LinkedIn's vision is to create economic opportunities for every member of the global workforce.

LinkedIn is seeking a Director of Capacity, Efficiency, and Forecasting Engineering to lead a critical role within their engineering organization. This position is responsible for comprehensively understanding the end-to-end capacity needs of LinkedIn's ecosystem, ensuring efficiency through industry best practices, and collaborating with engineering teams to develop long-term and annual forecasts. The role involves providing clear predictability for finance and supply chain planning, as well as establishing transparent cost accounting for each application up to each business unit.

Key responsibilities include:
- Collaborating with engineering and infrastructure leadership to drive high availability of site capacity and forecasting needs
- Fostering a culture of efficiency for LinkedIn's overall ecosystem
- Serving as a role model and professional coach for engineers and managers
- Participating in developing long-term product reliability and technology roadmaps
- Driving improvements in end-to-end infrastructure and systems
- Being a domain expert in industry trends and best practices
- Contributing to hiring and developing talented leaders and engineers
- Building effective partnerships with development, infrastructure, and product teams
- Leading cross-organizational projects to ensure timely delivery and high quality

The ideal candidate will have:
- A Bachelor's degree in computer science or related field
- 5+ years of experience managing teams of 40+ engineers
- Experience in attracting, retaining, and developing engineering talent
- Deep understanding of infrastructure products and driving capacity and efficiency
- Experience with the full lifecycle of building, deploying, and maintaining large-scale ecosystems
- Ability to build strategic roadmaps and lead through change
- Experience managing through leaders to drive business outcomes
- 5+ years in a large-scale web application infrastructure leadership position
- 4+ years of experience in areas such as performance engineering, capacity engineering, developer productivity engineering, or web engineering

LinkedIn offers a hybrid work environment, competitive compensation, and a range of benefits including health and wellness programs. The company is committed to diversity, equal opportunity, and fair compensation practices.

LinkedIn seeks a Director of Capacity, Efficiency, and Forecasting Engineering to lead and optimize infrastructure operations.

Director- Capacity, Efficiency, and Forecasting Engineering

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed.

This role will be responsible for building LinkedIn's cross-platform data catalog and applications on top of it to make LinkedIn productive to use its data safely. Examples of what you can enable:
- Keep LinkedIn compliant by highlighting ownership, lineage, and inventory of its data estate.
- Allow LinkedIn to evolve its product experience by understanding the impact of rolling out changes by tracking the downstream impact of making any data, policy, or annotation change.
- Improve the reliability of LinkedIn's data estate through contracts and root cause analysis.

This role will be based in Bangalore and 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:
- 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.

Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
- 15+ years of experience in software engineering/technical management and people management.
- 15+ years of industry experience in software design, development, and large-scale software engineering

Preferred Qualifications:
- Experience programming in object-oriented and/or functional programming languages (like Java/CPP/Scala/etc.)
- Hands-on experience developing distributed systems, databases, large-scale data systems and/or Backend API's

Suggested Skills:
- Technical Leadership
- People Management
- Stakeholder Management

LinkedIn seeks a Director of Software Engineering for Systems Infrastructure to lead cross-platform data catalog development in Bangalore.

Director, Software Engineering, Systems Infrastructure

LinkedIn is seeking a Senior AI Engineer to join their team. This role will be based in Sunnyvale, San Francisco, Bellevue, or New York City. The position offers a hybrid work option, allowing flexibility to work from home and commute to a LinkedIn office as needed.

As a Senior AI Engineer at LinkedIn, you will be both a data/research scientist and a software engineer, developing and implementing machine learning models and algorithms. Unlike other companies that separate these roles, LinkedIn engineers work on projects from ideation to implementation.

Key Responsibilities:
- Work with big data, processing millions of samples for statistical modeling, data mining, and recommendation solutions
- Write production-quality code and influence the next generation of LinkedIn's systems
- Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn's newsfeed
- Build scalable AI innovations with foundation and infrastructure partners

Requirements:
- BA/BS Degree in Computer Science, Machine Learning, or related technical discipline, or equivalent practical experience
- 2+ years of experience in software design, development, and algorithm-related solutions
- 2+ years of experience in programming languages such as Java, Python, etc.
- 2+ years of experience with machine learning, data mining, and information retrieval or natural language processing

Preferred Qualifications:
- 4+ years of relevant machine learning experience
- MS or PhD in Computer Science or related technical discipline
- Experience with iterative, test-driven development
- Experience with configuration management (SVN, GIT, ant, maven, etc.)
- Experience with developing and designing consumer-facing products
- Experience with Hadoop, Pig, or other MapReduce paradigms
- Knowledge of internals Lucene/SOLR or other information retrieval systems
- Published work in academic conferences or industry circles
- Experience in Machine Learning and Deep Learning
- Experience in Big Data
- Strong technical background & Strategic thinking
- Experience in GAI and/or LLMs

LinkedIn offers a comprehensive benefits package, including health and wellness programs, generous time off, and fair and equitable compensation practices. The company is committed to diversity, equity, and inclusion in its workforce.

