Machine Learning Engineer (Full-time) (m/f/d) – Tübingen
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What we do
At Layer7 AI we don’t only consult on matters around Artificial Intelligence (AI), but we also leverage promising
datasets to either identify, train and implement customized AI models for our clients or to build standalone
scalable AI products. To stay on top of the latest developments in machine learning we collaborate with
selected scientists from the Max-Planck-Institute for Intelligent Systems and the University of Tübingen, which
is also the reason why we are based in Tübingen – Germany’s top location for modern machine learning. Our
team consists of AI researchers, former management consultants, and software engineers. This unique
combination of expertise allows us to rapidly develop, test and scale AI solutions for our clients as well as for
our own product development pipeline.
Job
If you are passionate about developing impactful machine learning applications and would like to apply your
problem-solving skills in a diverse set of fields, this job is for you. Layer7 AI is looking for a Machine Learning
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Engineer who will be responsible to
● Research and prototype state-of-the-art deep learning models to quickly test the technical feasibility
of specific use-cases
● Develop deployment-ready AI solutions for our customers
● Create large and efficient data processing pipelines
● Build and analyze products to uncover scalable businesses
Your profile
We are looking for a driven, capable and thoughtful person who shares our vision as well as our culture of
collaboration and ownership.
Basic qualifications
● MS in computer science or related technical field, or equivalent practical experience
● Exceptional competence in 2 of the following and a demonstrated interest in the other: Applied
machine learning, software engineering, and product development
Preferred qualifications
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● PhD (strongly preferred) in computer science, machine learning, or related technical field
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● You keep yourself up to date through reading publications about machine learning in general and
Industry experience developing enterprise or data products
deep learning in particular
● Background in deep learning, reinforcement learning, computer vision, NLP or related
● You have already applied deep learning methods to pictures, texts, videos, and other time series data
● You are confident using the popular deep learning frameworks (e.g. TensorFlow or PyTorch)
Note that preferred qualifications are just that: preferred. None of us started out with all boxes ticked. If some
of these points apply to you, we definitely want to talk.
Working at Layer7 AI
We work in flat hierarchies, value direct communication, learn a lot as a team and make important decisions
together. You will be a great fit to the team and will have the opportunity to shape the future of our company
early on, if the following describes you:
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Entrepreneurial mindset, i.e. you are creative, focused and not easily discouraged
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• An ability to work in a fast-paced environment
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Excellent technical and analytical problem-solving skills
Strong organizational and multitasking skills with ability to balance competing priorities
You demonstrate a pro-active work ethic: goal-driven, independent, and structured
You possess excellent communication and interpersonal skills (English language proficiency required,
German language proficiency strongly preferred) to effectively communicate with our business and
tech teams
In addition to a competitive salary and equity package, we put strong emphasis on work-life balance,
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professional development and culture. You will be free to choose your preferred working hours and to work
from home occasionally. We expect you to take time off as you need it and we value our evenings and
weekends. While some unavoidable deadlines may demand extraordinary efforts, overtime is an exception not
the rule. To stay on top of the research literature we take part in a weekly paper reading group. In addition, our
machine learning engineers can attend at least one professional conference each year (e.g. NeurIPS or ICLR)
and are free to contribute to the open source community. Finally, we foster our group spirit with regular
outings and team dinners to which you are heartily invited. It’s great if you join but it’s also fine if you don’t.
Contact us
If you have any further queries, do not hesitate to contact us at [email protected]. We are looking forward
to receiving your CV including your preferred start date at [email protected].