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python tensorflow pytorch experimentation search📋 Description
- Lead and develop a high-performing ML team (mid–Staff), fostering ownership.
- Own and evolve search ranking and recommendation systems for relevance and personalization.
- Provide technical guidance on ML system design and production architecture.
- Partner with Product and Data Science to define roadmaps and translate problems into ML solutions.
- Drive metrics like conversion and engagement while balancing experimentation and quality.
🎯 Requirements
- Proven experience line-managing ML Engineers, building high-performing teams.
- Production ML experience in Search, Information Retrieval, or Personalisation.
- Ownership of technical roadmaps and stakeholder management across product, engineering and business.
- Strong ML tooling skills: Python, PyTorch, TensorFlow; work with noisy real-world data.
- A pragmatic, impact-focused mindset prioritising outcomes and customer experience.
🎁 Benefits
- Solve meaningful problems at real scale.
- See your impact fast in a low-hierarchy, high-ownership environment.
- Grow through challenge and ownership.
- A culture built for builders: flexible, collaborative, and continuous learning.
- Equity options and shared success opportunities.
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