental health services;
• Paid holidays and family leave;
• Equity options;
• Performance-based rewards;
• Competitive compensation;
• Career development opportunities;
• Option to work abroad for up to 30 days annually.