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:
- Automated medical image diagnosis
- Financial models for automated trading on new markets
- Deep neural networks used for autonomous driving
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!
Job
Are you passionate about data?
Does the prospect of dealing with massive volumes of data excite you? Do
you want to play an instrumental role in building deep learning
products?
Merantix is looking for a Data
Engineer to join our core team building scalable ventures. Among your
main responsibilities will be to:
- Design terabyte-scale data pipelines
- Automate data retrieval, processing and serving on cloud infrastructure
- Implement privacy and security mechanisms for sensitive data, such as in health care
- Develop applications and tools for data integration, experimentation, quality, modelling, etc.
- Keep up to date with advances in big data technologies and integrate new data architectures into our infrastructure
You will use modern frameworks
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 automating different data pipelines for
constantly evolving projects. Successful projects will be highly
automated via clean, maintainable code. 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 and Backend Engineers, profiting from and enriching
their expertise.
Qualifications
We define ourselves by a culture
of friendship and ownership. We’re looking for capable, driven, and
thoughtful people to add to our vision.
Basic qualifications:
- BA/BS in Computer Science or related technical field, or equivalent practical experience
- Solid competence in software engineering with a common programming language such as Python, Java/JVM or .NET
- Experience with distributed data processing frameworks on Linux, such as Apache Beam, Spark, Kafka Streaming or Flink
Preferred qualifications:
- MS or PhD in Computer Science or related technical field
- Excellent competence in software engineering with Python, including Numpy and Pandas
- Industry experience working
with large-scale data processing (Spark, Flink, Kafka), cloud
infrastructure (GCP, AWS) and/or machine learning frameworks
(TensorFlow)
- Practical understanding of code optimization and efficiency
- Significant industry experience developing data products
- You know and care about sound
engineering practices like version control, clean code, code review,
testing, continuous delivery and automation
- Bonus: Skilled with a low-level programming language such as C, C++ or Rust
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:
- Entrepreneurial mindset: Creative, focused, and not easily discouraged
- An ability to work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm.
- Excellent technical and analytical problem-solving skills
- Structured work style to develop effective solutions with minimal oversight
- Analyze and solve problems at their root, stepping back to understand the broader context
- Strong organizational and multitasking skills with ability to balance competing priorities
- Excellent communication (verbal
and written) and interpersonal skills and an ability to effectively
communicate with both business and technical teams.
- Love what you do (and own it)
In addition to a competitive salary and equity package, you can expect the following:
Work-life balance:
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.
Professional development:
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.
Collaborative culture:
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 e
