Senior Machine Learning Engineer

NLP PEOPLE; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading European e-commerce platform in Berlin is seeking a Senior Machine Learning Engineer to develop and improve real-time recommendation engines for their advertisements. You will enhance the system's engineering aspects while collaborating with various teams. Ideal candidates have 3+ years of experience in high-load API development or large-scale data processing and are proficient in languages like Java and Python. Competitive compensation and excellent growth opportunities await.

Qualifikationen

• 3+ years of experience in high-load real-time API development or large-scale data processing.
• Expertise in concurrent programming or large-scale data processing.
• Good grasp in basic statistical concepts and Machine Learning.

Aufgaben

• Improve the real-time recommender system's engineering.
• Build and improve ML infrastructures to enhance innovation.
• Collaborate with cross-functional teams to create positive customer impact.
• Help define team objectives and improve self-organization.
• Mentor junior and mid-level team members.

Kenntnisse

High-load real-time API development

Large-scale data processing

Concurrent programming

Network programming

Distributed databases

Microservice architecture

Tools

Java

Python

Scala

C++

Go

Flink

Storm

Spark Streaming

Kafka

Spark

Presto

Redshift

Vertica

Airflow

numpy

scipy

scikit-learn

Jobbeschreibung

As a Senior Machine Learning Engineer, you will develop and improve real-time recommendation engines for our Sponsored Product advertisements.

THE OPPORTUNITY

Every time a customer searches for products on Zalando, a bidding request is sent to our system in real-time. The system aggregates relevant data points, evaluates thousands of candidate ads with our machine learning models, and decides what product to show where – all within 10-30 ms. Every second, we score tens of thousands of ad contents

In this position, you will design, develop and run the recommendation engine that optimizes this process – with emphasis on high-load low-latency engineering techniques. The technical scope covers high-availability engineering, concurrent programming, network programming, distributed systems, distributed databases, large-scale data processing, stream processing, algorithm performance and system performance optimization.

WHERE YOUR EXPERTISE IS NEEDED

• Improve our real-time recommender system, especially on engineering aspects (resource efficiency, reliability, maintainability etc.)
• Improve the pace of innovation and experimentation by building and improving ML infrastructures
• Collaborate with brilliant Product Managers, Data Scientists, Engineers and Analysts across Zalando to create positive customer impact together
• Help define our team’s objective. Continuously improve the self-organization of the team.
• Mentor and grow junior and mid-level members of the team

Company:

Zalando

Qualifications:

• 3+ years of experience in a) high-load real-time API development or b) large-scale data processing. Experience in developing and running ML enabled systems is highly preferred
• Expertize in either a) concurrent programming (multi-threading), network programming, distributed databases, microservice architecture, or b) large-scale data processing (experience in stream processing is preferred)
• Good grasp in basic statistical concepts and Machine Learning (experience in modelling is NOT required)
• Experience in some of the following technologies Java, Python, Scala, C++, Go, Flink, Storm, Spark Streaming, Kafka, Spark, Presto, Redshift, Vertica, Airflow, numpy, scipy, scikit-learn
• Outcome-obsessed, pragmatic engineer who is relentlessly focused on creating positive customer impact

Level of experience (years):

Mid Career (2+ years of experience)

Tagged as: Germany, Industry, Machine Learning, Recommendation System