Total 24 job vacancies by LinkedIn

We are looking for a Staff Machine Learning Engineer to play a pivotal role as a technical leader within the LSS 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 state-of-the-art ML systems across search, recommendations, generative AI, reinforcement learning, and LLMs for Sales Navigator.
• Define and drive the technical roadmap and architecture for end-to-end AI systems within LSS, ensuring scalability, reliability, and innovation.
• Research, fine-tune, and adapt large language models (LLMs) and build agentic AI systems that enable reasoning, planning, and decision-making for sales professionals.
• 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.

Team Description:

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 with high reach and ROI. Lead generation is a central focus for any organization that’s interested in driving consistent and reliable revenue. The 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, Compliance adherence to regulations, improving Ads traffic quality as well as build best in the industry brand safety 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.

As a Sr. 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 tradeoffs 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:

• Provide architectural guidance and mentorship to up-level the engineering organization.
• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
• 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 organization.
• Work with peers across teams to support and leverage a shared technical stack.
• Resolve conflicts between teams within the organization to get alignment and build team culture.
• Review others' work and share knowledge.

As part of our world-class software engineering team, you will be building the next-generation observability platforms for LinkedIn, including but not limited to: instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; Collaborate with development teams to ensure consistent and comprehensive instrumentation across all systems; Develop and maintain libraries, frameworks, and tools to simplify instrumentation. You will work and learn among the best, putting to use your passion for building and scaling observability platforms and your passion for writing code that performs at an extreme scale - come join our Observability Engineering team and share the knowledge with a broader community, while making a real impact within Linkedin.

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. The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn.

The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. Observability Platforms maintains the platforms and products for metrics ingestion, storage, retrieval, visualization, alerting, incident creation & escalation, remediation, health-checking and experience platform. We are one of the very few companies globally with a custom-built platform to support billions of metrics ingested at millions of QPS.

Responsibilities

• Scale distributed applications, make architectural trade-offs applying relevant design patterns, write code, and deliver speediness and quality.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. - Produce high-quality infrastructure that is thoroughly tested, code reviewed & resilient.
• Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large scale, cross-functional, and company-wide critical programs.
• Identify, leverage, and successfully evangelize opportunities to improve the observability of our stack.
• Deliver impact by driving innovation while building and shipping software at scale
• Implement and manage data aggregation/MELT(Metrics, Events, Logs, Tracing) instrumentation techniques, ensuring seamless integration of logs, traces and metrics from both applications and infra components
• Provide architectural guidance and mentorship to up-level the engineering organization
• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
• Design products/services/tools and code that can be used by others while upholding operational impact of all decisions
• Identify problems and opportunities and lead teams to architect, design, implement and operationalize systems
• Work closely with and influence product and/or technology partners regularly to help define roadmap
• Resolve conflicts between teams within the organization to get alignment and build a cohesive culture

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.

Team Information

As part of our world-class traffic infrastructure team, you will be at the forefront of managing every HTTP request that reaches LinkedIn. You will leverage your software engineering expertise and technical leadership skills to enhance the traffic tier’s reliability, security posture, operational rigor, and efficiency. The ideal candidate will have in-depth expertise in DNS, traffic engineering, and routing platforms, along with hands-on experience working with technologies like Azure Front Door (AFD), Cloudflare, IPVS, Apache Traffic Server (ATS), HAProxy, and various proxy systems. In this role, we rely on your technical leadership to elevate our traffic tier to the next level.

Responsibilities

• You will act as a domain expert for Traffic Infrastructure at LinkedIn and own architectural decisions
• You will design, implement, deploy, and maintain traffic routing platforms such as Apache Traffic Server (ATS), HAProxy, to optimize global traffic flow.
• You will partner with customers and leaders to create roadmaps, drive alignments and deliver products
• You will lead and mentor teams, while actively building and operating large scale systems
• You will define, enforce and continuously raise the bar for craftsmanship at Linkedin, bringing in best practices from the industry
• You will build a culture of innovation, with bias for execution

Do you want to be a part of revolutionizing the financial platforms that power LinkedIn? Are you interested in building software that will directly contribute to managing and optimizing financial operations for LinkedIn's business? Look no further. 

We're looking for a Senior Staff Software Engineer to join the Finance Engineering team to build the Next Gen Financial Platform. As a Senior 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. You will be responsible for establishing design patterns and building the foundation/platform and enterprise applications that will power the financial ecosystem. You will architect and scale financial systems, implementing critical business processes while delivering secure distributed transactions across multiple data centers and ensuring compliance with SOX, PCI, GDPR. In this role, you'll have a unique opportunity to develop the software ecosystem that powers every financial transaction at LinkedIn. 

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 

• Provide architectural guidance and mentorship to up-level the engineering organization. 

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

• Scale distributed applications, make architectural trade-offs by applying synchronous and asynchronous design patterns, write code, and deliver with speed and quality. 

• Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. 

• Be a role model and professional coach for engineers with a strong bias for action and a focus on craftsmanship. 

• Identify, leverage, and successfully evangelize opportunities; collaborate with cross-functional teams to design and build scalable platforms/products/services/tools; and improve engineering productivity across the organization. 

• Work with peers across teams to support and leverage a shared technical stack. 

• Resolve conflicts between teams within the organization to drive alignment and strengthen team culture. 

• Review others' work and share knowledge. 

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.  

Senior Technical Program Manager (Sr TPM) to lead large scale, cross functional initiatives across our Finance systems. This role partners closely with Finance, Accounting, Engineering, Product, Legal, and Compliance teams to deliver predictable outcomes across highly regulated, business critical platforms. 

The ideal candidate brings strong technical program leadership, experience operating in SOX impacted environments, and the ability to drive execution through influence rather than authority. This role is critical to ensuring financial systems are scalable, auditable, and aligned with LinkedIn’s business and compliance requirements. 

 
 
Responsibilities: 

• Lead multiple cross-functional technical teams to deliver their objectives for data related programs and projects 

• Develop strong partnerships with engineering and product management leaders to drive focus on strategic and tactical program objectives 

• Drive new organization-wide programs to ensure data and reporting across the GTM space. 

• Own and manage program and portfolio planning, execution of roadmap, and engineering operations for multiple verticals 

• Drive alignments and prioritization across all technology initiatives, manage roadmap for a single consistent view and lead communications 

• Build strategic relationships with key technology and business leaders to ensure program success 

• Drive teams and individuals in planning and executing roadmaps, releases, and work backlogs 

• Lead efforts to identify risks, resolve key project conflicts, and establish appropriate resolution paths 

• Lead company critical, cross functional programs across finance related platforms such as ERP, billing, payments, payroll, revenue, tax, and financial close systems  

• Own end-to-end program execution including planning, dependency management, risk mitigation, and delivery 

• Partner with Finance and Accounting stakeholders to translate business, regulatory, and control requirements into executable technical plans  

• Identify, assess, and proactively mitigate financial, operational, and compliance risks  

• Drive alignment across Engineering, Finance, Product, Legal, and Compliance teams with competing priorities 

• Communicate program status, risks, tradeoffs, and recommendations to senior leaders and executives  

• Establish and evolve governance models, operating rhythms, and success metrics appropriate for finance critical programs  

• Champion operational excellence, documentation rigor, and continuous improvement across teams 

• Fill in gaps across roles and functions as needed, performing as an adaptive problem solver 

• Report on project status or portfolio roadmap, risks, issues and mitigation plans 

• Create a collaborative work environment that fosters shared understanding, transparency, mastery, autonomy, innovation and continuous learning 

• Coach and mentor others in the best practices of modern planning and execution 

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.

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.

Responsibilities

• Manage the performance and career development of a team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding.
• Participate with senior management in developing a long-term technology roadmap.
• Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• Work with peers across teams to support and leverage a shared technical stack.
• Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review 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.

Productivity Engineering organization helps empower global employees, and customers to be productive with world class products and services by building solutions that power LinkedIn’s business, connect employees by providing an application. We drive technology vision, architecture, and design for systems that help the company deliver on major business processes. We deliver applications and products that enhance employees’ productivity in a seamless way, help grow our top line, and increase our efficiency.

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

Hiring Team Description: Our team builds and maintains the core products that power Global Sales Compensation, ensuring accurate, scalable, and compliant compensation processing. We also own and operate all Finance integrations, delivering reliable, real-time data flows across 50+ systems. In parallel, we are developing an AI platform to rapidly onboard Finance AI use cases and enable intelligent agents that improve automation, decision-making, and operational efficiency.

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:

• Lead design and development of new features in GSC systems
• Work across the full stack — backend, frontend, APIs, data flows
• Architect and build AI agents for Finance use cases
• Improve system reliability, performance, and scalability
• Guide junior engineers and provide technical leadership
• Work closely with PMs, Finance partners, and cross-functional teams
• Ensure data accuracy and support critical compensation cycles
• Drive best practices in code quality, testing, and documentation

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.

Team blurb:

The GTM Data Science team operationalizes data and insights for LinkedIn’s go‑to‑market impact across Marketing, Sales, Pricing and Finance. We partner closely on multiple revenue generating initiatives. We also measure platform growth through rigorous metrics, experimentation, and enabling advanced data solutions. We organize and harmonize data at scale by building highly reliable, semantically rich data pipelines enabling data-driven decision making across the organization.

