Senior Deep Learning Engineer - End-to-End Autonomous Driving

Zenseact; Göteborgs kommun; On-site; SEK 450,000 - 650,000; Full time

Benefits offered by this job

Flexible work approach

Good work/life balance

Collaborative team environment

Job summary

An innovative AI/ML company in Gothenburg is seeking a Deep Learning Engineer to design and train spatio-temporal neural networks for autonomous driving. The role involves developing deep learning models, collaborating with diverse teams, and applying cutting-edge technologies. Ideal candidates have expertise in Python and frameworks like TensorFlow or PyTorch. Enjoy a flexible work culture that promotes work-life balance while contributing to life-saving technology.

Qualifications

• Candidate must have deep knowledge of spatio-temporal neural networks.
• Strong experience in deep learning and software development is required.
• Proficiency in programming languages such as Python is essential.

Responsibilities

• Develop and optimize deep learning models for end-to-end driving.
• Build scalable data processing and model training pipelines.
• Collaborate with teams to deploy models into real-world scenarios.

Skills

Deep knowledge of spatio-temporal neural networks

Strong background in deep learning

Software development skills

Data engineering skills

Proficiency in Python

Knowledge of TensorFlow or PyTorch

Solid understanding of statistics

Understanding of geometry

Job description

An innovative AI/ML company in Gothenburg is seeking a Deep Learning Engineer to design and train spatio-temporal neural networks for autonomous driving. The role involves developing deep learning models, collaborating with diverse teams, and applying cutting-edge technologies. Ideal candidates have expertise in Python and frameworks like TensorFlow or PyTorch. Enjoy a flexible work culture that promotes work-life balance while contributing to life-saving technology.