Senior Software Engineer, Machine Learning

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

The Enterprise AI team is responsible for 7B$ LOBs at LinkedIn across Hirer Learning and Enterprise Jobs verticals. The Hirer AI team is responsible for connecting individuals to opportunities and is building the next generation recruiter platform consisting of GenAI powered tools such as AI assisted search and automated inMails. The exciting new charter of Hiring Assistant which will revolutionize recruiting workflows is also LinkedIns #1 priority.

The work in the team includes building tuning and applying generative AI models where relevant working with Open AI to power GAI applications where relevant and innovating on cutting edge search and recommendation models to retrieve the best candidates for a given role. As part of a new and fast growing team of top-notch scientists and engineers you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.  The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

Responsibilities

• 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 our various recommender systems and personalized intent engines.  
• Explore novel approaches for machine learning ranking and modeling downstream impact as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI NLP.  
• Keep scalability and performance in mind through your design and engineering choices.  
• Work directly with partner data science product and infrastructure teams to take your ideas from conception to production.  
• Mentor junior ML engineers in applying advanced machine learning techniques to core 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 in bringing game-changing data products to market.  

Qualifications :

Basic Qualifications:

• Masters degree OR Bachelors degree with 5 years of work experience.  
• 5 years of experience in at least one of the following areas: Recommendation systems Machine Learning Statistical modeling/inference Data mining Graph/geometric deep learning Large Language Models Generative AI Distributed Training.  

Preferred Qualifications:

• Ph.D. in computer science statistics engineering mathematics or similar quantitative discipline.  
• 5 years of hands-on experience working on Recommendation systems Machine Learning Statistical modeling/inference Data mining Graph/geometric deep learning.  
• Large Language Models Generative AI Distributed Training.  
• Understanding of standard programming and software engineering practices.  
• Proven track record of publishing at academic and industry venues.  

Suggested Skills

• Machine Learning   
• Deep Learning   
• Generative-AI   
• Large Language Models   

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Additional Information :

India Disability Policy 

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers including individuals with disabilities. For more information on our equal opportunity policy please visit Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :

No

Employment Type :

Full-time