Principal Staff Software Engineer, Machine Learning
Share
Job Location:
Monthly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
LinkedIn Marketing Solutions (LMS) helps B2B brands reach engage and convert professional audiences on a safe trusted platform. The Ads Trust Engineering charter builds scalable AI systems that improve Ads auto-review traffic quality brand safety/suitability/viewability and transparency for members and advertisers while enabling partner-led growth.
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.
Role Overview
As a Staff AI Engineer you will lead end-to-end ML systems and AI defenses that protect members and maximize advertiser ROI across LinkedIn Marketing Solutions. Youll own architecture and delivery from data pipelines to low-latency inference partner across product/infra/DS to set technical direction and raise the bar on engineering craftsmanship and operational excellence.
Responsibilities
Design build and scale ML platforms and models for ads relevance brand safety/suitability/viewability and invalid traffic (IVT) / fraud detection in both pre-bid and post-bid workflows.
Own real-time scoring and streaming pipelines with strict SLA/latency requirements; drive robust feature engineering model serving monitoring and auto-remediation.
Apply and productionize LLM/GenAI techniques (e.g. topicality classification policy defenses safety prompts) with measurable precision/recall improvements.
Lead experiment design (A/B backfills offline/online evaluation) build high-signal metrics and dashboards and partner with the data science team to quantify impact.
Drive system design for reliability and scale (caching strategies partitioning queue management backpressure control failover).
Collaborate with product policy and legal on trust/transparency and compliance requirements; influence design for customer-facing transparency (e.g. Why am I seeing this ad).
Mentor engineers; establish best practices for testing code quality observability capacity planning and safe ramps.
Champion agentic/AI-native development to improve engineering velocity (tests PR reviews CI/CD automation) and reduce operational toil.
Qualifications :
Basic Qualifications
Bachelors degree in Computer Science or related field or equivalent practical experience.
18 years of experience in ML/AI and data-intensive systems.
4 years of experience leading technical design and delivery of production ML systems.
Experience with Java Scala or Python and modern data/ML stacks (distributed systems streaming feature stores online inference).
Experience with streaming frameworks (e.g. Flink or Samza) and large-scale storage/indexing; designing resilient caches and partition strategies.
Preferred Qualifications
Experience with LLMs/GenAI (prompt design evaluation safety) and applying them to production trust/safety or relevance problems.
Background in ad tech (ads review auction dynamics measurement viewability brand safety/suitability IVT) and working with external partners/signals.
Familiarity with privacy compliance and transparency domains within digital advertising.
Track record building low-latency services at scale with rigorous SRE/observability practices (metrics tracing alerting SLIs/SLOs).
Suggested Skills
Machine Learning
GenAI/LLMs
Distributed Systems & System Design
Streaming Data
Experimentation & Observability
Additional Information :
You Will Benefit From Our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers including individuals with disabilities. For more information on our equal opportunity policy please visit Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
Key Skills
- Continuous Integration
- Docker
- Jenkins
- Python
- System Design
- Agile
- C/C++
- Go
- Systems Engineering
- Software Development
- Java
- Distributed Systems
About 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 ... View more
