Machine Learning Engineer (Recsys)
MLabsUnited Kingdom16 hours ago
Full-timeOther
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Machine Learning Engineer - Recommendation Systems
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 over $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.
Key Responsibilities:
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
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 over $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.
Key Responsibilities:
- 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
- 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
- Experience in real-time serving of ML models at massive scale
- Knowledge or direct experience within the crypto or Web3 industry
- Compensation: Competitive salary ($250K - $300K)
- Equity: Negotiable equity opportunities
- Upside: Significant upside potential based on the company's high-growth trajectory and market position
- Impact: Direct opportunity to build core algorithms for a platform that has generated hundreds of millions in revenue and is leading innovation in the crypto social space
- Culture: Join a team of elite builders in a fast-paced environment that is actively pushing the boundaries of the industry
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
Key Skills
Ranked by relevanceReady to apply?
Join MLabs and take your career to the next level!
Application takes less than 5 minutes