Join LinkedIn to challenge yourself with work that matters and be part of a team that is creating economic opportunities for every member of the global workforce.

Senior AI Engineer position at LinkedIn, developing machine learning models and algorithms for the world's largest professional network.

Senior AI Engineer

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed.

This role will be based in Manassas, VA and requires in-office presence on a full-time basis due to the nature of work being completed or the equipment used on site. This helps to ensure you are set up for success based on the job responsibilities.

As a Senior Engineer in our Data Center team, you will be responsible for managing the installation, configuration, and reporting of thousands of in-rack power distribution units, busway power monitors, and overall sensor deployment and maintenance. You will work closely with various teams to maintain the accuracy of our DCIM tools, sensors, and underlying power and cooling infrastructure.

Key responsibilities include:
• Configuring and troubleshooting cabinet power strips and busway monitors
• Working with data center providers' Building Management Systems (BMS)
• Collaborating with third-party monitoring application providers
• Administering and understanding data center/white-space infrastructure designs
• Handling data center power strip and busway monitor deployments
• Engineering and designing data center infrastructure
• Developing and maintaining processes and procedures for data center infrastructure management
• Supporting Controls projects and commissioning activities
• Training and assisting internal customers and stakeholders
• Providing technical assistance and support throughout the data center lifecycle
• Deploying software and automation improvements
• Supporting and improving data center monitoring applications
• Developing and maintaining standards for operating procedures and problem incident management
• Analyzing and resolving critical engineering issues

This role offers an opportunity to work on cutting-edge data center technologies and contribute to the infrastructure that powers LinkedIn's global network. Join us to challenge yourself with work that matters and make a significant impact on our data center operations.

Senior Engineer, Data Center role at LinkedIn, managing power distribution and infrastructure in Manassas, VA.

Senior Engineer, Data Center

LinkedIn is the world's largest professional network.

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.

This role will be based in Sunnyvale, CA, San Francisco, CA or Bellevue, WA. 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.

Team Overview:
Securing data is core to building trust with our members and for LinkedIn's success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members' data. We are responsible for securing all of LinkedIn's microservices, big data, and large scale data systems such as Kafka.

As a Sr. Software Engineer, you will play a crucial role in our ongoing efforts to execute the vision for our security infrastructure features, and capabilities. This is a critical role that will touch every aspect of our engineering organization, and we are looking for motivated professionals who have a proven track record of working with engineering teams that can develop large-scale security infrastructure by collaborating with teams across a large organization.

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, compute 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 work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, 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.

If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.

Responsibilities:
• Design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
• Participate in design and code reviews to maintain our high development standards.
• Partner with peers, leads and internal customers to define scope, prioritize and build impactful features at a high velocity.
• Mentor other engineers and will help build a fast-growing team.
• Design and implement a robust security framework to safeguard workloads from compromise.
• Continuously identify and mitigate vulnerabilities in host and container ecosystems.
• Strengthen security for control plane components and privileged host agents to prevent unauthorized access.
• Create systems to dynamically adjust security controls based on node profiles and workload context.
• Enhance host and container security with policy-based binary authorization, TPM usage, code signing, and risk-based controls.
• Leverage expertise in domains such as Kubernetes, Containers, Service Mesh, Networking, Linux internals, Authentication/Authorization protocols, and Cloud Security tools.

Basic Qualifications:
• BS/BA in Computer Science or related technical field, or equivalent technical experience 
• 2+ years of industry experience in software design, development, and algorithm related solutions.
• 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
• Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs

Preferred Qualifications:
• BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience
• Proven experience in designing, developing, and managing large-scale distributed systems.
• Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
• Strong, in-depth knowledge of the Linux Kernel, including boot modes and initialization Systems.
• Familiarity with Linux Kernel security features such as Kernel Runtime Security Instrumentation (KRSI).
• Understanding of Intel and AMD hardware virtualization technologies like SGX, TDX, SPE-VI, SEV-SNP.
• Proficiency in eBPF and XDP, as well as security frameworks like Seccomp, SELinux, or AppArmor.
• Hands-on experience with Linux containers and Kubernetes, and familiarity with container runtimes such as Containerd, runc, or similar.
• System-level programming experience in Go/C or Rust/C++, or distributed systems programming within the Kubernetes ecosystem.

Suggested Skills:
• API Development
• Kubernetes Infrastructure
• Workload Security
• Java/Golang/Rust/Python

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.

Senior Software Engineer role at LinkedIn focusing on security infrastructure and large-scale distributed systems.

Sr. Software Engineer

LinkedIn is seeking an AI Engineering Manager for their Hirer AI team, responsible for connecting individuals to opportunities and building the next generation recruiter platform. This role involves leading a team of 6-10 engineers, working on cutting-edge AI technologies including generative AI, search, and recommendation systems. The position is based in Sunnyvale, CA, with a hybrid work option.

