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Senior Machine Learning Engineer
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
Tools
As a Senior Machine Learning Engineer, you will develop and improve real-time recommendation engines for our Sponsored Product advertisements.
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.
- 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
Zalando
- 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
Mid Career (2+ years of experience)
Tagged as: Germany, Industry, Machine Learning, Recommendation System
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