Deep Learning Data Specialist
Join us as a Deep Learning Data Specialist to mine valuable data, build innovative tools, and scale systems for deep learning advancements. Shape the future of AI with us!
The DLDM team (Deep Learning Data Mining) is looking for a Deep Learning Data Specialist to join our mission of helping DL teams find the most valuable data. Our team is essential for ensuring the quality and efficiency of deep learning workflows by mining valuable data in a large pool of unlabeled data. This includes building data search tools based on vision-language models, identifying out-of-distribution data samples, and building bridges between data scenarios and feature KPIs. As part of DLDM, you’ll work on designing scalable solutions for handling petabytes of data with deep learning models in the loop to unlock valuable insights. You’ll have the opportunity to work at the intersection of data engineering, machine learning, and deep learning research in a collaborative and innovative environment.
Your Responsibilities
- Develop frameworks to select, explore, and identify the most valuable Deep Learning data.
- Build efficient pipelines for data/metadata exploration and automatic value detection.
- Structure and scale services to process large datasets efficiently.
- Collaborate with stakeholders to understand data needs and align them with project KPIs.
Needed Qualifications
- Proficiency in SQL schema design tailored for deep learning use cases.
- Solid understanding of deep learning fundamentals and bottlenecks in DL pipelines (e.g., I/O, GPU inference).
- Experience with service-oriented design and Docker.
- Knowledge of Pytorch and SQL databases.
- Understanding of large language models (LLMs), vision-language models (VLMs), and retrieval-augmented generation (RAG).
- MSc with 4+ years of software engineering experience or equivalent research/PhD.
Merits
- Proven experience in scaling services to handle petabytes of data.
- Experience with vector databases, data curation, or active learning.
- Knowledge of data labeling processes.
- Practical experience containerizing open-source models and running them at scale.
- Familiarity with Kubernetes, OpenShift, or designing data search systems.
More about Zenseact
Our software makes a difference.
Using AI-based technology to create the ultimate driver support, we’re fighting to end car accidents and make roads safe for everyone. Every year, around 1,4 million people die in traffic while approximately 50 million people get injured. Many get disabled as a result of their injury. We can do better.
One purpose, one product.
We’re a software company dedicated to revolutionizing car safety. By designing the complete software stack for autonomous driving and advanced driver-assistance systems, we’re fighting to end car accidents and make roads safe for everyone. Zenseact was founded by Volvo Cars, and the teams are based in Gothenburg, Sweden, and Shanghai, China. When we aim for zero accidents faster, we strive to speed up the transition to safe automation. This is essentially achieved by making cars updatable – like a computer or a phone. With regular software updates, a vehicle can be made safer long after its production. By accelerating improvement loops, shortening development cycles, and deploying high-capacity software quickly, we can make cars safer, and faster.
Culture with people at heart
To achieve our mission of saving lives and ending traffic accidents we must go where nobody has before. It requires us to venture into the unknown, pioneering new technology and pushing the frontier of autonomous driving. While there’s no denying our determination and expertise, we must stand united to succeed. By fostering a culture of support and enablement – a place of psychological safety where all of us can thrive – everything else will follow. We call this a people-at-heart culture. This culture means caring. It means the company cares about me, and we care about one another. It means sharing, so we give each other energy and have fun together. Our culture is also about belonging. It’s important to feel at home and that we can be ourselves at work. Finally, a people-at-heart culture means well-being. So, we enjoy the flexibility needed to be and do our best – at work and in life.
Zenseact works proactively to create a culture of diversity and inclusion, where individual differences are appreciated and respected. To drive innovation we see diversity as an asset, which means we value and respect differences in gender, race, ethnicity, religion or other belief, disability, sexual orientation or age, etc.
Interviews are held continuously, so we highly recommend that you submit your application at your earliest convenience.
- Competence area
- Engineering Roles
- Locations
- Gothenburg, Sweden
- Remote status
- Hybrid
Gothenburg, Sweden
About Zenseact
One purpose, one product
We are a software company focused on transforming car safety. By developing a complete software stack for autonomous driving and advanced driver-assistance systems, we aim to eliminate car accidents and make roads safer for all. Founded by Volvo Cars, Zenseact operates globally, with teams in Gothenburg and Lund, Sweden; Munich, Germany; and Shanghai, China.
Deep Learning Data Specialist
Join us as a Deep Learning Data Specialist to mine valuable data, build innovative tools, and scale systems for deep learning advancements. Shape the future of AI with us!
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