Expert Deep Learning Engineer

<p><span><em>Do you want to design and train deep neural networks from scratch? Are you excited about building frameworks for end-to-end learning that make self-driving cars safer? Are you looking for a place to collaborate with experts in your field, in a highly innovative company where you can enjoy genuine work life balance? Do you want to work with the latest technologies like transformers, in</em></span><em> a warm inclusive culture - and help save millions of lives in the process?  Apply today - no CV needed, all we need is your name, email and phone number! We'll cover the rest later.</em></p><h3><span><strong>Insights from the team</strong></span></h3><p><span>At Zenseact, we design and train spatio-temporal neural networks for end-to-end driving — </span><strong>systems that already run in our cars today.</strong><span> Our models are deployed on a single compute platform, processing multi-modal sensor data in real time and making safety-critical decisions on the road. We are a team of engineers and researchers working on the next generation of deep learning for autonomous driving. </span>We work across the full stack: from tailored data pipelines and large-scale training to architecture design, validation and production integration. <span>We train networks from the ground up, using tailored datasets and custom architectures. Collaboration and curiosity drive us forward.</span></p><p>Solving these complex problems is a team effort — researchers and engineers learning from each other, sharing knowledge openly, and growing through hands-on challenges in production systems. <span>Our mission is to create models that understand complex environments and make safe decisions in real time.</span></p><p>The next major release — including the upcoming EX60 in summer 2026 — will further evolve our AI stack in real-world cars. Here, you combine cutting-edge AI with a culture that values collaboration, flexibility and balance — making space for life outside of work while building technology that truly makes a difference on the road.</p><h3><span><strong>Your mission and day-to-day tasks</strong></span></h3><p><span>In this role, you will focus on end-to-end learning approaches for autonomous driving. You’ll design spatio-temporal neural networks, train them on large-scale data, and integrate them into production systems. You’ll collaborate closely with your peers – experts in perception, planning, and software engineering, to share ideas and deliver solutions that matter. Together you’re solving the hardest problems in autonomous driving, training AI to predict the unpredictable.</span></p><ul><li><p><span>Develop and optimize deep learning models for end-to-end driving</span></p></li><li><p><span>Build scalable pipelines for data processing and model training</span></p></li><li><p><span>Experiment with architectures such as transformers and recurrent networks</span></p></li><li><p><span>Collaborate across teams to deploy models into real-world scenarios</span></p></li></ul><h4><span><strong>What’s in it for you</strong></span></h4><ul><li><p><span>Work at the forefront of deep tech in one of the biggest and most interesting, challenging and dynamic AI/ML-companies in Northern Europe.</span></p></li><li><p><span>Collaborate and team-work with highly skilled, innovative, creative and smart people.</span></p></li><li><p><span>Work with people from all over the world, close to what science just came up with – or innovate it yourself.</span></p></li><li><p><span>Enjoy a flexible work approach and a <strong>genuinely</strong> good work/life balance.</span></p></li></ul><h3><span><strong>Qualifications & experience</strong></span></h3><p><span>We’re looking for someone who combines technical depth with a sense of responsibility for the bigger picture. You should be analytical, a problem solver, and an active listener who values teamwork and humility.</span></p><h5><span><strong>Essential experience</strong></span></h5><ul><li><p><span>Deep knowledge of spatio-temporal neural networks</span></p></li><li><p><span>Strong background in deep learning, software development, and data engineering</span></p></li><li><p><span>Proficiency in Python and frameworks like TensorFlow or PyTorch</span></p></li><li><p><span>Solid understanding of statistics and geometry</span></p></li></ul><h5><span><strong>Meriting experience</strong></span></h5><ul><li><p><span>Transformers, RNNs, multi-head attention</span></p></li><li><p><span>Perception systems (computer vision, lidar, radar)</span></p></li><li><p><span>Tracking and sensor fusion</span></p></li><li><p><span>Experience with imitation learning or behavior cloning</span></p></li></ul><p><br><em>This role may have access to sensitive information, trade secrets, and confidential data. As part of the recruitment process, the selected candidate might undergo a background check.</em></p&g