Engineering Director- Machine Learning, Core AI

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

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.

We are seeking a Director of Engineering, Machine Learning to lead a high-visibility, moonshot initiative focused on enabling the next generation of agentic AI products that will shape the future of work. In this role, you will work closely with C-suite stakeholders to shape and deliver cutting-edge AI systems with real enterprise impact. This is a rare opportunity to define and lead a transformational AI platform at the intersection of engineering excellence and executive vision.

What You’ll Do

• Lead the architecture, development, and scaling of advanced ML and Generative AI systems.

• Drive the design and deployment of agentic systems and robust evaluation frameworks.

• Partner with senior leadership to translate bold ideas into production-ready platforms.

• Guide teams through the full AI product lifecycle, from conception to scale.

Qualifications

Basic Qualifications

• Proven expertise in ML modeling and Generative AI systems, including agentic architectures and evaluation methodologies.

• Demonstrated experience building and scaling large-scale AI systems in production environments.

• Hands-on leadership through at least one end-to-end AI product lifecycle.

• Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields.

Preferred Qualifications

• Startup experience, including building products from 0→1 and scaling them successfully.

• Track record of operating in fast-moving, ambiguous environments with high ownership.

Suggested Skills:

* ML modeling 

* Leadership

* Generative AI  

LinkedIn is committed to fair and equitable compensation practices.   

The pay range for this role is $226,000 to $369,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.   

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. 

Additional Information

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are 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 committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• 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