Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop powerful machine learning models for optimizing logistics processes, build robust infrastructure for data feeds, and collaborate closely with data scientists to create real-time solutions.
Job Technologies
Your role in the team
- We are on the lookout for a Senior Machine Learning Engineer to join the Logistics Optimization team on our journey to always deliver amazing experiences.
- The purpose of the Optimization Tribe is to maximize Delivery Hero's logistics performance.
- We achieve this by owning and continuously improving the sophisticated algorithm that solves the real-time vehicle routing problem, assigning orders efficiently every second across the world.
- This directly impacts DH's core efficiency and customer satisfaction KPIs, influencing decisions for stakeholders from Operations to Product.
- As an ML Engineer, your value lies in tackling the problems at scale head-on and building ML models and products which shape the algorithm's logic and decisions to meet our long-term goals of best-in-class efficiency and service, making a tangible impact across the Delivery Hero network.
- In this role you will, Build and Maintain: Design, build and maintain scalable ML models services, optimizing for performance and efficiency.
- Design robust architecture: Build the infrastructure that powers critical model inputs fed every minute to the dispatch algorithm, which shapes experiences for millions of customers worldwide, every single day.
- Collaborate and Optimize: Work closely with data scientists and engineers to understand their product needs and build scalable solutions.
- Develop Tooling: Build and enhance ML engineering tooling for Model Development, Monitoring, Serving, and Experimentation.
- Leverage Cloud: Utilize DH cloud infrastructure built with modern technologies on popular cloud platforms to build highly available systems for multiple teams.
- Innovate and Suggest: Proactively suggest how the team can leverage new technologies and architectures to support new use cases.
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Our expectations of you
Qualifications
- Communication Skills: Fluency in English. Clarity in communication, both written and verbal.
- Prior knowledge of public cloud platforms (AWS, Google Cloud or equivalent).
- Knowledge of containerization and orchestration tools like Docker, Kubernetes, and Helm.
Experience
- ML Engineering Experience: Prior experience (Ideally 4+ years) in ML engineering or MLOps and familiar with the ML engineering ecosystem tools used for Model serving, training, experimentation, and feature engineering.
- Have experience building infrastructure around machine learning pipelines leveraging modern tools with hands-on experience in modern programming languages such as Python.
- ML and DS Experience: You have significant experience (ideally 3+ years) designing and implementing diverse machine learning models (e.g., regression, classification, tree-based ensembles) to solve real-world business problems, backed by a strong theoretical foundation in statistics and probability.
- Application Development: Experience building new applications from scratch along with experience building quick proof of concepts (PoCs) for solving system design challenges using open-source tools.
- Technical Evaluation: Experience in tech explorations to evaluate technologies for business problems and proposing solutions based on comprehensive pros and cons analysis.
- System Analysis: Experience in deep-diving into existing systems for investigations and improvements.
- Nice to Have Experience with ML tools like Metaflow, Airflow, MLflow, Argo Workflows, and Cloud Notebooks, etc.
- Experience with CI/CD pipelines and Infrastructure as Code (Terraform or equivalent).
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What we offer
- Nutzen Sie unser hybrides Arbeitsmodell optimal und kommen Sie zwei Tage pro Woche für persönliche Begegnungen und Zusammenarbeit auf unseren schönen Berliner Campus.
- We offer 27 days of holiday with an additional day in the 2nd and 3rd year of service.
- We will support you in developing yourself and your career growth opportunities: €1,000 educational budget, language courses, parental support, and access to the Udemy Business platform to explore a variety of online courses.
- Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym.
- Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
- The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers.
- Wondering what relocating to Berlin is like? In this article, we've put together 10 things you should know about moving to Berlin and how Delivery Hero can support you.
- You can also visit our relocation hub and check out more information about moving to Berlin.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding Year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Senior Machine Learning Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
