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Manager, Software Engineering, CoreAI (HALO)

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At a Glance

Location
Mountain View, California, United States
Employment
Full-time
Experience
5+ years
Department
Engineering
Posted
2026-03-05T08:19:52.227Z

Key Requirements

Required Skills

Machine Learning

Domain Knowledge

  • Engineering

Requirements

Basic Qualifications:

5+ years of related industry experience in software/platform design, development, and related solutions

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

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

Preferred Qualifications:

2+ years of experience as a Technical Lead (Staff or Manager)

Compensation & Benefits

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

Responsibilities

Team Overview:

LinkedIn’s Core AI organization is dedicated to  transforming the professional world through innovative solutions, including advanced models, agents, and AI systems.

Our ‘HALO’ Evaluation Engineering team builds core technology that powers LinkedIn’s model and agent evaluation ecosystem. This is a horizontal and deeply cross-functional team empowering product, linguists, and operations partners to evaluate new AI solutions quickly, efficiently, and at scale.

We’re building a next-generation AI evaluation and optimization platform that makes AI systems measurable, reliable, and continuously improving in production. As AI systems become more autonomous and agentic, evaluation can’t rely on manual labeling and disconnected tools. Our team is creating a unified intelligence layer that connects human feedback, AI judges, synthetic data, training pipelines, and real-time monitoring into a closed-loop improvement engine — defining how AI agents are validated, shipped, and improved at scale.

Team Scope & Future Work

Golden Dataset Generation Tools – Automate creation, labeling, quality control, and versioning of high-quality evaluation datasets from specs and production data.

About the Company

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.