Senior ML Engineer (Routing)

Instinctools; Kraków; On-site; PLN 190,000 - 270,000; Full time

Benefits offered by this job

flexible working time

professional and ambitious team

learning opportunities

Job summary

instinctools seeks a Senior ML Engineer (Routing) to design and build ML systems powering ETA accuracy and routing quality at scale. You will work with deep learning models, geospatial data pipelines, and low-latency production serving.

The role involves end-to-end ML lifecycle management, experiments, and collaboration with backend and product teams to extend ETA capabilities across verticals. 6+ month project.

Qualifications

• 5+ years of ML engineering, with production deep learning experience.
• Experience building regression/forecasting ML systems.
• Expert Python and data libraries (PyTorch, Pandas, NumPy).
• Ability to design end-to-end ML systems from data to production.
• Experience with MLOps and production model lifecycle.

Responsibilities

• Design and build ML models to improve routing ETA estimates.
• Develop traffic-estimation models from GPS data for speeds.
• Work on map-matching and spatial aggregations for modeling.
• Improve ETA and rerouting logic to reflect changing conditions.
• Collaborate with backend to deploy low-latency production services.
• Own ML lifecycle: monitoring, drift detection, retraining pipelines.

Skills

Python

PyTorch

SQL

Pandas

NumPy

Scikit-learn

XGBoost/LightGBM

MLOps

Production ML

Tools

PySpark

ML serving infra

CatBoost

Transformers

Job description

• instinctools is a software development company that provides custom software solutions for businesses of all sizes. Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.
• instinctools is looking for a Senior ML Engineer (Routing) for one of our clients.

• instinctools is a software development company that provides custom software solutions for businesses of all sizes. Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.
• instinctools is looking for a Senior ML Engineer (Routing) for one of our clients.

Location: Europe, Poland, Kazakhstan

Client: is a global mobility and urban services platform that allows users to book rides or other services and negotiate the fare directly with the service provider. It offers a variety of services including ride-hailing, intercity travel, delivery, and task assistance, operating in over 700 cities across 47 countries and is the second most downloaded mobility app in the world.

Project Description: We are looking for a senior machine learning engineer who will design and build the machine learning systems that power ETA accuracy and routing quality at scale. The work spans deep learning model development, large-scale geospatial data pipelines, and low-latency production serving. You will measure your impact through offline evaluation metrics and the results of online experiments including shadow tests and switchback designs which feed directly into ETA accuracy, cancellations, and business outcomes.

Duration of cooperation: 6+ months

Working time zone: СЕТ

Responsibilities And Tasks

• Design and build ML models that correct and refine the routing engine’s ETA estimates, from gradient-boosted trees through to neural and Transformer-based architectures as data scale grows
• Develop traffic-estimation models that turn large-scale GPS data into road-level speeds and historical-traffic profiles, and feed them into the routing engine to produce time-of-day-aware ETAs
• Work on map-matching that snaps noisy GPS data onto the road graph, and the spatial aggregations that make movement and speed data usable for modeling
• Improve ETA calculation, smoothing, and rerouting logic to close the gap between predicted and actual arrival times across changing conditions
• Translate routing and ETA goals into ML objectives with the right proxy metrics and non-functional requirements, including loss formulations where under- and over-prediction carry different costs
• Lead evaluation end-to-end, from offline accuracy and routing-quality metrics to the design of online experiments including shadow tests and interference-aware designs such as switchbacks and prove a change improves accuracy before it ships
• Partner with backend engineers to take models from prototype to low-latency production serving that meets tight latency and throughput targets
• Partner with product and operations to turn routing and traffic analysis into concrete features and requirements, and help extend ETA capabilities across verticals
• Own the ML lifecycle in production – serving, monitoring for data and concept drift, and building the retraining pipelines that hold quality as traffic patterns, cities, and the map shift.

Our Expectations Of The Ideal Candidate

• 5 or more years of machine learning engineering experience, with at least three of them building and deploying deep learning models in production
• Direct experience building regression, forecasting, or other supervised ML systems for real-world prediction problems.
• Expert-level proficiency in Python and its core data science libraries and SQL (e.g., PySpark, Pandas, NumPy, Scikit-learn, PyTorch; gradient-boosting libraries such as CatBoost/XGBoost/LightGBM)
• The ability to design an ML system from scratch in at least one area, including data analysis, processing, and feature engineering through to a model serving in production
• Experience turning a business goal into an ML problem with the right proxy metrics and non-functional requirements, and designing or substantially contributing to the experiments and statistical evaluation that prove impact on real-world behavior
• Experience using MLOps tools and practices to manage the ML model lifecycle
• Experience deploying models to production on ML serving infrastructure and optimizing for latency, and awareness of concept drift and how to detect and manage it
• Comfort working with large-scale geospatial and behavioral data (e.g., GPS traces, H3 spatial indexing) and distributed processing.

Nice To Have

• An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus
• Subject matter depth in ETA / travel-time prediction, traffic estimation, or routing-engine quality
• Hands-on experience with open-source routing engines (e.g., Valhalla, OSRM, GraphHopper) and concepts such as map-matching, speed profiles, road-graph tiles, and historical traffic
• Experience in mapping, location, or geospatial products
• Experience building for developing markets, where the underlying map and address data is weak
• Experience with a cloud data and ML platform such as BigQuery or Databricks (certifications a plus), and with distributed deep-learning training

English: Upper-Intermediate

Soft Skills

• The ability to influence teammates and partner teams, and to communicate complex results clearly

We Offer

• flexible working time
• professional and ambitious team
• learning opportunities, seminars and conferences and time for exploring new technologies
• co-funding for language courses (English)

Important Notice Regarding Your Personal Data Security

At *instinctools, We Take The Security Of Your Personal Data Very Seriously. Please Be Informed That All Official Communication, Offers, And Correspondence From *instinctools Are Conducted Only Through Our Verified Company Resources, Including

Official Email Domain: @instinctools.com

Company Website: https://www.instinctools.com

Important Reminder

• instinctools will NEVER ask for sensitive personal or financial information, including: – Bank account details – Credit/debit card numbers – Passwords or PIN

If You Receive Any Suspicious Requests Claiming To Be From *instinctools Via Unofficial Channels (e.g., Personal Emails, Social Media DMs, Or Phone Calls), Please

– Do not respond or share any information.

– Report it immediately to [e-mail] or your official contact.

Your trust and security are our top priorities. For any questions, always verify through our official channels.

Thank you for your attention and cooperation.