Machine Learning Engineer - sennder

Overview

In this role you will join sennder’s ML team to translate data-driven insights into high-impact production models. You’ll work across pricing, forecasting, and recommender systems, while exploring new ML-driven solutions for logistics challenges. You will collaborate with product, end-users, and platform engineers to ship end-to-end models from research through production.

Your work will help accelerate profitability, capacity planning, and operational efficiency in Europe’s leading digital freight platform.

• hybrid work environment
• performance bonuses
• referral rewards
• equity
• sennCare program
• nilo partnership

• Pricing engine optimization: develop bid estimation and margin models to drive profitability
• Carrier forecasting: build predictive models for carrier behavior and market capacity
• Recommender systems: maintain and improve systems supporting daily operations
• Industry innovation & applied ML: explore ML solutions for routing and network optimization
• Product discovery & ideation: translate operational pain points into ML hypotheses and prototypes
• AI & LLM integration: use foundational models and AI tools to accelerate workflows and build internal products
• Platform collaboration: work with Data & AI Platform (MLOps) to deploy models and influence standards
• End-to-end execution: manage projects from R&D to production release and monitoring

• 5+ years of hands-on experience in Data Science or ML Engineering
• Strong foundation in statistical analysis, hypothesis testing, and data exploration
• Working knowledge of ML approaches for regression and classification
• Production-ready ML deployment experience
• Proficiency in Python, SQL, and Git
• Experience with cloud data warehouses (e.g., Snowflake)
• Jupyter Notebooks for data exploration; creating interactive dashboards (e.g., Streamlit, PowerBI)
• Knowledge of how to set up and evaluate LLMs in production
• Business acumen to translate logistics problems into data-driven solutions
• Strong collaboration and communication skills with cross-functional teams

• Strong communication
• Collaborative mindset
• Problem-solving orientation
• Python
• SQL
• Git