Software Engineer, Machine Learning

About the role

The Hirer AI team at LinkedIn builds next-generation recruiter platforms using GenAI to connect individuals with opportunities. This role involves developing, tuning, and deploying large-scale machine learning models for search, ranking, and recommendation systems. The position is based in Bengaluru, Karnataka, India, and operates on a hybrid work model.

What you’ll do

• Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
• Build and deploy relevance models that power recommender systems and personalized intent engines.
• Explore novel approaches for ML ranking and downstream impact modeling, and create new product features by leveraging techniques in Generative AI and NLP.
• Design with scalability and performance in mind across engineering choices.
• Collaborate with partner data science, product, and infrastructure teams to take ideas from conception to production.
• Mentor junior ML engineers in applying advanced ML techniques to problems such as entity resolution, lead scoring, and search relevance.
• Represent LinkedIn in academic and industry circles by showcasing our innovation, data products, and scientific expertise.

What you’ll bring

• Master’s degree OR Bachelor’s degree with 5+ years of work experience.
• 3+ years of experience in recommendation systems, machine learning, statistical modeling/inference, data mining, graph/geometric deep learning, large language models, generative AI, or distributed tra

Nice to have

• Ph.D. in computer science, statistics, engineering, mathematics, or a similar quantitative discipline.
• 3+ years of hands-on experience in recommendation systems, machine learning, statistical modeling/inference, data mining, or graph/geometric deep learning.
• Experience with large language models, generative AI, and distributed training.
• Proficiency in programming (e.g., Python, Java, Scala), including production-quality code contributions.
• Proven track record of publishing at academic and industry venues.

Skills

Education

Master’s degree OR Bachelor’s degree with 5+ years of work experience.