Senior Machine Learning Engineer

At Oxa, we're building the future of Industrial Mobile Autonomy (IMA) and are in the market for new talent.

Oxa’s customers are the operators of some of the world's largest industrial facilities. Our technology transforms existing industrial vehicles into intelligent autonomous fleets, unlocking new levels of productivity, safety, and performance.

‘The phone in your hand, the coffee on your desk, the shirt on your back - they all moved through a web of ports (air and sea), distribution yards and manufacturing hubs. This is the invisible circulatory system of global trade, and it relies entirely on a relentless, repetitive shuffle of goods. Towing.

This towing task happens in complex, commerce-critical industrial environments. Here, having self driving technology “do the driving” delivers immediate, measurable impact. IMA will revolutionise the movement of goods across the world's ports, airports, and yards.

You can be part of that as an Oxbot’

‘Paul Newman - Founder and CEO’

Our products are built on four core technology pillars which come together to build a complete system:

• Oxa Ware – Our modular autonomy hardware systems for consistent and repeatable integration of autonomy with existing vehicles.
• Oxa Driver – Our Physical AI, embodied in Oxa Ware, self-driving software that enables vehicles to perceive, reason, and drive autonomously in complex real-world environments.
• Oxa Foundry – Our development toolchain that leverages generative AI to continuously train and assure Oxa Driver, synthesising situations and sensor data.
• Oxa Hub – Our suite of cloud services for monitoring, managing and orchestrating fleets driven by Oxa Driver, including an API for integration with existing logistics systems
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Behind these technologies is our exceptional team, the Oxbots
. We are home to some of the world's leading experts in autonomous systems, robotics, machine learning, artificial intelligence, cloud infrastructure, and distributed software engineering. Together, we're solving some of the hardest technical challenges in autonomy, turning the research and development we do into production and deploying it into environments. Making robots do useful work.

You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable Oxa Driver™ to plan and execute sophisticated, safe driving behaviours scalebly across all of our customer domains.

As a Senior Engineer (ML Reasoning) you will be taking a leading role within research and development of your team to enable Oxa Driver’s data driven reasoning capabilities. You will actively be training, evaluating, and deploying state-of-the‑art machine learning models to reason and plan how to drive in industrial environments.

• Researching, developing, and deploying state-of-the‑art machine learning models for autonomous vehicle trajectory planning, specifically utilizing Machine Learning techniques such as Behaviour Cloning (BC) and Reinforcement Learning (RL).
• Designing and scaling end-to-end pipelines for large-scale model training, ensuring efficient distributed training performance across simulation and real-world datasets.
  
  Applying strong experiment and data analysis skills to rigorously evaluate model performance, turn results into actionable items, and communicate findings with your team.
• Develop simulation-in-the-loop training and evaluation environments, defining rigorous safety/comfort metrics and test scenarios for planning performance analysis.
  
  Keeping up with the latest advances in imitation learning, deep reinforcement learning, and motion planning research, and applying relevant techniques to Oxa Driver.
• Optimise ML models and codebases for compute and memory efficiency to ensure efficiency in model training pipelines and meet vehicle deployment constraints.
  
  Understanding what data is needed to train and evaluate ML-based trajectory planning, and working with data teams and tools to source or generate the necessary real or synthetic data to achieve the team’s goals.
  
  You will be encouraged to share…