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Principal Machine Learning Scientist, Recommender Systems
Contract type
Ongoing
Work mode
Hybrid · London, United Kingdom
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
Principal Machine Learning Scientist at Relay responsible for leading the evolution of the company's recommender systems from research to production, powering decisions that match couriers to delivery work.
At a glance
- Work mode
- Hybrid · London, United Kingdom
What you'll do
- Set the standard for recommender systems at Relay.
- Lead the evolution of Relay's recommender from research to production.
- Design and build the 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 our voice in the tech community.
What we're looking for
- Have built recommender systems at scale, owned them in production, and led their direction.
- Bring deep expertise in recommender systems, reinforcement learning and LLMs, whether from a PhD, publications, or years at the frontier in industry.
- Think in experiments, and let evidence guide decisions.
- Are energised by open-ended problems, and know how to make them tractable.
- Collaborate generously, and explain complex ideas simply.
Your team
Science
Science at Relay is the brain of the operation: machine learning, operational research, recommender systems, causal inference, location intelligence and experimentation, working together to decide how every parcel gets delivered.
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About Relay
Relay is fundamentally reshaping how goods move in an online era, backed by Europe's largest-ever logistics Series A ($35M) led by deep-tech investors Plural, and a recently closed Series B ($95M).
Mission
To free commerce from friction
Key facts
- ~160 people
- logistics
- Backed by Europe's largest-ever logistics Series A ($35M) led by deep-tech investors Plural
- Recently closed Series B ($95M)
- Scaling faster than 99% of venture-backed startups
- ~160 people, around half in engineering, product and data
- 45+ advanced degrees across computer science, mathematics and operations research
- Thousands of data points captured, calculated, analysed and predicted for every single parcel handled
Partners & customers
Plural
What they value
- Aim with Precision
- Play to Win
- 1% Better Every Day
- All In, All the Time
- People-Powered Greatness
- Grow the Whole Pie