• Design and implement the statistical models and ML algorithms that drive our market analysis • Architect how models are trained, versioned, and served in a production environment • Partner with the product team to design the data foundations for every new feature • Act as a force multiplier for our full-stack engineers • Define the HelloData standard for data integrity, pipeline observability, and algorithmic transparency

• Implement the latest research advances in Neural Rendering and generative models • Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations • Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training • Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks • Own development projects in the team – From research, design, to implementation, testing and deployment • Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes. • Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company. • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. • Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.

• Design, develop, train, and optimize ML models and AI solutions to solve complex business challenges. • Collaborate with Data Engineers on data collection, preprocessing, and feature engineering for model training and evaluation. • Evaluate, validate, and fine-tune models to ensure accuracy, scalability, and business impact. • Deploy, monitor, and maintain ML models in production, identifying opportunities for continuous improvement. • Work cross-functionally with engineers, data scientists, and business teams to deliver end-to-end ML solutions aligned with business needs.

• Design, train and improve upon cutting-edge models. • Help us develop new techniques to train and serve models safer, better, and faster. • Train extremely large-scale models on massive datasets. • Explore continual and active learning strategies for streaming data. • Learn from experienced senior machine learning technical staff. • Work closely with product teams to develop solutions.