Senior Machine Learning Engineer

We 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 Master's 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.