Total 65 job vacancies by LinkedIn

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.

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. You’ll 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.

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.

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 eval), 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.

This role will be based in Bangalore, India.

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.

Serving more than 1 Billion members worldwide, the Trust team's mission is to create safe, authentic, and transparent experiences so individuals and organizations can be productive and successful. As a Senior Product Manager for Content Abuse Prevention, you will be responsible for building detection systems, safety features and product experiences to protect the integrity of content on the platform. This will be done at scale across all of the LinkedIn apps. You will be responsible for working with our AI, data science, infrastructure, operations, marketing, design, and policy teams to define the strategy and roadmap to detect, remove and mitigate the impact of abusive content on LinkedIn. It is a highly visible and impactful role that is crucial for LinkedIn to accomplish its mission.

Responsibilities:

• Work with AI, data scientists, infrastructure engineers, operations, designers, policy to lay out a comprehensive strategy and build defenses to detect & remove abusive content on the platform.

• Define and drive execution of the roadmap in collaboration with partner teams, making trade-offs based on impact and risks

• Develop metrics that inform the success of safety efforts, work with the engineering teams and cross-functional stakeholders to launch defenses, features and product solutions.

• Build robust processes for cross-team collaboration and effectively manage large-scale product safety improvement projects to protect LinkedIn from abusive content.

We are looking for a Senior Staff Machine Learning Engineer to play a pivotal role as a technical leader within the AI team. This role goes beyond building models - you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.

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.

Responsibilities

• Lead the design, development, and deployment of large-scale machine learning systems across areas such as ranking, recommendation systems, personalization, generative AI, reinforcement learning, and large language models.
• Define and drive the technical roadmap and architecture for end-to-end AI systems, ensuring scalability, performance, reliability, and maintainability.
• Research, fine-tune, and adapt large language models (LLMs) and build and productionize advanced AI solutions, including foundation models and agentic systems, capable of reasoning, decision-making, and contextual intelligence.
• Drive best practices in experimentation, model evaluation, fairness, explainability, and system robustness.
• Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.
• Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.
• Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.
• Represent LinkedIn in external venues (papers, conferences, workshops) by showcasing advances in applied AI research and engineering.

We are looking for a passionate, entrepreneurial engineering leader to join the Bangalore engineering team. In this role, you will be part of LinkedIn's India initiatives team responsible for leading a team of engineers to develop new products and services and scale existing LinkedIn's products for the fast-growing Indian market. You will also partner with other teams across the company to ensure a consistently awesome experience across platforms and products.

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

Responsibilities

• You will manage the performance and career development of a large team of engineers and managers, and own significant parts of LinkedIn products that require design, architecture, and coding.
• You will participate with senior leadership in developing a long-term technology roadmap.
• You will be a role model and professional coach for engineers and managers 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 manage teams to scale distributed applications, make architectural trade-offs, review code, and deliver with speediness and quality.
• You will produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• You will also be interacting closely with product and other cross-functional partners to help create roadmaps that can lead to a significant impact on our products.

This role will be based in Bangalore, India.

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.

Serving more than 1 Billion members worldwide, the Trust team’s mission is to create safe, authentic, and transparent experiences so individuals and organizations can be productive and successful. As a Principal Product Manager for Content Abuse Prevention, you will be a visionary leader responsible for E2E execution and the long term strategy of our global detection systems and safety frameworks.

You won't just manage a roadmap; you will help define and reshape the North Star for how LinkedIn protects the integrity of content across our entire ecosystem. This is a high-leverage, high-visibility role requiring the ability to navigate complex geopolitical landscapes, emerging AI threats, and large-scale infrastructure challenges. You will serve as a lead orchestrator across AI Research, Data Science, Policy, Legal, and Global Operations to ensure LinkedIn remains the most trusted professional platform in the world.

The ideal candidate for this role:

• Has Trust, Safety, Integrity or Fraud Prevention expertise, with a track record of building platform-level safety, moderation, or abuse-prevention solutions.

• Has experience leading products built on AI/ML systems from the ground up.

• Can drive multi-year, high-impact strategies, ensuring measurable improvements to developer efficiency and defense agility 

• Operates with autonomy and influence, leading large-scale, cross-organizational initiatives and has a track record of influencing organizational change.

• Excels at navigating complex cross-org dynamics, balancing business, policy, and technical constraints to ensure safety at scale.

• Helps us raise the bar for the Product Management craft at LinkedIn by mentoring senior PMs and fostering a culture of product excellence and member-first thinking.

• This is an opportunity to lead a critical area of Trust, shaping the future of content integrity, anticipating emerging abuse vectors, including synthetic media and other sophisticated attacks.

