Tag: ML Engineer

Senior Machine Learning Scientist

Looking for an exciting opportunity to work with a company that is revolutionizing the world of Artificial Intelligence?

Join a rapidly growing, innovative tech company at the forefront of the industry. An opportunity to work on cutting-edge technologies and help drive real-world business outcomes for clients.

What’s in it for you:

• Generous salary package - earn up to 190k base + super!
• Monthly team events and training
• Awesome and supportive team culture
• Work with the high-level engineering team
• Be involved in exciting and diverse projects

What you’ll do:

• Lead and mentor the ML scientist team.
• Develop and implement advanced machine learning and data science solutions.
• Collaborate with computational and experimental scientists to optimize predictive models.
• Partner with a multidisciplinary team of engineers and researchers across teams.
• Stay up-to-date with the latest ML ideas and software.
• Produce high-quality, tested code for large-scale science applications with big datasets.
• Demonstrate strong Python skills in the explore, design, and deploy stages.
• Build and maintain strong relationships with clients through excellent communication and collaboration skills.
• Advise the team on innovative methodologies and data science tools.
• Communicate complex ideas to technical and non-technical audiences with clarity and precision.
• Be creative and inquisitive while learning and applying new methodologies.
• Take ownership of problems and collaborate with peers to deliver the right technical solutions and business outcomes.

What you’ll need:

• Degree in computer science, information science, or similar quantitative field. Ph.D. is strongly preferred.
• Successful delivery of science initiatives with well-defined scope, timing, and outcomes.
• Leadership experience in science initiatives and stakeholder management with timely and complete updates.
• Experience with forecasting and algorithms
• Experience with ML modelling, stats, and experimental
• Minimum of 6 years of experience in a commercial role as a Machine Learning Scientist.
• Good knowledge of machine learning algorithms and building machine learning models.
• Operating efficiently in data science roles with cross-company collaboration and disciplined initiative delivery.
• Experience in working with one or more large databases and data visualization.
• Experience with popular machine learning packages, including Python and R, among others.
• Enthusiasm and experience in applying data science and machine learning.
• Strong communication skills and passion for working in an interdisciplinary team environment.
• Experience with other Artificial Intelligence technologies (Knowledge Engineering, Planning and • Scheduling, Distributed AI, and Multi-agent systems) is a plus.

Nice to have:

• Strong track record of research accomplishments, including three or more scientific publications or conference presentations.

What are you waiting for? This role will only be open for a short time. Apply now!


Mechatronic Systems Engineering Manager

Are you a creative thinker and a great problem solver?

Join an excellent and dedicated engineering team who brings an inter-disciplinary approach to solving technical challenges.

Collaborate on some of the most challenging problems in real-time remote sensing and optical radars.

What’s in it for you:

• Opportunity for technical or organizational leadership career growth
• Excellent company culture, with trust from employer and support from your colleagues
• Work on innovative technology in a great environment
• Workplace flexibility and work-life balance
• Innovation, proof-of-concept, and first-article rapid prototype focus

What you’ll do:

• Deliver prototyping projects and products
• Work closely with the executive leadership team to understand the product objectives and requirements
• Work with the engineering team to deliver the product
• Architecture and systems design of the new products
• Upgrade and maintain existing products
• Coach the engineering team to overcome the technical challenge and address roadblocks
• Mentor the most junior members to deliver their projects successfully
• Manage risks, issues, and dependencies
• Nurture a positive culture of engaged and accountable engineers.

What you’ll need:

• Mechatronic or Aerospace Engineering degree
• Minimum 10 years as a Mechatronic or Aerospace engineer
• Minimum 3 years managing Engineering teams and projects
• Experience in Rapid prototyping, designing, manufacturing, and testing
• Writing specifications and scopes of work for subsystems
• Able to compile BOMs, source components, and manage supply chain issues.
• Good communication skills

Nice to have:

• Experience in aeronautical or defence sector
• Experience with Optical Systems
• Experience in Computer Vision
• Experience with UAS or Sensor Payloads

What are you waiting for? APPLY NOW!


Software QA Engineer

Do you want to test the latest tech in computer vision and machine learning applied to an edge computing real-world problem?

Do you have a detective mind and like to get to the bottom of things to find the absolute truth?

Do you get satisfaction in finding faults and bugs in software so products can be bulletproof?

Do you like to automate tasks using scripting languages such as Python?

If you tick all these boxes, this one will be right up your alley.

Onsite role in Brisbane and relocation expenses from other states will be covered.

What's in it for you:

  • Work with cool tech - CV/ML
  • Know your work will impact the whole project
  • Be part of the A-grade tech team
  • Highly competitive salary

What you'll do:

  • Ensure the robustness and quality of products through rigorous testing
  • Create and execute test plans and test cases
  • Make ongoing improvements to testing processes
  • Analyse, document and track defects detected on the system
  • Build and maintain a product test farm and test scripts to execute and  test Architect and manage a Continuous Integration delivery pipeline for our different technology offerings

What you'll need:

  • Degree in Computer Science or Software Engineering
  • 5+ years of software QA experience + good experience with Linux
  • Experience with setting up hardware platform testing environments and automation
  • Strong understanding of Networking and API Protocols
  • Strong knowledge of Python (C++ would be nice to have)
  • A positive and can-do attitude is a must
  • Ability to take ownership and work independently

Australian permanent resident or citizen candidates ONLY.

Don't delay Apply Now for this rare QA opportunity.