Sr. Staff Software Engineer, Machine Learning

We are looking for an Senior Staff Machine Learning Engineer to play a pivotal role as a technical leader within the LSS AI team. This role goes beyond building models- you will set the technical direction own the AI roadmap and lead initiatives that push the boundaries of whats possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale partnering across engineering product and research to deliver transformative AI solutions.

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.

Responsibilities

• Lead the design development and deployment of state-of-the-art ML systems across search recommendations generative AI reinforcement learning and LLMs for Sales Navigator.
• Define and drive the technical roadmap and architecture for end-to-end AI systems within LSS ensuring scalability reliability and innovation.
• Research fine-tune and adapt large language models (LLMs) and build agentic AI systems that enable reasoning planning and decision-making for sales professionals.
• Partner with product design and other engineering teams to align AI solutions with business strategy and maximize impact.
• Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.
• Mentor and guide engineers fostering a culture of craftsmanship innovation and technical excellence.
• Represent LinkedIn in external venues (papers conferences workshops) by showcasing advances in applied AI research and engineering.

Qualifications :

Basic Qualifications

• MS/PhD degree in Computer Science or related technical discipline or equivalent practical experience.
• 12 years of experience in machine learning artificial intelligence or related fields.
• 8 years in an architect or technical leadership role driving large-scale AI initiatives.
• Hands-on experience with end-to-end ML lifecycle: data pipelines training deployment monitoring and optimization.
• Expertise in at least one of: LLMs generative AI search/recommendations reinforcement learning or large-scale deep learning.

Preferred Qualifications

• 15 years of experience building and scaling machine learning systems in production.
• Proven experience in pre-training and fine-tuning LLMs including domain-specific adaptations.
• Strong software engineering skills (Python Java C or similar) with the ability to design robust scalable systems.
• Track record of influencing product and technical strategy through AI/ML innovation.
• Publications patents or open-source contributions in machine learning NLP or related areas.

Suggested Skills

• Machine Learning
• Large Language Models
• Generative AI
• Search & Recommendations
• Reinforcement Learning
• Technical Leadership
• Cross-Functional Collaboration

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: 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