Senior data engineer, java developer engineer, senior java developer machine learning

This is a full-time position based in Berlin. We are a remote-first organization and support mobile and flexible working. The web was created by scientists, to foster scientific collaboration and drive progress for a better world. Here at ResearchGate, we’re looking for an experienced Senior Frontend Engineer (UX & Design System) to join our team.

We provide scientists with the help and support they need by connecting them to the world’s most active scientific community.

Together, we focus on taking the web back to its original mission and changing the way scientists communicate for the better.

Collaborate with Data Scientists to implement ML systems in production

Take ownership for continuous maintenance and improvement of ML-related components (focus on recommendation-related products)

Develop, implement, and maintain Java and Python-based services (REST-, queue- and batch-based)

Build efficient batch and stream processing pipelines to handle our big data workloads

Create robust and evolvable solutions with quality of service and data integrity in mind

ResearchGate’s Data Science and Machine Learning team is a multidisciplinary engineering team, consisting of Data Scientists, Machine Learning Engineers, and Data Engineers. As a cross-functional team, we are responsible for managing the full ML product life-cycle, including identifying opportunities, matching data sources with novel ML approaches, prototyping and scaling models, and deploying and maintaining services within ResearchGate’s engineering infrastructure.

team members ask for and offer help on each others’ projects and own objectives collectively, and we work closely with stakeholders in Product and other Engineering teams. Build infrastructure that enables workflows involving large datasets and/or machine learning models in production using distributed computing and big data processing concepts and technologies

Take ownership of the technical design, monitoring, and maintenance of your systems, including Java and Python microservices

Proactively identify and evaluate opportunities for data products and automation

Evaluate the impact, risks and evaluate technical/data feasibility of potential new data products or automation initiatives in collaboration with engineering and product

Expert knowledge in Java (5+ years of experience), working knowledge of Python, particularly ML-ecosystem applications

Experience in designing and implementing data pipelines (batch and streaming)

Comfort with DevOps related technologies (Docker, Kubernetes)

Proficiency in SQL (BiqQuery experience is a plus)

Very good command of English and strong communication skills.

Experience working with a wide variety of data technologies, including queue-based integration patterns (Kafka, ActiveMQ), No-SQL databases (e.g. MongoDB), and Big Data tools, in particular the Hadoop ecosystem (MapReduce, HBase, Hive and HDFS) and Flink

Experience applying LLM-based approaches to production systems

You excel at building maintainable, efficient, and scalable software

You care about our mission and want to help us achieve it.