Back
Tier-1 brand, metro location, mid-level ML role, and broad in-demand AI skills.
High because role demands specialized ML, recommender, and LLM expertise not easily transferable across industries.
High due to explicit 5+ years requirement, mandatory ML domain experience, and production ML engineering expectations.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end development and deployment of embeddings, retrieval, ranking, and classification models powering large-scale recommender systems.
Build and deploy scalable relevance models and create new product features using Generative AI and NLP techniques.
Collaborate with data science, product, and infrastructure teams from ideation to production; mentor junior ML engineers; represent LinkedIn in academic and industry forums.
Master’s degree OR Bachelor’s degree with 5+ years of work experience.
3+ years of experience in at least one area: recommendation systems, machine learning, statistical modeling/inference, data mining, graph/geometric deep learning, large language models, generative AI, or distributed training.
Experience programming in languages such as Python, Java, or Scala with production-quality code contributions.
Work Location: Hybrid (remote and LinkedIn office on select days) as per business needs.
Experienced ML engineer with strong expertise in recommendation systems and generative AI at production scale.
Demonstrated ability to develop scalable ML models integrating Generative AI, NLP, and large language models.
Active contributor to scientific and technical advancements, evidenced by publications or presentations in academic or industry venues.