Manager, Software Engineering, Machine Learning

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

Team Overview:

The AI Agent Platform & Expertise Graph Team is a self-embedded group of application engineers and AI engineers building the core agentic platforms and product features that power LinkedIn's hiring and job-seeker experiences. We sit at the intersection of applied AI and product engineering, owning systems end-to-end from foundational platforms to member-facing experiences. We're building LinkedIn's Expertise Graph, a new long-term moat that lets professionals demonstrate expertise once and reuse it everywhere, and a new AI Assessment Platform powering AI interviews and skill assessments across LinkedIn hiring and seeker products. We're looking for an engineering leader to build and grow this team and drive both bets end-to-end. You bring strong AI depth that guides architecture across agentic systems, LLMs, and ML platforms, paired with sharp product sense to translate ambiguous, high-stakes problems into experiences members love. You've built and scaled high-performing teams, set technical direction in fast-moving domains, and thrive partnering with product, design, and other cross-functional teams. Most of all, you're energized by owning a defining, greenfield bet that reshapes how the world hires.

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 job is based in Sunnyvale, CA. 

Key Responsibilities:

Lead and inspire the team:
Manage and grow a high-performing team of researchers/applied scientists, and engineers. Attract, mentor, and develop diverse talent while fostering an inclusive, collaborative environment where people feel empowered to share ideas, take smart risks, and grow into technical leaders.

Set strategy and direction:
Translate product and business needs into a clear, focused technical roadmap. Ensure the team’s day-to-day work aligns with LinkedIn’s mission and long-term priorities. Partner with senior leadership to shape long-range AI and infrastructure strategy.

Ensure scalability and efficiency:

Collaborate with infrastructure and platform teams retrieval and serving system performance optimizations through advanced techniques like GPU-powered retrieval-as-ranking optimization, adaptive caching, and parameter-efficient fine-tuning. Maintain high standards for reliability, scalability, and latency.

Drive alignment and cross-functional collaboration:
Work closely with partner teams to identify shared opportunities, align on long-term goals, and maintain consistent progress. Address misalignments proactively with clarity, empathy, and data-driven reasoning.

Promote innovation and high-quality execution:
Create a culture that encourages experimentation, curiosity, and continuous improvement. Ensure the team adheres to strong engineering and scientific practices, enabling rapid iteration through A/B testing and rigorous evaluation.

Qualifications

Basic Qualifications:

• BA/BS in Computer Science or other technical discipline, or related practical technical experience

• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training

• 5+ years of related industry experience in software design, development, and algorithm related solutions

• 1+ years of experience in software engineering/technical engineering management and people management

• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training

• Hands on experience in data modeling and machine learning

Preferred Qualifications:

• Master’s degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related field

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