Machine Learning Engineer (m/f/x)

Job content

New Work SE – for a better working life

We believe in a world of work where people can find their true self and achieve their full potential. New Work SE offers a wide range of brands, products and services for a better working life. This not only makes individuals more satisfied and happier, it also makes companies more successful.
Machine Learning Engineer (f/m/x)

Our Data Science team is responsible for turning data into services and products for New Work SE. Around 20 scientists and engineers work together to create highly scalable solutions which serve millions of users. We work on problems related to information extraction, mining user interests, search, recommender systems, etc. and make use of data mining and machine learning techniques to tackle these problems.

We are an international team with people working from multiple locations in Spain, Hamburg (Germany) and remote, i.e. flexible remote work is possible. Learn more about our team and topics that we are working on at: https://bit.ly/data-science-team.

At the moment, we are working intensively on reusable search and recommender system components, platform services and building pipelines for automated machine learning. Therefore, we are seeking a Machine Learning Engineer who can help us with the design and development of libraries, frameworks and platform services that facilitate development of ML-based components and services. With our work we are trying to make machine learning development more efficient and contribute to recommender systems, search services and other data-driven services that are used by millions of users on a daily basis.

A challenging task:
Design and implement libraries, frameworks and services (e.g. in Python, Scala) that make the development of search and recommender services more efficient.
Contribute to improving the machine learning lifecycle (e.g. continuous delivery for ML, functionality for monitoring quality of ML models over time, build tooling that allows for estimating effects of ML models, facilitating the transition from model development to deployment of models, etc.).
Collaborate with Data Scientists, e.g., as part of the development of services, batch processes and stream processing components (using programming languages such as Scala, Python or SQL and technologies like Spark, Kafka, etc.).
Design and implement components in a sustainable fashion (e.g. automating training of ML models; balance between complexity of models, computational costs, ease of use).
Contribute to our Machine Learning Platform and Data Platform by developing reusable data processing components, utility functions, etc.

A convincing background:
BSc or higher degree in Computer Science or similar discipline.
Very good programming skills in Python or a JVM based language (like Scala, Java, Closure or Kotlin).
Solid experience in Software Engineering and designing scalable architectures (in particular in distributed systems).
Understanding and enthusiasm to develop sustainable components that have potential to live on for years.
Sound theoretical and practical knowledge about machine learning and operating ML-based solutions.
Proficient English language skills (German is not required).

Nice to have:
Experience with developing search and recommender services throughout their life cycle.
Experience with Hadoop ecosystem and/or AWS (ML & Co.).

An inspiring environment:
The New Work SE offers a dynamic environment. As well as flexible working hours, you’ll have an opportunity to unleash your skills and acquire new ones. We offer a wide range of training courses in addition to German, English and Spanish lessons, regular team and offsite events, and lots of fun. We also provide free drinks and organic fruit as well as a ProfiTicket public transport ticket, restaurant vouchers and travel insurance. And let’s not forget the smartphone or iPad that you can use privately. You’ll also be provided with a high-end Macbook Pro, and our offices have table football tables. If you’re feeling really sporty, we also have great gym deals, and various other benefits….