Core Responsibilities include leading Vision and Strategy, driving strong execution with engineering, Data science, Design and key stakeholders, and ensuring product and operational excellence of the charter at all times.

LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.

About the team -
The Trust Data Science team at LinkedIn works in close partnership with the trust engineering, content moderator  and product teams to identify opportunities to develop and enhance LinkedIn member experiences. A few examples include: enabling our trust & security team (content reviewers) to be effective through data driven insights and minimize damage to our members, optimize member account access experience while defending attacks, provide insights to improve feed content quality on site, analyze trust/security features’ performance through product A/B testing, etc.

You will have the opportunity to work with and lead highly passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.

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.

Responsibilities:

• We inform product strategy, influence the product roadmap, and guide product decisions by
• Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
• Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
• Designing and analyzing experiments to test new product ideas.
• Developing models and data-driven solutions that add material lift to principal performance metrics.

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.

As a Staff Software Engineer, you will be a key technical leader and role model within the team. We are looking for someone who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes smart trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. This leader will foster LinkedIn's culture and values around transformation, collaboration and results.

Responsibilities

• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
• Produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
• You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• Identify, leverage, and successfully evangelize opportunities and collaborate with cross functional teams to design and build scalable platforms/products/services/tools and to improve engineering productivity in the organisation.
• Work with peers across teams to support and leverage a shared technical stack

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.

As a part of this world-class software engineering team, you will be charged with architecting, designing, developing, and supporting some Internet-scale features and infrastructures at LinkedIn. The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability.

Responsibilities

• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.

This role is based in Bangalore

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.

Within LinkedIn Marketing Solutions (LMS), Ads Billing & Payments is a foundational part of the advertiser experience. When billing is seamless, transparent, and trustworthy, advertisers activate faster, scale confidently, and stay longer. When it fails, it is one of the top drivers of churn, paused spend, and support friction.

The Opportunity

We are hiring a Senior Product Manager to lead Ads Billing & Payments from our Bangalore office.

This is a high-impact, platform-level role at the intersection of:

• Monetization & Revenue Growth

• SMB Activation & Retention

• Global Payments & Compliance

• AI-driven, agentic advertiser workflows

You will define and drive the strategy for how advertisers, from first-time SMBs to global enterprises,  set up accounts, manage payment methods, receive invoices, resolve billing issues, and interact with LinkedIn’s financial systems.

This role is critical to:

• Accelerating advertiser activation

• Reducing payment friction and failures

• Increasing retention and lifetime value

• Enabling new commercial models and AI-native ad products

You will operate across LinkedIn Marketing Solutions (LMS), LinkedIn Billing Platform (LBP), Finance, Risk, and Trust — balancing user experience, technical complexity, and regulatory rigor.

Responsibilities

• Set Strategy & Vision

  • Define and drive a multi-year strategy for Ads Billing & Payments aligned to LMS growth goals.

  • Reimagine billing experiences for AI- and agent-powered advertising workflows.

  • Identify and prioritize the biggest friction points impacting activation, spend, and retention.

• Build Scalable Platforms

  • Lead product planning across billing surfaces, invoicing systems, payment methods, APIs, and financial account management.

  • Drive end-to-end product development from concept through launch and iteration.

  • Partner with engineering on system architecture and API design to ensure scalability and global readiness.

• Drive Business Impact

  • Define clear product and business metrics (activation rate, payment success rate, revenue recovery, retention, etc.).

  • Use data and experimentation to reduce payment friction and unlock revenue growth.

  • Evaluate competitive landscape and global payments trends to inform roadmap decisions.

• Lead Cross-Functional Execution

  • Partner closely with Engineering, Design, Data Science, Finance, Sales, Risk, Legal, Trust, Business Operations, and Product Marketing.

  • Communicate product vision, tradeoffs, and outcomes clearly to executive stakeholders.

  • Balance regulatory requirements, fraud mitigation, and advertiser experience.

As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will drive the technology vision and create business impact by putting to use your passion for very large-scale distributed systems and software as services and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open-source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.

This role will be based in Bangalore, India. 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.

Responsibilities

• You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes data processing pipelines, pubsub systems, observability, compliance, etc.
• You will design the right interfaces/APIs for long term evolution of the services.
• You will be responsible for the high availability, reliability, scalability and performance of these systems
• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
• You will invest in growing junior engineers, developing design and craftsmanship skills and culture.
• You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders in HeadQuarters to drive intra-team alignment.
• You will be a primary domain expert to influence technology choices.

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 role is based in Bangalore.

