What we do
Merantix transforms how businesses, healthcare organizations, and governments operate by building products that apply machine intelligence to their enterprise datasets. We acquire datasets that enable promising products, incubate those products, and spin off ventures to support their growth. We take advantage of three core competencies: Our experience applying machine learning, our expertise fostering enterprise partnerships to assemble vast datasets, and our culture of rapidly iterating to build scalable products.
Our projects are meaningful and diverse. Currently we work on:
As our current ventures progressively grow mature and become more independent, we will look into new industries such as satellite imagery, pharmaceutical drugs, industrial IoT and automated manufacturing.
Our team is made up of entrepreneurs, scientists, and engineers from premier universities around the world. Many of us have PhDs and work experience at top tech companies. We’re based in Europe’s startup capital, Berlin, and are growing quickly!
Are you passionate about software and data and interested in machine learning? Does the prospect of building applications from scratch excite you? Do you want to play an instrumental role in building deep learning products?
Merantix is looking for Software Engineers to join our core team building scalable ventures. Among your main responsibilities will be to:
Help our ventures scale their applications by writing production-ready code
Work with interesting proprietary data sets (i.e. medical imaging, autonomous driving, financial markets)
Automate build, test, and delivery
Understand challenging domain-logic (i.e. medical diseases, autonomous driving hardware, financial exchanges)
Keep our python codebase healthy and easily extendable
Develop applications and tools for experimentation, data integration, quality, modelling, etc.
You will use modern frameworks and libraries to build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as your work will focus on constantly-evolving projects. Some projects will require special considerations, such as low latency, on-premise deployment, high throughput, one-off language bindings. You will work closely with our Machine Intelligence Engineers, profiting from and enriching their expertise.
We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision.
BA/BS in Computer Science or related technical field, or equivalent practical experience
Solid competence in software engineering with a common programming language
Willingness to pick up new knowledge as needed
Ability to work with a large and complex code base
MS or PhD in Computer Science or related technical field
Experience in designing, implementing and running production services
Excellent competence in scientific engineering with Python, including Numpy and TensorFlow
Experience working with cloud infrastructure (GCP, AWS) and/or Docker
Practical understanding of code optimization and efficiency
Knowing and caring about sound engineering practices like version control, clean code, code review, testing, continuous delivery and automation
Relevant industry experience developing data-driven products
Bonus: Skilled with a low-level programming language such as C, C++ or Rust
Bonus: Industry experience working with large-scale data processing (Spark, Flink, Kafka)
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk!
Working at Merantix
Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
In addition to a competitive salary and equity package, you can expect the following:
Some of us come in during regular business hours, and some of us prefer to start later or earlier. Occasionally, we work from home in the mornings or evenings rather than in the office. We don’t track vacation time, and expect you to take time off as you need it. And while the infrequent unavoidable deadline may demand extraordinary effort, we value our evenings and weekends and overtime is the exception, not the rule. Just ask one of our founders, a father of two.
We want each developer to attend at least one professional conference each year. You might take part in PyData, Strata or similar. Last year our entire machine learning engineering team attended NIPS and ICCV. We make major contributions to the open source community. We have a weekly paper reading group to stay up on current research.
We have regular outings and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.