ERLPhase Power Technologies Ltd.

Research Scientist

• Set the standard for recommender systems at Relay
• Lead the evolution of Relay's recommender from research to production
• Design and build recommender systems that power Relay's key decisions
• Partner with Operational Research to unite recommender models and optimisation
• Contribute to Relay's research culture and develop Relay's voice in the tech community
• Build recommender systems for matching thousands of couriers to available routes
• Develop models powering large-scale optimisation of courier preferences and physical-network constraints
• Integrate economics, personalisation, and optimisation in recommendations
• Use data from Relay's apps to inform recommendation systems

Explore Applied Scientist, Ranking & Recommendations at ERLPhase Power Technologies Ltd.. Review requirements and application details.

Applied Scientist, Ranking & Recommendations

• Set the standard for causal inference at Relay
• Measure how Relay’s decisions affect each courier, today and over time
• Shape experimentation across a live, two-sided marketplace
• Adapt advanced causal inference, statistics and machine learning techniques to Relay’s problems and take them through to production
• Partner with Operational Research to embed insights and models into Relay’s network-wide optimisation
• Help build Relay’s research culture and voice in the technology community

Explore Staff Applied Scientist, Causal Inference at ERLPhase Power Technologies Ltd.. Review requirements and application details.

Staff Applied Scientist, Causal Inference

Data Scientist

• Set the standard for recommender systems at Relay
• Lead the evolution of Relay's recommender from research to production
• Design and build recommender systems that power Relay's key decisions
• Partner with Operational Research to unite recommender models and optimisation
• Contribute to Relay's research culture and develop Relay's voice in the tech community
• Build systems that match thousands of couriers to desired work while respecting physical-network constraints
• Balance courier preferences, pricing, economics, personalisation, and optimisation
• Work with machine learning, operational research, causal inference, location intelligence, and experimentation

Explore Senior Data Scientist, Personalisation at ERLPhase Power Technologies Ltd.. Review requirements and application details.

Senior Data Scientist, Personalisation

Machine Learning Engineer

• Set the standard for recommender systems at Relay
• Lead the evolution of Relay's recommender from research to production
• Design and build recommender systems powering Relay's key decisions
• Partner with Operational Research to unite recommender models and optimisation
• Contribute to Relay's research culture and develop Relay's voice in the tech community

Explore Principal Machine Learning Scientist, Recommender Systems at ERLPhase Power Technologies Ltd.. Review requirements and application details.

Open roles

Applied Scientist, Ranking & Recommendations

Staff Applied Scientist, Causal Inference

Senior Data Scientist, Personalisation

Principal Machine Learning Scientist, Recommender Systems