As Senior Business Systems Analyst you will be supporting the Source to Pay business & Record to Report process. In this role, you will be a member of the Business Applications team and will be responsible for designing and supporting existing financial systems, translating business requirements into system solutions, preparing design specifications and documenting applications of varying complexity following the predefined standards and best practices.  
  
The Sr. BSA will work closely with Global process owners, regional business process owners, business process analysts, SMEs, product and commerce engineering teams and global Business Applications team to understand the business needs to provide new capabilities and functionality, resolve issues and ensure standards and procedures are followed and maintained. Ideal candidates will have strong hands-on experience with demonstrated leadership in handling finance cross functional projects. This position will develop and maintain an in-depth understanding of each business unit's priorities, their corresponding strategy, as well as the supporting IT strategies. This role will work closely with BizApps leadership as well as foster relationships with stakeholders within key business units sponsoring initiatives. 

Responsibilities  

• Provide functional Oracle R12 EBS application support to internal Business customers in the areas of Record to Report and Source to pay including GL, Cash Management, Fixed assets, Procurement, Supplier management, accounts payable plus related customizations, extensions, and inbound/outbound interfaces to boundary systems.  

• Support Business users and help to troubleshoot simple to complex application issues and develop creative solutions to support business needs.  

• Create end-to-end future-state functional designs, identify system and requirements gaps, and recommend solutions. Review functional design with stakeholders and obtain approvals.  

• Partner with technical teams to translate functional design into technical solutions.  

• Support project planning and delivery through assessment of effort, risk, issue resolutions, and project closure.   

• Perform project management for small to mid-size initiatives. 

• Conduct knowledge transfer and training sessions with the Business and Application teams to enable new functionality and adoption.  

• Develop and execute unit test plans, participate in system, regression, CRP, and UAT testing to ensure solutions meet requirements. 

• Create and review configuration documentation (e.g., BR100) with the Business Applications project team. Configure systems to meet business requirements.  

• Ensure SOX and compliance standards are met in all work performed.  

• Monitor effectiveness of systems, policies and procedures and make appropriate recommendations to ensure daily operations are efficient, and SLAs are met.  

• Knowledge on month-end and year-end close activities and ongoing maintenance of Oracle ERP systems, including related interfaces. 

• Collaborate as part of a team to ensure consistent communication with customers, clearly articulating complex concepts verbally and in writing.  

LinkedIn Marketing Solutions (LMS) is a leader in B2B digital advertising, helping companies deliver the right message, to the right audience, on a safe and trusted platform. Through our suite of innovative advertising solutions, we provide customers high reach and ROI. 

Ads Trust Engineering team within LMS is responsible for creating a safe and trusted ads platform for members, advertisers and partners to get the best return on investment towards the ad revenue spend objectives on Linkedin. This team provides scalable solutions using AI models towards accurate and faster review SLAs, improving Ads traffic quality as well as build best in the industry brand safety, suitability and viewability solutions. This team is also responsible for building and scaling solutions and experiences with 3rd party partners for LinkedIn through developer platform APIs.

As a Principal Staff Software Engineer, you will be a key technical leader and role model within the team. We are looking for someone who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes smart trade offs to help achieve the goals of individual teams as well as LinkedIn’s broader goals. This leader will foster LinkedIn’s culture and values around transformation, collaboration and results.

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. 

Responsibilities: 

• You will build and ship software, drive architectural decisions and implementation across LMS teams.

• You will drive the adoption of cutting-edge solutions and methods to enable innovative marketing solutions products.

• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.

• You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy.

• You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.

• You will act as one of the primary domain experts to influence technology choices.

• You will lead by example to build a culture of craftsmanship and innovation.

• You will be a role model and professional coach for engineers with a strong bias for action.

As part of our world-class software engineering team, you will be charged with building the next-generation information retrieval infrastructure and platforms for LinkedIn, including but not limited to: search systems, vector databases, system infrastructure, and other AI platform components. You will drive the technology vision and create business impact by putting to use your passion for very large scale information retrieval systems and software as a service and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.

Responsibilities

• You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes compute engines, processing pipelines, storage, observability, compliance.etc.
• You will design the right interfaces/APIs for long term evolution of the services.
• You will be responsible for the high availability, reliability, scalability and performance of these systems
• You will invest in growing junior engineers with a high craft bar.
• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
• You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders to drive intra-team alignment.
• You will be a primary domain expert to influence technology choices.

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.

As a part of this world-class software engineering team, you will be charged with architecting, designing, developing, and supporting some Internet-scale features and infrastructures at LinkedIn. The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability.

Responsibilities

• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.

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. You’ll 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.