Senior ML Engineer (Routing)

Location: Europe, Poland, Kazakhstan

Company

hirify.global is a software development company delivering custom software solutions for businesses and supporting large-scale client projects.

What you will do

• Design, build, and optimize machine learning models that refine routing-engine ETA estimates.
• Develop traffic-estimation models from large-scale GPS traces, including road-level speed estimates and historical traffic profiles.
• Implement map-matching approaches and spatial aggregations for noisy movement and speed data.
• Improve ETA calculation, smoothing, rerouting logic, and routing quality across changing traffic conditions.
• Evaluate models through offline metrics and online experiments, including shadow tests and switchback designs.
• Deploy and operate production ML systems, including serving, latency optimization, monitoring, drift detection, and retraining pipelines.

Requirements

• 5+ years of machine learning engineering experience, including at least 3 years building and deploying deep learning models in production.
• Expert-level Python and experience with Pandas, NumPy, Scikit-learn, PyTorch, and gradient-boosting libraries such as CatBoost, XGBoost, or LightGBM.
• Strong SQL skills and experience with distributed processing technologies such as PySpark.
• Experience designing supervised ML systems from data analysis and feature engineering through production serving.
• Experience with MLOps, production inference optimization, concept-drift management, and reliable ML pipelines.
• Experience with large-scale geospatial and behavioral data, GPS traces, and spatial indexing such as H3. English: Upper-Intermediate required.

Nice to have

• Academic background in Computer Science, Mathematics, or another quantitative discipline.
• Expertise in ETA or travel-time prediction, traffic estimation, or routing-engine quality.
• Experience with Valhalla, OSRM, GraphHopper, map-matching, speed profiles, road-graph tiles, or historical traffic data.
• Experience with mapping, location-based, or geospatial products and markets with limited map or address coverage.
• Experience with BigQuery, Databricks, distributed deep-learning training, or relevant cloud certifications.

Culture & Benefits

• Technically challenging production ML work where model quality affects routing accuracy and business outcomes.
• End-to-end ownership across geospatial data processing, model development, deployment, evaluation, and retraining.
• International product environment focused on large-scale GPS, traffic, road-network, and location-based data.
• Learning opportunities, seminars, conferences, and time to explore new technologies.
• Co-funding for English language courses.