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- Develop and optimize recommendation models that power core features.
- Leverage vast, complex datasets to generate insights for product development and business strategy.
- Work closely with cross-functional teams to integrate and maintain these models.
- Develop and deploy cutting-edge recommender systems using Python and the latest libraries.
- Champion advancements in NLP and Large Language Models (LLMs) to enhance features.
- Tackle user matching, content discovery, data categorization, and more.
- You're a recommender systems specialist with proven experience in deploying them at scale.
- You possess a deep understanding of recommender systems, including recent advancements.
- You have 3+ years of experience in ML engineering, data engineering, DevOps, or MLOps.
- You're passionate about AI/Deep Learning and its real-world applications.
- You thrive in collaborative environments and excel at communication.
- You're a problem-solver with an algorithmic mindset.
- Experience in Big Tech, SaaS, E-commerce, or Ad Networks.
- Knowledge of graph data structures, path-finding algorithms, and link prediction.
- Startup mentality and a drive to push boundaries.
- Familiarity with the social networking landscape.
- A degree in Computer Science, Data Science, Mathematics, or a similar field.
- You prioritize theory over practical application.
- You require constant direction.
- You shy away from ambitious goals.
Machine Learning Engineer - London Area, United Kingdom - MBN Solutions
Description
Machine Learning Engineer – Social Network – Remote UK - £80k
Be a Part of Something Revolutionary
We're a collaborative and ambitious team building a groundbreaking new social network. As a Machine Learning Engineer, you'll play a key role in shaping its future.
What You'll Do:
You're a Perfect Fit If:
Bonus Points for:
This Role Isn't For You If:
Join us and build the future of social interaction