We Love AI JobsSoftware Engineer – ML Robotics Systems
Acceler8 TalentJoin a deeply technical team at the forefront of AI robotics systems, where you'll be involved in developing and deploying machine learning solutions that interact with the physical world. This role offers a unique opportunity to work across various areas, from data pipelines to real-world testing, in a collaborative and innovative environment.
Skills & Expertise
Key Responsibilities
Build and scale distributed Python systems for ML workflows.
Design pipelines for massive multimodal datasets.
Deploy and validate systems on real robotic platforms.
Full Description
Software Engineer – ML Robotics Systems
We’re partnered with a well-funded, deeply technical team building next-gen AI systems that operate in the physical world.
They’re hiring engineers to work across the full stack of ML-powered robotics — from large-scale data pipelines to deploying models on real robots.
👉 This isn’t siloed.
You’ll move between infra, ML, and real-world testing — and see your work come to life outside simulation.
💡 What Makes This Role Different
On any given week, you might:
* Extend a multimodal (video-heavy) data pipeline
* Improve ML training or data infrastructure
* Run experiments to validate system changes
* Deploy and test directly on physical robots
If you want to build systems that interact with the real world, this is that role.
⚙️ What You’ll Work On
* Build and scale distributed Python systems for ML workflows
* Design pipelines for massive multimodal datasets
* Improve infrastructure for large-scale model training
* Deploy and validate systems on real robotic platforms
* Drive performance and scalability as systems grow 10×+
🧠 What You’ll Own
* End-to-end systems impacting robot behaviour and capability
* Core infrastructure for data and model pipelines
* Logic that determines how robots learn from data
* Evolution of the platform as it scales toward more general AI
🔍 What They’re Looking For
* Experience building distributed systems or data pipelines at scale
* Strong Python + backend/infrastructure fundamentals
* Experience working with large datasets (ideally video/multimodal)
* Understanding of modern ML training workflows
* Cloud experience (e.g. Kubernetes, networking, permissions)
➕ Nice to Have
* Experience at very large scale (e.g. petabyte-level data)
* Exposure to robotics, perception, or embodied AI