Deep Learning Engineer (Computer Vision) (gn) @ Machine Learning Venture, Berlin

About us

We want to make humans faster, more productive, and less prone to errors – whatever their tasks might be.

In early 2019, we founded Nomitri to turn first academic research in the emergent field of embedded deep-learning vision AI into tangible industry product development. We believe that products built on this technology can fulfill the promise of AI: It enhances human performance and productivity while being privacy-preserving at the same time. This is particularly important in the computer vision field, where sensitive visual data is used.

We believe that technology can create a real positive impact for people. We also believe that good products are simple – even if they use cutting-edge technology.

About the role

We are looking for a Junior Deep Learning Engineer to support the ML team in bringing state-of-the-art machine learning models to production. You will join our world-class engineering team (ex-Facebook, ex-Amazon, Cambridge, etc.) to help us stay on top of the latest developments in the Computer Vision Deep Learning space.

We work on object detection, scene understanding, self-supervised learning, representation learning, model compression, efficient architectures, and many other exciting topics. You will contribute to a broad spectrum of topics ranging from implementing research ideas over improving our training and deployment pipelines to enhancing our data quality and efficiency.

You will cover all phases of the ML life cycle and production-grade development

• Assess and solve new ML use cases

• Go from scoping & design to production

• Build and improve our internal ML framework

• Automate and stabilize our training, evaluation, and deployment pipelines

• Build new ML models and efficient architectures

• Improve our model compression technology

• Build tools and use the tools you build

• Exploratory Data Analysis (EDA), auditing, build tools for auto-labeling

• Maintain and extend our ML-related Postgres databases

• Manage our on-premise and cloud storage and compute resources (GCP)

Why join

You will be part of an amazing innovation-driven growth story:

We are pioneers in the field of embedded & mobile AI inference applications, repeatedly tackling technical challenges as the first in the world. Over the last 4 years, we have built up a mature tech stack that allows us to develop and deploy new applications within weeks.
We are product-driven and have already two products in production. 

We look for highly motivated and curious minds - striving to become true experts in their respective fields. Hence, we offer the flexibility that you need to contribute - we offer you to work on-site or in a hybrid manner.

We are and always have been a very international team.

We are fast and agile. We break things if needed to improve and adjust fast. No hierarchy, no walls, no politics. At the end of each week, we see our progress. We discuss, we plan, and then execute; all together and in respect of each other’s contribution.