In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Field Data Engineer (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Engineering
- Bachelor's degree
- No degree
Quick Apply
10h
Group Product Manager, Information and Infrastructure Protection
Google —Sydney NSW
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
17h
Software Engineer - API
Nuix —Sydney NSW
- Hybrid work
- Management
- Computer Science
- No degree
8h
Site Reliability Engineer, AML Platform - USDS
TikTok USDS JV —Sydney NSW
- On call
- Hybrid work
- Computer science
- Computer Science
- Master's degree
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Senior Azure Cloud Customer Experience Engineer - Japanese Speaking
Microsoft —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
Engineering Manager - (ML) - Evaluation Platform
Canva —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
- Parental leave
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8h
Software Engineer - Machine Learning
REA Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
8h

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machine learning engineer jobs near parramatta, nsw

Field Data Engineer (AU)

DroneShield Limited
Sydney NSW

Quick Apply

Job Details

Full-time
10 hours ago

Qualifications

Engineering
Mechanical Engineering
Bachelor's degree
AI

Full Job Description

Work with cutting edge AI technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the rapidly growing counter-drone sector.

Our customers operate in some of the most challenging and high-stakes environments in the world, including military organisations, government agencies, airports, critical infrastructure operators, and law enforcement. Protecting airspace in these settings requires technology that performs under pressure and teams that understand what’s at stake. At DroneShield, employees work at the leading edge of counter-drone innovation, helping to address real-world security challenges as drone threats continue to evolve globally.

With one of the largest listed defence company market capitalisations in Australia, now part of the ASX200 index, DroneShield is experiencing a period of hypergrowth. Revenue has surged from A$57 million in 2024 to over A$217 million in 2025, representing record profitability and cashflow. The total addressable global market for counter-drone is assessed at approximately $100 billion, and is currently at the nascent stage with much of the growth still to come, with DroneShield well positioned as a global market leader, and the only public listed pure-play business in this sector.

The company has grown from 11 employees in 2017 to over 450 staff globally today, and is on track to reach around 550 by the end of 2026. This expansion includes investment of over A$50 million annually in R&D, a global pipeline exceeding A$2.5 billion, and continuous scaling of production capacity to meet accelerating demand.

The role is based at DroneShield’s central Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries worldwide.

About the role

The company is seeking a Field Data Engineer to join the team in Sydney. The role will be focused on delivering high quality datasets to support the machine learning lifecycle for Droneshield’s proprietary drone detection algorithms. The successful candidate will be exposed to cutting edge embedded data capture tooling, the machine learning lifecycle, radio frequency mechanics, data processing techniques and the most sophisticated drone platforms in the world.

Responsibilities, Duties and Expectations

This is a multi-disciplinary role, working in the Signal Intelligence Operations Team to create high quality datasets for state-of-the-art AI model training and algorithm development.
Record radio-frequency data in anechoic chambers and a variety of environments. This role offers the opportunity to regularly travel to field sites. Expect to travel within Greater Sydney at least once per week.
Research and analyse RF signatures emitted by state-of-the-art drones. The role includes hand-on soldering and configuration of RF emitters.
Process and organise raw data in the Linux terminal.
Improve current data capture workflow with process and technology improvements.

Qualifications, Experience and Skills

BS degree in an Engineering discipline especially Aerospace, Mechanical, Mechatronic or equivalent practical experience.
Experience operating a Linux terminal.
Ideal: Exposure to the machine learning lifecycle and/or computer networking.
Ideal: You’re a drone enthusiast and keep up with the latest industry trends.
We’re hiring at both a junior & mid-level for this role.

Who you are

First and foremost, you are a results-driven and reliable individual. You take extreme ownership over your work and will do whatever is needed to help the team.
You have a can-do attitude, love hands-on work and enjoy tackling new problems.
You are confident working with the Linux terminal.

Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.

Quick Apply

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Field Data Engineer (AU)

Group Product Manager, Information and Infrastructure Protection

Software Engineer - API

Site Reliability Engineer, AML Platform - USDS

Senior Data Analytics /BI Lead

Sr Security Engineer, Region Services

Senior Consultant - Data & Analytics (Open)

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

Engineering Manager - (ML) - Evaluation Platform

Software Engineer - Machine Learning

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