Machine Learning Engineer

Machine Learning Engineer focuses on build the intelligence behind next generation robotics.

What the role involves

• Build the Intelligence Behind Next Generation Robotics.
• ML Engineer to help develop the machine learning systems powering the next generation of intelligent robotics.
• Working at the intersection of computer vision, robotics, and AI, they will develop deep learning systems that allow robots to perceive environments, understand scenes.
• Fine tuning models, optimising inference performance, improving system reliability, and ensuring models can operate effectively in real time robotics applications.
• Beyond technical delivery, the company is looking for someone who values strong engineering fundamentals and understands how to build production ready ML systems rather than isolat.
• Build intelligent systems that directly power physical robotics platforms, this is an opportunity to make a tangible impact in a rapidly growing space.

Skills and requirements

• A PhD in Machine Learning, Robotics, Computer Vision, or a related field, or 2 to 5+ years of relevant industry experience.
• Strong Python programming skills, with C++ experience considered highly beneficial.
• Experience using frameworks such as PyTorch, TensorFlow, or JAX.
• Experience building scalable ML systems for production environments.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• Operate with greater reliability and precision.
• ML Engineer will contribute to the design and maintenance of data pipelines covering collection, ingestion, curation, versioning, and synthetic data generation.
• Testing, modular design, benchmarking, and maintainability will all be important parts of the role.