Job Title

Senior Machine Learning EngineerWe are an innovative company specialising in synthetic data generation, helping organisations develop autonomous technologies such as self-driving vehicles and delivery drones. Our platform offers a new approach to generating sensor data for artificial intelligence training. We are looking for a Senior Machine Learning Engineer to join our team and advance the future of AI and synthetic data.Role Summary:Join a research-focused team dedicated to developing best practices for using synthetic data in perception systems.Design and implement perception algorithms, data pipelines, analysis tools, and domain adaptation methods.Communicate findings to guide internal decision-making and support customers' AI development strategies.Work closely with experienced professionals from sectors such as gaming, film, and automotive technology.Key Responsibilities:Generate and curate datasets for experimental purposes.Implement and refine state-of-the-art models and processing pipelines.Maintain and enhance codebases to support rapid iteration.Develop tools for evaluating the impact of synthetic data on training models.Share research insights internally and with external partners.Provide technical support and advice to customers.Keep up to date with the latest research and industry trends in synthetic data and computer vision.About You:Curious, proactive, and keen to learn.Strong collaborator with clear communication skills.Comfortable navigating uncertain or evolving environments.Hold a Masters degree or PhD in Computer Science, Machine Learning, or a related discipline.Hands-on experience developing machine learning solutions for computer vision applications, in either an academic or industrial setting.Strong Python programming skills with an emphasis on clean, maintainable code.Proficient in PyTorch or TensorFlow.Fluent in English, both written and spoken.Desirable Experience:Working on perception systems for autonomous vehicles.Applying domain adaptation techniques or creating custom methods for assessing domain gaps.Experience working in early-stage or rapidly growing technology companies.Familiarity with workflow orchestration tools like Argo, Kubeflow, Airflow, or Ray.