Sr. Software Engineer, Machine Learning

LinkedIn; Karnataka; Hybrid; INR 5,500,000 - 9,000,000; Full time

Job summary

LinkedIn Bengaluru hosts Enterprise AI efforts delivering GenAI-powered tools to Hirer, Learning and Enterprise Jobs, focusing on scalable ML solutions.

You will own end-to-end model development, embeddings, retrieval, ranking and classification, and collaborate with cross-functional teams to deploy production-ready systems.

Strong background in ML, NLP and large language models, with 5+ years of hands-on experience, is required for this lead role in a hybrid work setting.

Qualifications

• Master’s degree or Bachelor’s with 5+ years of experience.
• 5+ years in ML, recommender systems, or related areas.
• Experience with large language models, generative AI and distributed training.

Responsibilities

• Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in production.
• Build and deploy relevance models powering recommender systems and personalized intent engines.
• Explore ML ranking and NLP techniques and create product features using Generative AI and NLP.
• Design with scalability and performance in mind across engineering choices.
• Collaborate with data science, product, and infra teams to take ideas from conception to production.
• Mentor junior ML engineers in advanced ML techniques.
• Represent LinkedIn in academic and industry circles.

Skills

Machine Learning

Deep Learning

Generative AI

Large Language Models

Python/Java/Scala

Education

Master’s degree

Bachelor’s degree +5 years

PhD (preferred)

Tools

Python

Java/Scala

Big data tooling

Job description

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

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+ lines of business across Hirer, Learning, and Enterprise Jobs. The Hirer AI team connects individuals to opportunities and is building the next-generation recruiter platform with GenAI-powered tools such as AI-assisted search and automated InMails. A new charter, Hiring Assistant, will revolutionize recruiting workflows and is LinkedIn’s #1 priority.

The work in the team includes building, tuning, and applying generative AI models where relevant; working with OpenAI 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 scientists and engineers, you will experience the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

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 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.

Basic Qualifications

• Master’s degree OR Bachelor’s 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, or distributed training.

Preferred Qualifications

• Ph.D. in computer science, statistics, engineering, mathematics, or a similar quantitative discipline.
• 5+ 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.
• Understanding of standard programming and software engineering practices.
• Proven track record of publishing at academic and industry venues.
• Proficiency in programming (e.g., Python, Java, Scala), including production-quality code contributions.

Suggested Skills

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

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 https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global 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: https://legal.linkedin.com/candidate-portal.

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 https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice and Compliance Posters for Job Candidates

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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 https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice and Compliance Posters for Job Candidates

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.