Responsibilities:

• Partner with product managers and go-to-market (GTM) teams to set up experimentation, support A/B testing, and experimentation readouts.
• Build data expertise, act as an owner for the company, and manage complex data systems for a product or group of products.
• Perform all necessary data transformations to serve products that empower data-driven decision making.
• Build and manage data pipelines, design and architect databases.
• Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in the data ecosystem are shared across teams.
• Understand analytical objectives to make logical recommendations and drive informed actions.
• Be a self-starter; initiate and drive projects to completion with minimal guidance.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

About Trust Data Science at LinkedIn
The Trust Data Science team powers the mission of creating safe, trusted, and professional experiences on LinkedIn through rigorous metrics, experimentation, and advanced data solutions. Measuring trust is inherently challenging as abuse is adversarial, ground truth is noisy, and outcomes are often long-tailed. We tackle these challenges using advanced statistical techniques to design and build robust, actionable metrics, make them experimentable, while building highly reliable, semantically rich data pipelines enabling data-driven decision making across the Trust organization. 

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.

About the role
We are hiring a senior engineering and data leader to lead our Trust Data Engineering Solutions team, a critical and strategic pillar of Trust Data Science at LinkedIn. This team owns the data foundations, platforms, and user facing tools that power Trust measurement, decision‑making, and AI‑driven workflows for the Trust R&D organization. 

This role sits at the intersection of data engineering, full‑stack development, and AI‑enabled analytics. It directly enables both human decision‑makers (data scientists, analysts, PMs, engineers and ops) and machine consumers (analytics agents, experimentation systems, ML and agentic platforms) to safely, reliably, and accurately drive data driven decisions. 

This is a high‑judgment leadership role: you will define how Trust data is produced, standardized, governed, discovered, and consumed - at scale and under real‑world constraints.

Responsibilities: What you and your team will own:

Trust data foundations

• Own the end‑to‑end strategy and evolution of Trust data foundations, including:

  • Canonical Trust metrics

  • Authoritative datasets (metrics, system data, telemetry)

  • Measurement‑critical pipelines used by Trust R&D org and external compliance reporting

• Architect and operate complex, multi‑system data pipelines spanning telemetry ingestion, transformation, ML based measurement, and serving

• Set and uphold explicit SLAs across latency, freshness, correctness, and availability, balancing speed with Trust‑grade reliability

Platform integration & ecosystem leadership

• Platformize Trust data by deeply integrating with:

  • Unified metrics and dimensional foundations

  • Experimentation and evaluation platforms

  • Analytics agents and GenAI‑enabled tooling

• Act as a technical partner and peer to trust foundations, data infra, ML infra and experimentation teams

Trust‑native tools & data democratization

• Lead the development of Trust‑native data products, including:

  • Dashboards and reporting surfaces

  • Data access APIs and services to LinkedIn wide data and agentic platforms

  • Internal data tools that lower the barrier to safe, correct data usage

• Democratize access to Trust data for analysts, data scientists, PMs, Engineers and Trust Ops, while maintaining appropriate guardrails.

• Enable agent‑based consumption of Trust data by making datasets and metrics discoverable, well‑annotated, and machine‑interpretable

Standards, governance, and context

• Establish and drive adoption of standards for telemetry, schema, metadata, and annotation across fragmented upstream systems

• Ensure Trust data carries the right context, definitions, assumptions, limitations, and lineage to support accurate retrieval and high‑stakes decisions.

People & org leadership

• Build, lead, and develop a high‑impact team of data and platform engineers

• Set a strong technical and cultural bar through architecture reviews, design rigor, and mentorship.

• Help grow senior ICs and future leaders within the Trust Data Engineering Solutions org

Key challenges your will help tackle:

• Fragmented and inconsistent Trust telemetry across multiple upstream systems

• Complex DAG orchestration with heterogeneous SLAs and dependencies

• Measurement pipelines that combine data engineering with ML models

• Making Trust data discoverable, explainable, and safe for both humans and AI agents

• Scaling platforms without sacrificing metric integrity

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

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.

About the team:
LinkedIn’s Trust \ team's goal is to leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to create a Trusted and Safe Platform, drive member engagement, business growth and monetization . With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.

The Trust Data Science team delivers data & metrics insights, develops data platforms / tools and enables decisions at scale through inference and algorithm as part of the cross-functional Trust team to realize its mission to create safe, trusted, professional experiences where individuals and organizations can be productive and successful. In this role we are looking for a technical leader in the Trust Data Engineering and Platform team. This person will work closely with various cross-functional teams such as product, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.

Responsibilities

• Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
• Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
• Perform all of the necessary data transformations to serve products that empower data-driven decision making.
• Establish efficient design and programming patterns for engineers as well as for non-technical partners.
• Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in our data ecosystem are shared across teams.
• Understand the analytical objectives to make logical recommendations and drive informed actions.
• Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.
• Be a thought leader and modernize the data stack used by the team.

As a Sr. 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 tradeoffs 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:

• Provide architectural guidance and mentorship to up-level the engineering organization.
• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
• 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 organization.
• Work with peers across teams to support and leverage a shared technical stack.
• Resolve conflicts between teams within the organization to get alignment and build team culture.
• Review others' work and share knowledge.

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.

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.