Research Software Engineer, First State AI Institute

Responsibilities

• Develop, optimize, and maintain software for AI research projects.
• Collaborate with researchers to implement state-of-the-art machine learning models.
• Work with large-scale datasets, designing efficient data processing pipelines.
• Support the deployment and scaling of AI models for real-world applications.
• Contribute to open-source AI projects and research publications.
• Stay up to date with the latest advancements in AI and machine learning.
• Be an advocate to maintain and improve computing infrastructure for code development.
• Create comprehensive documentation of any software developed.
• Ensure smooth handover with clear communication at the conclusion of the RSE software development.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3+ years of Python experience with ML libraries (TensorFlow, PyTorch, scikit-learn), including optimization and deployment in production environments.
• Strong grasp of AI/ML fundamentals including advanced concepts in model architectures, hyperparameter tuning, and real-world problem-solving.
• Proficiency in software development best practices (version control, testing, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques.
• Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment.
• Skilled in working with medium-large scale multicore and heterogeneous (CPU + GPU) clusters.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Master’s degree in a related field.
• Experience with deep learning model training, evaluation, and distributed computing.
• Contributions to AI research and open-source projects.
• Strong collaboration skills across scientific disciplines.
• Ledgers or project management experience.
• Ability to design and teach AI modules or training sessions.
• Experience presenting research in publications, seminars, or conferences.