About Syncrowin

Syncrowin is a high-growth industrial AI company backed by leading organisations globally. We are building an advanced industrial intelligence system to transform how asset-intensive industries operate. Our mission is to fundamentally improve efficiency, reliability, and sustainability across heavy industries. By combining AI with real-world operational data, we enable organisations to solve complex, high-impact problems at scale.

About the Role

We are seeking a Decision Intelligence Engineer to join our team. This role is focused on building systems that optimise decisions in industrial and energy environments.

This role goes beyond prediction. You will work on systems that determine what actions should be taken next, under uncertainty and real-world constraints. You will be working on live systems where decisions impact production, maintenance, and energy usage. The problems are not clean and the data is not perfect. This role is suited for someone who enjoys working through that complexity and turning it into something usable.

Key Responsibilities

• Design and develop decision-making systems using reinforcement learning and optimisation techniques
• Model sequential decision problems using real operational data
• Define states, actions, and reward structures based on real-world constraints
• Work with time-series data from machines, sensors, and systems
• Integrate decision models into production environments
• Evaluate and improve policies based on real outcomes

Required Experience

• 5+ years of experience in reinforcement learning, optimisation, or control systems
• Strong understanding of sequential decision-making
• Proficiency in Python and relevant ML or RL libraries
• Experience working with time-series or operational data
• Strong mathematical foundations in probability or optimisation
• Experience deploying models into real systems

Preferred Experience

• Experience applying RL or optimisation outside of simulation environments
• Exposure to industrial or energy systems
• Understanding of constrained optimisation or multi-objective systems
• PhD in a relevant field is highly regarded

Why This Role Matters

This role focuses on building systems that guide decisions in real environments. You will be working on problems where outcomes matter and where models need to perform under real constraints.

Why Join Syncrowin

• Work on real decision systems in manufacturing and energy
• Direct impact on how systems operate
• High ownership and responsibility
• Fast-paced environment with real deployment challenges

Location

Melbourne · Sydney · San Francisco. On-site presence is required, with occasional travel to industrial sites.

Perks and Benefits

• Competitive compensation
• Opportunity to participate in ESOP
• Work closely with founders and a strong technical team
• Small team with no unnecessary layers