Machine Learning Engineer (Recsys)

Location: London (Office)

Compensation: $250K - $300K

We are a high‑growth software development company and a team of elite builders, known for our contributions to one of the largest crypto social networks globally. Our pioneering platform allows anyone to create a coin in under one minute for free, establishing itself as the home for memecoin creation and trading on Solana. The platform has generated more than $700 million in revenue and is focused on building the future of social crypto. We are seeking a Machine Learning Engineer to build and scale our core recommendation systems.

You will be responsible for designing, building, and deploying the machine learning systems that drive user discovery and engagement across our rapidly growing platform. This is a high‑impact role requiring end‑to‑end ownership of critical features, ensuring our models scale effectively to handle significant real‑time volume and user activity.

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• Recommendation Systems: Design and implement systems to surface and suggest coins to users for enhanced discovery
  
• Engagement Models: Develop sophisticated models for notification recommendations and for ranking comments and replies to optimize user engagement and content quality
  
• Search Infrastructure: Build and maintain a highly effective search system to improve user navigation and coin discovery
  
• Project Ownership: Lead ML projects end‑to‑end, from initial research and prototyping to production deployment and monitoring
  
• Collaboration: Work closely with product and engineering teams, translating business needs into high‑performance ML solutions
  

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• Technical Proficiency: Must be proficient in Python and SQL
  
• ML Frameworks: Strong experience deploying ML frameworks in a major cloud environment (e.g., GCP or AWS is preferred)
  
• ML Expertise: Strong understanding of core Machine Learning domains, including NLP, computer vision, and transformer models
  
• Project Leadership: Proven experience in leading projects end‑to‑end and strong communication skills
  
• Startup Experience: Experience at a strong startup or scale‑up known for rapid development and high technical standards
  

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• Experience in real‑time serving of ML models at massive scale
  
• Knowledge or direct experience within the crypto or Web3 industry
  

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• Competitive salary ($250K - $300K)
  
• Equity opportunities: negotiable
  
• Significant upside potential based on the company's high‑growth trajectory and market position
  
• Direct opportunity to build core algorithms for a platform that has generated hundreds of millions in revenue and is a leader in the crypto social space
  
• Fast‑paced, elite‑builder team culture
  

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