In-Demand Machine learning engineer Jobs in Fyshwick Act

Machine Learning Engineer
Seeing Machines —Fyshwick ACT
- Master's degree
- Bachelor's degree
- Machine learning
4h
Senior Robotics Engineer
Seeing Machines —Fyshwick ACT
- Laboratory
- Doctoral degree
- Computer Science
5d
Lead Solutions Architect (AI)
SkyDB —Canberra ACT
- $150,000 - $250,000 a year
- Full-time
- Azure
- In-person
- AI
Quick Apply
1d
Senior Data & AI Engineer
Showtime Consulting —Canberra ACT
- Azure
- Computer Science
- Master's degree
10d
Software Engineer (Data Specialist)
Australian National University —Canberra ACT
- $124,392 - $133,017 a year
- Full-time
- Research
11d
Customer Success Engineer, Australia
ExtraHop —Canberra ACT
- Hybrid work
- CRM software
- Microsoft Excel
- Azure
- Tuition reimbursement
- Annual leave
14d
Senior Delivery Consultant: Agentic Software Engineer, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Canberra ACT
- Full-time
- DevOps
- Systems design
- Databases
5d
C/C++ Software Engineers
NCH Software —Canberra ACT
- Urgently hiring
- Systems design
- Machine learning
- APIs
Google Data Engineer - GCP
NCS Australia —Canberra ACT
- Full-time
- Hybrid work
- Parental leave
Quick Apply
QA Technical Support Team Lead (Mgr Project Management 3)
HII —Canberra ACT
- $136,045 - $200,000 a year
- Full-time
- Management
- Microsoft Office
- Master's degree
- Health insurance
- Dental insurance
AI/ML Computational Scientist
Accenture —Canberra ACT
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Microservices Engineer and AI Technical Architect
Trideca —Canberra ACT
- Full-time
- Agile
- AI
- Leadership
Quick Apply
6d

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Machine Learning Engineer
Seeing Machines —Fyshwick ACT
Bachelors, Masters or equivalent qualification in Advanced Computing, Computer Vision, Machine Learning, Computer Science, or an equivalent field.
4h
Canberra | Engineering - Multiple Opportunities Available
Deloitte —Canberra ACT
To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,…

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Machine Learning Engineer

Seeing Machines -
Fyshwick ACT

Apply Now

Job Details

4 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

machine learning engineer jobs in fyshwick act

Machine Learning Engineer

Senior Robotics Engineer

Lead Solutions Architect (AI)

Senior Data & AI Engineer

Software Engineer (Data Specialist)

Customer Success Engineer, Australia

Senior Delivery Consultant: Agentic Software Engineer, AWS Professional Services

C/C++ Software Engineers

Google Data Engineer - GCP

QA Technical Support Team Lead (Mgr Project Management 3)

AI/ML Computational Scientist

Microservices Engineer and AI Technical Architect

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