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About the Role

AI is at the core of how LinkedIn connects more than a billion members to opportunity across jobs, sales, marketing, content, and trust platforms. As a Senior AI Software Engineer, you will own end-to-end machine learning systems that run in production at LinkedIn scale. You will own the recommender and classification system that power LinkedIn’s core products, covering the full product lifecycle from translating product requirements into system design, training models, driving experiments, and managing GPU fleets.

Responsibilities

Own end-to-end machine learning systems that run in production at LinkedIn scale.
Own the recommender and classification system that power LinkedIn’s core products.
Translate product requirements into system design.
Train models to power the system.
Drive experiments that prove efficacy.
Manage GPU fleets that run systems at scale in milliseconds.
Own a significant AI workstream end to end and ship at least one model-based system to a measured impact on member or business value.
Become the go-to cross-team point of contact for your domain.
Onboard or mentor at least one other engineer onto the stack.
Drive a meaningful efficiency or quality improvement backed by data.
Operate systems reliably as on-call and root-cause at least one significant production regression.

Requirements

BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience.
2+ years experience in software design, development, and algorithm related solutions.
2+ years experience in programming languages such as Java, Python, etc.
2+ years experience with machine learning, data mining, and information retrieval or natural language processing.
4+ years of relevant AI/Machine Learning experience.
MS or PhD in Computer Science or related technical discipline.
Experience with PyTorch or similar Deep Learning frameworks.
Experience with Spark for data manipulation and transformation.
Experience with A/B testing at scale in a consumer-facing product.
Experience with AI code development (i.e ClaudeCode, Codex, Copilot).
Experience adapting pre-trained LLMs to production systems including fine-tuning and student-teacher model paradigms.
Experience applying AI/ML to recommender systems at scale.
Published work in academic conferences or industry circles.

Skills

Machine Learning
Deep Learning
Big Data
GAI
LLMs

Location

New York City

Work Type

Hybrid

Experience Level

Senior
IC3/8

Education Level

BA/BS Degree in Computer Science, Machine Learning or related technical discipline
MS or PhD in Computer Science or related technical discipline

Salary/Compensations

$144,000 - $236,000

Benefits

Generous health and wellness programs
Time away for employees of all levels
Annual performance bonus
Stock
Other applicable incentive compensation plans

About the Company

LinkedIn is the worlds 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 are 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.

Equal Opportunity

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 and describe the specific Accommodation requested for a disability-related limitation.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.