In-Demand Learning engineer Jobs in Fyshwick Act

Machine Learning Engineer
Seeing Machines —Fyshwick ACT
- Master's degree
- Bachelor's degree
- Machine learning
6h
Canberra | Engineering - Multiple Opportunities Available
Deloitte —Canberra ACT
- Part-time
- Azure
- DevOps
- AWS
- Parental leave
2027 DXC Technology Graduate Program Australia
DXC Technology —Canberra ACT
- Full-time
- In-person
- AI
Senior Forward Deployed Engineer
Accenture —Canberra ACT
- Full-time
- Azure
- Computer Science
- Engineering
- On-the-job training
- Parental leave
Software Engineer
Northrop Grumman —Symonston ACT
- Parental leave
- Employee assistance program
Systems Engineer
Amazon Support Services Pty Ltd —Canberra ACT
- Full-time
- AWS
- No degree
- Scripting
- Health insurance
- Employee assistance program
6d
ICT Engineer
BAE Systems —Canberra ACT
- Weekend availability
- Hybrid work
- Management
- Engineering
- Administrative experience
Engineer - M365
LAB3 —Canberra ACT
- Contract
- Hybrid work
- Azure
- DevOps
- AI
Quick Apply
13d
Senior Robotics Engineer
Seeing Machines —Fyshwick ACT
- Laboratory
- Doctoral degree
- Computer Science
5d
Senior Security Engineer - Architecture
Macquarie Technology Group —Canberra ACT
- Full-time
- Scripting
- AI
- Communication skills
Quick Apply
7d
Systems Engineer
Downer Group —Canberra ACT
- Management
- No degree
- Leadership
Level 3 - Technical Service Engineer
KBR —Canberra ACT
- Full-time
- Analysis skills
- In-person
- Communication skills
- Parental leave
Senior Data & AI Engineer
Showtime Consulting —Canberra ACT
- Azure
- Computer Science
- Master's degree
11d
Principal Fire Protection Engineer
AECOM —Canberra ACT
- Full-time
- Hybrid work
- AutoCAD
- Engineering
- Leadership
5d
Lead Solutions Architect (AI)
SkyDB —Canberra ACT
- $150,000 - $250,000 a year
- Full-time
- Azure
- In-person
- AI
Quick Apply
1d
Field Service Engineer
BGIS —Canberra ACT
- Full-time
- Customer service
- Maintenance
- Electrical experience
- Paid training
- Parental leave
3d
Assistant Project Controller
Beca —Canberra ACT
- Full-time
- Microsoft Excel
- PMP
- Analysis skills
- Parental leave
Project Manager - Water
Beca —Canberra ACT
- Full-time
- Engineering
- Business development
- Bachelor's degree
- Parental leave
Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)
Ember Advisors —Canberra ACT
- Full-time
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Analysis skills
Quick Apply
Communications Engineer
Downer Group —Canberra ACT
- Schematics
- Systems design
- No degree
5d

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Machine Learning Engineer

Seeing Machines -
Fyshwick ACT

Apply Now

Job Details

6 hours ago

Qualifications

Computer vision
Deployment
Master's degree
Docker
Bachelor's degree
Machine learning
Software development
Computer skills
Communication skills
Computer graphics

Full Job Description

Seeing Machines (SM) is the world leader in Safety-AI, developing technology that genuinely saves lives. Our state-of-the-art driver monitoring systems are used in millions of vehicles across the globe, providing real-time protection from distraction and fatigue. We work with the world’s leading OEMs across multiple transport sectors of automotive, commercial road transport (Fleet), and aviation. In automotive, we enable safer Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) solutions. In Fleet, our best-in-class aftermarket product Guardian provides safety for the drivers and fleet operators, and in aviation, our advanced gaze tracking technology understands how pilots interact and monitor instruments – leading to better training and safer operations.

The Cabin and Camera Features team is part of the Platform Development Group, which is responsible for developing and supporting features that are used in automotive, aviation and fleet products. Examples include camera pose estimation for situations when cameras are mounted on movable items such as a car rear view mirror, and seatbelt detection from a camera system. The team comprises talented multi-disciplinary individuals with skills including software development, machine learning, data science and data acquisition.

We are seeking an outstanding applied Machine Learning Engineer with hands‑on experience developing machine learning / computer vision solutions for real-world problems with a wide impact – technology you develop will be directly deployed on millions of passenger vehicles around the world.

This is a hands-on role, and you will be working closely with a team of machine learning researchers, engineers, data scientists and product owners from diverse backgrounds to develop and deploy our technology in customer products.

You must have a strong drive to learn, experiment, adapt flexibly to changing contexts and focus on delivering features that meet real customer needs.

Your main responsibilities will include:

Training and validating machine learning models that support various vision-based production software features.
Developing and testing real-time algorithms (heuristics) leveraging ML models to meet customer use case requirements.
Directing and curating the collection and use of datasets for feature development and validation.
Deep-diving into product performance issues to identify practical strategies to improve features.
Developing and documenting high-level feature requirements, architectures, designs and test specifications.
Evaluating and employing the latest state of the art ML models and training techniques.
Collaborating closely with other machine learning researchers/engineers, software engineers, data engineers, technicians and customer project teams.
Contributing to MLOps and Data pipelines and engineering practices using tools like Docker, MLFlow, and MetaFlow.

This is a position well-suited to someone who wants to make major technical contributions to the Seeing Machines technology platform while growing their customer and product knowledge and ownership credentials.

Background, Skills, Experience and Qualifications

Mandatory:

Bachelors, Masters or equivalent qualification in Advanced Computing, Computer Vision, Machine Learning, Computer Science, or an equivalent field.
Applied Machine Learning skills, preferably with applications in computer vision.
Strong programming skills and experience developing in Python.
Excellent problem-solving abilities and strong verbal and written communication skills.
A collaborative team player who can work effectively across multiple teams.
A proactive mindset, with an eagerness to try new approaches and solve complex problems.

Desirable:

Experience deploying ML models into production or embedded systems.
Experience with ML training/deployment frameworks such as PyTorch, TensorFlow, LiteRT and ONNX.
Experience reading/writing C++ code and/or developing optimised real-time sensing and processing software.
Experience working in a customer and product-focussed commercial environment.
Experience with Data tools such as Metaflow, Streamlit or equivalent.
Good understanding of 3D geometry and Camera geometry (e.g. coordinate frames, transforms, and 3D–2D projection models).
Experience with agentic coding techniques.

Apply Now

Refine Your Search

learning engineer jobs in fyshwick act

Machine Learning Engineer

Canberra | Engineering - Multiple Opportunities Available

2027 DXC Technology Graduate Program Australia

Senior Forward Deployed Engineer

Software Engineer

Systems Engineer

ICT Engineer

Engineer - M365

Senior Robotics Engineer

Senior Security Engineer - Architecture

Systems Engineer

Level 3 - Technical Service Engineer

Senior Data & AI Engineer

Principal Fire Protection Engineer

Lead Solutions Architect (AI)

Field Service Engineer

Assistant Project Controller

Project Manager - Water

Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)

Communications Engineer

I want to receive the latest job alert for learning engineer in fyshwick act

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