Research Software Engineer, First State AI Institute
Research Software Engineer, First State AI Institute
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Job Description
Pay Grade:
Context of the job:
We are seeking a Research Software Engineer (RSE) to contribute to the development and implementation of AI models research frameworks and computational tools with a goal to advance science. This role is ideal for individuals with a passion for AI research strong programming skills and a desire to work at the intersection of engineering and scientific discovery. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development.
The RSE will be part of the recently established UDs First State AI Institute (please check out the operational AI Center of Excellence website to see some of the ongoing activities) that aims to drive advancements in machine learning deep learning AI and datadriven intelligence. The Research Software Engineer will collaborate with interdisciplinary teams on campus to develop innovative AI solutions that have realworld impact.
The position includes benefits and competitive salary based on qualifications.
Responsibilities:
Software Development
- Develop optimize and maintain software for AI research projects.
- Collaborate with researchers to implement stateoftheart machine learning models.
- Work with largescale datasets designing efficient data processing pipelines.
- Support the deployment and scaling of AI models for realworld applications.
- Contribute to opensource 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
- Complete user manuals for knowledge transfer and ensure smooth handover with clear communication at the conclusion of the RSE software development
Qualifications:
- Bachelors degree in Computer Science Software Engineering or a related field.
- 3 years of Python experience with ML libraries (TensorFlow PyTorch scikitlearn) including optimization and deployment in production environments.
- Strong grasp of AI/ML fundamentals including advanced concepts in model architectures hyperparameter tuning and realworld problemsolving
- 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 costefficient and scalable model deployment.
- Skilled in working with mediumlarge scale multicore and heterogeneous (CPU GPU) clusters.
- Excellent verbal and written communication skills.
Preferred qualifications
- Masters degree in a related field.
- Experience with deep learning model training evaluation and distributed computing.
- Contributions to AI research and opensource projects.
- Strong collaboration skills across scientific disciplines.
- Leadership or project management experience.
- Ability to design and teach AI modules or training sessions.
- Experience presenting research in publications seminars or conferences.
Employment Type
Full-Time
