Deep Learning Engineer

DEEP LEARNING ENGINEER – LLMs / RAG / EDGE AI – 4+ YEARS INDUSTRY EXPERIENCE – VERY COMPETITIVE PACKAGE + SUPER + EQUITY

• Proven experience training and deploying Large Language Models is essential
• Strong background in NLP, transformer architectures, and edge hardware deployment required
• Highly competitive salary + superannuation + equity options
• Location: Sydney, NSW
• Applicants must hold Australian Citizenship or Permanent Residency

To apply, send your current CV to [email protected]. Applications are reviewed as they are received.

ABOUT THE COMPANY

This is your chance to join a rapidly scaling company working at the cutting edge of AI and autonomy. Based out of a renowned Australian innovation centre, we collaborate with leaders in deep technology to build intelligent systems capable of real-world reasoning and communication.

With strong backing and commercial momentum, we’re looking for engineers who want more than a job – people who want to help shape a transformative product from the ground up. Equity is a key part of our compensation model, reflecting the high impact our team has on the company's future.

WHAT YOU’LL BE DOING

In this role, you’ll work across the full lifecycle of advanced machine learning systems:

• Model Development – Design and train high-performance models including LLMs and transformer-based NLP tools.
• Edge Deployment – Optimize and deploy models to run on edge platforms (e.g., Jetson), focusing on real-time performance.
• AI/Robotics Integration – Collaborate closely with robotics engineers to embed intelligent behaviour into autonomous platforms.
• End-to-End ML Ownership – Lead the full pipeline from research to deployment, ensuring reliability and scalability.

REQUIRED SKILLS & EXPERIENCE

• Degree-qualified in Computer Science, ML/AI, Robotics, or similar
• 4+ years working on machine learning projects, including:
• Training of LLMs or transformer-based NLP systems
• Edge AI deployment (Jetson or equivalent)
• Model integration with embedded platforms
• Advanced Python skills, with experience in frameworks like TensorFlow or PyTorch
• Strong grasp of neural nets, attention mechanisms, and model optimisation techniques
• Australian PR or Citizenship required

DESIRABLE BUT NOT ESSENTIAL

• ROS or ROS2 integration experience
• Experience with CUDA/TensorRT or other hardware acceleration tools
• Exposure to reinforcement learning or behaviour cloning
• Familiarity with motion planning or control systems
• Solid Git/version control knowledge and software engineering practices
• Effective written and verbal communication
• Willingness to travel occasionally for field testing or deployment

WHY JOIN?

• Strong salary package + super + equity
• Be part of a company solving real-world challenges in AI and robotics
• Work on a mission that matters, where your contributions directly influence outcomes
• Supportive, ambitious team with a bias toward innovation
• Clear growth path and scope for technical leadership

TO APPLY:

Email your CV to [email protected].