Software Engineer — Structure Algorithms (Hybrid/ML)

4DMedical Limited; Australia; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work – 2 days from home

Wellness program and fruit/coffee

Parental leave paid

Gym access

Table tennis and social events

Remote work equipment provided

Job summary

4DMedical is seeking a Software Engineer to join the Structure Algorithm Team. You will design, develop and improve our lung and heart structure analysis software using traditional image processing and ML, collaborating across teams to ensure production readiness and regulatory compliance.

You will contribute to production deployments, improve verification/documentation, and work in a high-performance Agile environment with hybrid work options.

Qualifications

• Bachelor's degree in Computer Science or related fields.
• At least 8 years' experience in clean, well-structured production quality Python.
• Proven experience in a highly test-driven environment.
• Experience in developing on Linux with containerised images.
• Experience with Digital Image Processing is a plus.
• Experience implementing and working with machine learning inference a plus.

Responsibilities

• Design, develop and improve image analysis software.
• Continuous agile iteration.
• Collaborate with other teams to ensure design and implementation meet requirements.
• Write or update design, verification and validation documents.
• Work collaboratively within a high-performance Agile team to build world-leading image analysis products.

Skills

Python

Linux

Machine learning inference

Agile development

Education

Bachelor's degree in Computer Science or related fields

Tools

Containerised images

Job description

4DMedical is seeking a Software Engineer to join the Structure Algorithm Team. You will design, develop and improve our lung and heart structure analysis software using traditional image processing and ML, collaborating across teams to ensure production readiness and regulatory compliance.

You will contribute to production deployments, improve verification/documentation, and work in a high-performance Agile environment with hybrid work options.