Next-Gen Deep Learning Engineer

Join Our Team as a Next-Gen Deep Learning Engineer

Are you ready to work at the cutting edge of Deep Learning alongside highly skilled engineers and researchers from around the world? At Zenseact, we offer you the opportunity to access one of the largest GPU clusters in Sweden and see your innovative ideas come to life in real-world applications. Our inclusive culture values innovation, trust, and collaboration, ensuring that our people are at the heart of everything we do.

About the Role

As a Deep Learning Engineer at Zenseact, you will be part of a dynamic team that is central to our mission of revolutionizing car safety through autonomous driving technology. You will work on some of the most challenging Deep Learning use cases, focusing on self-driving cars with the ultimate goal of achieving zero traffic accidents.

Key Responsibilities

Contribute to the development of common training frameworks and data pipelines.
Engage with stakeholders to define design goals, interfaces, and requirements.
Define data needs, write annotation guidelines, and ensure continuous data quality.
Implement algorithms, define networks and objectives, and innovate through experimentation.
Define KPIs and build necessary metrics and evaluation pipelines.
Deploy, test, and maintain algorithms in production vehicles and on our compute cluster.

What We Offer

Work at the forefront of technology in a leading AI/ML company.
Collaborate with highly skilled, innovative, and creative individuals.
Enjoy a flexible work approach and a genuinely good work/life balance.

Qualifications & Experience

We are looking for candidates with hands-on experience in Deep Learning, whether you have several years of experience or as little as 6 months (equivalent to a master thesis project) within vision or deep learning. Key competencies include:

Software development
Data engineering
Statistics and geometry
DL frameworks (TensorFlow, PyTorch)
Python programming

Additional Skills

Experience with perception, including sensing, sensor fusion, and tracking (vision, lidar, or radar).
Knowledge of convolutional networks, transformers, and recurrent neural networks.
Familiarity with data curation, active learning, and auto annotation.
Understanding of MLOps, compute orchestration, pipeline management, and databases.
Experience with simulation, synthetic data, and neural radiance fields (NeRFs).

About Zenseact

Zenseact is an AI and software company dedicated to revolutionizing car safety. By designing the complete software stack for autonomous driving and advanced driver-assistance systems, we aim to end car accidents and make roads safe for everyone. Founded by Volvo Cars, our teams are based in Gothenburg, Sweden, and Shanghai, China.

We foster a culture of diversity and inclusion, where individual differences are appreciated and respected. We believe that diversity drives innovation and value differences in gender, race, ethnicity, religion, disability, sexual orientation, and age.

Interviews are held continuously, so we highly recommend that you submit your application at your earliest convenience.