Senior AI Engineer, Network AI

Position: Senior Staff AI Engineer, Network Growth AI
Company Description

Linked In 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

Location:

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

This role will be based in Sunnyvale, CA.

Team Overview:

The Network Growth and Relationship AI team is at the forefront of creating cutting-edge, AI-powered solutions that drive meaningful connections and foster professional growth. Our team builds scalable machine learning models and advanced AI systems that help millions of Linked In members expand their networks, discover new opportunities, and deepen professional relationships. By leveraging vast data and deploying sophisticated algorithms, we enhance member experience with personalized recommendations, insights, and connections that transform their career paths.

Our recommender systems have adopted the latest modeling techniques including Sequence Modeling, LLM, E , GNN, etc, and we're continuing our journey as the modeling innovation pioneer at Linked In to build both ranking and retrieval models that impact the entire Linked In ecosystem.

The Network Growth AI team is highly impactful and is in charge of optimizing member value, helping them to build relationships on Linked In and advance their professional network. The team works in close collaboration with the product, engineering and data science team and has a very exciting roadmap ahead. If you are looking to lead a highly visible team that operates at a fast pace, works on exciting research problems and delivers great results every quarter, Network Growth AI is the place you should look.

We also publish in top machine learning conferences.

Responsibilities:

As a senior technical leader in the Network Growth AI team, you will directly impact member experience through optimizing the above dimensions. You will be responsible for leading a team of scientists and machine learning engineers that build and own personalization algorithms, models, and systems. You will work with some of the best engineers and scientists on state-of-the-art technology that leverages truly big data.

You will be leading the core modeling initiatives in the team, including our efforts in Generative Recommendation, Large Language Models, Graph Neural Networks, and Sequential Models. You are expected to challenge the status quo on AI, Engineering, and Product fronts, propose innovative new ideas, and lead these new initiatives to production to further improve our member experience and drive value.

* You will be responsible for team's core modeling effort and our mid/long term direction

* As a hands-on tech lead, you are expected to actively participate in key technical and design discussions with technical leads in the team.

* Collaborate with platform engineering, product, data science and partner teams to design machine learning solutions to power Network Growth ecosystem and optimize member experience.

* Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.

* You will be expected to be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.

* You will work with peers across teams to support and leverage a shared technical stack.

* You will coach the team to produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

Qualifications

Basic Qualifications:

* 2+ years of experience as a Technical Lead

* 5+ years of overall industry experience in AI / Machine Learning

* Bachelor's, Master's, or PhD Degree in Computer Science, Machine Learning, or related technical discipline or equivalent practical experience

Preferred Qualifications:

* 10+ years of industry experience.

* 4+ years of technical leadership (Staff+) experience, including recent experience at the Senior Staff / L7 / Principal Engineer level.

* Ph.D. in Computer Science, Machine Learning, Natural Language Processing, or a related discipline.

* Prior experience with large scale ML data infrastructure

* Experience with developing and designing production scale recommender system products.

* Published work in academic conferences or industry circles.

Suggested

Skills:

* AI Recommendation…