Job Description

Senior Staff AI Engineer - Core AI - Agentic Model

Sunnyvale, CA (Hybrid)

About Us:

At LinkedIn, our Core AI organization is dedicated to transforming the professional world through innovative artificial intelligence solutions. We aim to enhance the experiences of over a billion members worldwide, enabling them to connect, learn, and grow in unprecedented ways. We develop next generation AI technologies that understand the unique needs of professionals and proactively assist them in achieving their goals.

Core AI is embarking on a groundbreaking initiative to develop agentic models that will redefine how our members interact with the LinkedIn platform. We are building advanced AI agents that exhibit reasoning, planning, and interaction capabilities. These agents will power new features and experiences that anticipate professionals' needs, automate complex tasks, and provide personalized guidance, ultimately shaping the future of work.

Location:

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.

This role will be based in Sunnyvale, CA.

About the Role:

As a Senior Staff Engineer, you will play a pivotal role in shaping this agentic future. You will be at the forefront of designing, building, and deploying state-of-the-art agentic models that push the boundaries of what's possible in a professional network. You will lead the development of in-house large language models (LLMs) that on-top-of but surpass leading open-source models like DeepSeek, Qwen, and LLaMA in key areas such as multi-step reasoning, instruction understanding, and the ability to interact with the environment and self-correct. You will build models that learn from and adapt to our massive datasets representing the professional world.

You will provide technical leadership to a team of talented engineers, drive research directions, and collaborate closely with product and engineering teams to bring your innovations to life. You will tackle some of the most challenging problems in AI, working with massive datasets, complex user interactions, and the unique dynamics of the professional landscape.

Basic Qualifications:

• 2+ years of experience as a Lead Engineer, Staff Engineer, Principal Engineer, or similar.
• 5+ years of industry experience in AI or Machine Learning Engineering
• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience

Preferred Qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• 8+ years of overall industry/research experience, including extensive experience building and deploying large-scale machine learning models.
• Expert-level understanding of deep learning architectures, particularly Transformer models, and experience training and fine-tuning LLMs. Also, extensive experience developing models with advanced reasoning and planning capabilities, including techniques like Chain-of-Thought prompting, Tree of Thoughts, or similar approaches.
• Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch).
• Significant contributions to the field of AI, demonstrated through publications in top-tier conferences (e.g., NeurIPS, ICLR, ICML, ACL) or impactful open-source projects.
• Extensive experience developing models with advanced reasoning and planning capabilities, including techniques like Chain-of-Thought prompting, Tree of Thoughts, or similar approaches.
• Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot). Also, experience developing models that can evaluate their own progress, identify errors, and adjust their approach accordingly.
• Experience developing models that can evaluate their own progress, identify errors, and adjust their approach accordingly.
• Strong understanding of reinforcement learning (RL) techniques and their application to agent training in language-based environments.
• Experience building or working with interactive environments and simulations for agent training.
• Experience with model evaluation and benchmarking, including the development of novel evaluation methodologies.
• Experience with specific techniques for improving reasoning and planning in LLMs: e.g., program synthesis, symbolic reasoning, neuro-symbolic AI.
• Experience building and deploying conversational AI or chatbots.

Suggested Skills:

• Large Language Models (LLMs)
• Multi-step Reasoning
• Deep Learning & Reinforcement Learning
• Natural Language Processing (NLP)
• Technical Leadership

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.

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Compensation Disclosure:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: is committed to fair and equitable compensation practices. We offer competitive salaries, comprehensive benefits, and a dynamic work environment where you can make a real impact on the lives of professionals around the world.

Equal Opportunity Statement:

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here:

Please reference and for more information.

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-Documents in alternate formats or read aloud to you

-Having interviews in an accessible location

-Being accompanied by a service dog

-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

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