Machine Learning Engineer | Competitive Compensation | Algorithms

Overview

In this role you will design, train and deploy state-of-the-art ML systems tackling real-world problems across computer vision, multimodal sensing, robotics and autonomy. You work end-to-end—from experimentation to production—deploying robust AI on cloud and edge hardware. You’ll collaborate with software engineers to integrate ML into production and explore new approaches to push performance and impact.

Pay / Benefits

• competitive salary
• equity
• 7% employer pension
• private medical + dental
• free daily meals
• relocation support

Responsibilities

• Design, train and deploy deep learning models for real-world problems
• Work across computer vision, multimodal AI, perception and autonomy
• Translate research into production-ready models
• Build end-to-end AI systems from sensor data to user
• Optimize models for edge and resource-constrained hardware
• Work with large real-world and synthetic datasets
• Collaborate with software engineers to integrate ML into production systems
• Explore new approaches when existing methods fall short

Key requirements

• Experience in computer vision / robotics / autonomous systems
• Experience optimising models for GPUs or edge hardware
• Knowledge of multimodal and vision-language models
• Experience with synthetic data, simulation or large-scale real-world datasets
• Production MLOps and model monitoring
• Research published at CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS or TPAMI

• Collaborative teamwork
• Strong communication
• Problem solving and curiosity
• Deep learning
• Computer vision
• Multimodal AI

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