3 days ago
Santiago, ChileSenior
Responsibilities
- Design, train, evaluate, optimize, deploy, and maintain machine learning models for predictions, recommendations, and other commerce applications.
- Design and interpret experiments, including A/B tests, to validate model performance and guide statistically grounded decisions.
- Build reliable, scalable production ML solutions using cloud infrastructure and large datasets.
- Develop predictive models, identify data patterns, and improve model effectiveness and reliability.
- Contribute to large-scale foundation-model development and apply experimental findings across retail use cases.
- Monitor production models and use experiment results and changing data patterns to drive continuous improvement.
Requirements
- 5+ years of experience in Machine Learning Engineering, Applied Machine Learning, or Data Science, including hands-on production model deployment.
- Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.
- Strong experience developing, training, evaluating, and optimizing ML models for real-world applications.
- Hands-on experience with AWS, GCP, or Azure for model training, deployment, and scalable ML pipelines.
- Strong Python skills, SQL experience, and experience processing large datasets.
- Solid statistical foundations and practical experience designing, running, and interpreting A/B tests.
- Strong software engineering practices and experience building reliable, maintainable, production-ready ML systems.
- Preferred experience in e-commerce, Retail Media, AdTech, personalization, recommendation systems, search relevance, retrieval, ranking models, deep learning, neural networks, transformers, PyTorch, or TensorFlow.
- Familiarity with emerging ML research and applying new techniques to practical problems.
Categories
About Topsort
Topsort builds retail media infrastructure for omni-channel retailers, marketplaces, and delivery apps, providing ad serving, auctions, and sponsored product/search tools to monetize onsite and offsite inventory. The privately held company, founded in 2021 and headquartered in San Francisco, sells its platform and APIs to power retailers’ self-serve advertising programs. Customers include Petco and Poshmark, and it raised a Series A in 2024.