Product ML Engineer

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Sweed POS

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Sweed POS is a comprehensive platform designed to streamline cannabis retail operations. It offers a wide range of integrated tools including point of sale systems, marketing and loyalty programs, inventory management, and eCommerce solutions tailored specifically for the cannabis industry. With features such as advanced customer management, integrated payments, and multi-location logistics, Sweed POS empowers cannabis retailers to enhance their brand presence and operational efficiency. The platform is designed to seamlessly manage retail operations without the need for third-party systems, providing a holistic and intuitive experience for cannabis businesses.

📋 Description

• Build and improve production recommendation and ranking systems • Develop personalization models across different parts of the eCommerce customer journey • Work on candidate generation, retrieval, ranking, and re-ranking approaches • Design personalized product feeds, carousels, content ordering, and next-best-action experiences • Contribute to customer behavior, demand, and product-level forecasting use cases • Connect recommendation systems with search and conversational shopping experiences • Define and track offline ML metrics and online product metrics • Design and run experiments and A/B tests to validate product hypotheses • Build scalable inference services and ML APIs • Improve feature pipelines, training workflows, monitoring, and internal ML tooling • Collaborate with Data Platform and backend teams to ensure behavioral and transactional data availability • Participate in architectural discussions and technical decision-making • Help Product teams translate business problems into measurable ML problems • Shape the roadmap, architecture, tooling, experimentation approach, data requirements, and direction of recommendation systems

🎯 Requirements

• 5+ years of production ML / Machine Learning Engineering experience • Strong commercial experience with recommendation systems • Strong Python and SQL skills • Experience with ranking, retrieval, candidate generation, collaborative filtering, embeddings, learning-to-rank, or similar recommendation approaches • Experience building and maintaining production ML systems • Experience with offline ML metrics and online product/business metrics • Experience with A/B testing and experimentation • Strong understanding of the full ML lifecycle: experimentation, deployment, monitoring, and iteration • Experience building APIs or production inference services • Good understanding of data pipelines and behavioral or transactional data • Familiarity with MLOps, CI/CD, observability, and production reliability • Strong software engineering fundamentals • Experience making technical decisions and taking ownership of solutions • Ability to work independently in ambiguous environments • Strong communication skills and a collaborative mindset • Ability to work directly with Product teams, clarify requirements, challenge assumptions, and shape solutions • English check is part of the hiring process • Ability to work as a contractor / B2B contractor arrangement

🏖️ Benefits

• 100% remote work • Flexible working hours • Core team time: 10:00-16:00 CET (flexible per team) • 20 paid vacation days + 12 holidays per year • 3 sick leave days • Medical insurance after probation • Equipment reimbursement (laptops, monitors, etc.)