Machine Learning Engineer , Consumer Discovery (all genders)

Job Description

We are on the lookout for a Machine Learning Engineer (all genders) to join the Global Discovery team.

About the team :

We provide cutting-edge Search and Recommendation services across all our platforms, impacting millions of users worldwide.

Our search functionality spans more than 60 countries and 35 languages, facilitating over 80 million searches daily across four continents.

Your mission :

Develop and Optimize Search Algorithms : Implement and enhance search machine learning algorithms, such as learning to rank, semantic search, and personalization, to deliver the most relevant results to our users.

Collaborate Across Teams : Work closely with cross-functional teams, including Data Scientists, Backend Engineers, Product Managers, and Data Engineers, to design and deploy scalable solutions.

Analyze and interpret large datasets : Extract meaningful insights and improve search relevance.

Innovate and Experiment : Identify and apply the best machine learning and statistical methods to solve complex problems, ensuring solutions are scalable and effective in production environments.

Navigate Ambiguity : Define and tackle data science problems amidst ambiguity, ensuring clear problem definitions and actionable insights.

Qualifications

Experience : Master’s degree (or Bachelor’s with 4+ years of work experience) in a quantitative field such as Computer Science, Mathematics, Physics, Theoretical Chemistry, or similar.

2+ years of experience as a data scientist or ML engineer working on applying data science fundamentals to solve complex business problems

Technical Expertise : Proficiency in SQL and Python and its ML ecosystem is essential. Experience with Java and Scala is a plus.

Machine Learning Knowledge : Strong understanding of a wide variety of ML and statistical methods, including Classical ML, Deep Learning, NLP, and Recommendation Systems.

Ability to discern the most suitable approach for different problems.

Search and Ranking ML Algorithms : Hands-on experience with search machine learning algorithms, such as learning to rank, semantic search, and personalization.

Problem-Solving : Comfortable with ambiguity and capable of navigating it to define clear data science problems and solutions.

Strong analytical and problem-solving skills with a focus on delivering practical solutions.

Collaborative Spirit : Proven experience working in cross-functional teams, contributing effectively to joint projects and achieving common goals.

Excellent communication skills to articulate complex ideas and influence stakeholders.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

We offer 27 days holiday with an extra day on 2nd and 3rd year of service

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape

Get moving and release those wonderful, mind-boosting endorphins : Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

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

Look up and go for it. We will support you in developing yourself and your career : 1.000 € Educational Budget, Language Courses, Parental Support

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, Food Vouchers, Online Canteen, Corporate Discounts

At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.

Fostering this starts with hiring therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.

Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.