Key responsibilities include:
- Leading a team of 6-10 engineers
- Collaborating with cross-functional teams
- Participating in technical and design discussions
- Defining and leveraging best practices for engineering and research
- Attracting world-class talent and providing mentorship
- Driving faster iterations through A/B experiments

The ideal candidate should have:
- 5+ years of related industry experience in Machine Learning and algorithm solutions
- 1+ year(s) of management experience or Staff level AI/ML engineering experience
- BA/BS in Computer Science or related field
- Hands-on experience in data modeling, AI, and machine learning

Preferred qualifications include:
- 2+ years of ML/AI Engineering management experience
- MS or PhD in Computer Science, Machine Learning, or related fields
- 7+ years of hands-on experience in data modeling and machine learning
- Experience with Generative AI products and Search/Recommendation systems

This role offers a competitive salary range of $200,000 - $268,000 per year, along with annual bonus and RSU opportunities. LinkedIn provides a comprehensive benefits package and is committed to diversity and inclusion in its workforce.

LinkedIn is hiring an AI Engineering Manager to lead the Hirer AI team, focusing on advanced AI technologies for recruitment platforms.

AI Engineering Manager, Hirer AI

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce.

LinkedIn is seeking a Staff Product Designer for their Sales Solutions team. This role offers a unique opportunity to shape the future of enterprise products within the world's largest professional network. As a Staff Product Designer, you'll be responsible for creating holistic design solutions that address business, brand, and user requirements.

The ideal candidate will have 7+ years of experience in user experience design, with a strong background in delivering large-scale projects independently. You'll be working in a hybrid environment, with the flexibility to work from home and commute to LinkedIn's office in New York City.

Key responsibilities include:
- Effectively communicating conceptual ideas, design rationale, and user-centered design processes
- Creating holistic design solutions that address business, brand, and user requirements
- Collaborating with web developers and engineers to deliver final products
- Driving strategy and vision for projects and teams
- Solving unstructured problems with many dependencies

You'll be equipped with the best design tools in the business, including Figma, Principle, and Miro. LinkedIn offers a competitive salary range of $141,000 to $230,000 per year, along with benefits such as 401k, medical insurance, and equity.

Join LinkedIn's global Product Design team and help create economic opportunity for every member of the global workforce. You'll work on both consumer and enterprise products, with opportunities for team rotation to keep you engaged and growing in your career.

If you're passionate about designing an equal, fair, and accessible platform that's modern, engaging, and responsible, this role could be perfect for you. Apply now to be part of LinkedIn's mission to transform the way the world works.

Staff Product Designer for LinkedIn's Sales Solutions team, responsible for creating holistic design solutions for enterprise products.

Staff Product Designer, Sales Solutions

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.

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.

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, 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 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.

Basic Qualifications:
- BS in Computer Science or related field with 12+ years of relevant engineering work experience and 4+ years of hands-on technical management experience
- 5+ years software design, coding in one of the following languages: Java, C++

Preferred Qualifications:
- 4+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries.
- 5+ years of experience in building and working with production grade systems.
- Shipped several large-scale projects with dependencies across multiple teams.
- Built and delivered on successful cross-functional partnerships across multiple teams.
- Been actively involved in creation and execution of technical strategy and roadmap.
- Actively coached, mentored and grew team members in their careers.
- Track record in partnering with recruiting to hire and build incredible engineering teams.

Suggested Skills:
Technical Leadership, People Management, Stakeholder Management

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.

Senior Software Engineering Manager - Applications at LinkedIn, leading engineering teams to develop and scale products for the Indian market.

Senior Software Engineering Manager - Applications

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed.

The Video AI team sits at the heart of LinkedIn's ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn.

As a senior AI leader in NY, you will help lead the buildout of our AI presence in the New York office. This role offers a hybrid work option, meaning you can 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.

Key responsibilities include:
- Participating in technical and design discussions with technical leads
- Collaborating with application engineering, product, and partner teams to design machine learning solutions
- Operating best engineering and scientific practices & processes
- Attracting world-class talent and providing technical guidance, career development, and mentoring to team members

The role encompasses various problem spaces, including:
- Video Understanding: Building state-of-the-art content understanding models and content embeddings
- Video Feed Personalization: Identifying the most engaging content for users
- Video Search: Tackling the multimodal search problem
- Video Safety: Safeguarding users from malicious actors and content

Join us to challenge yourself with work that matters and shape the future of video technology at LinkedIn.

Lead the Video AI team at LinkedIn, developing cutting-edge machine learning solutions for video understanding, personalization, and search.

Sr Manager, Machine Learning - Video AI

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.

Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour — and tens of millions more shares and likes. We are looking for a research engineer/scientist to develop state of art NLP & vision algorithms to understand member posted content meaningfully. You will be instrumental in improving the efficacy of communication and content exchange between millions of LinkedIn members by developing cutting edge content understanding and classification algorithms. The understanding is not only limited to extract features but to summarize, classify & cluster content.

We own the end to end stack from idea creation, POC, design to product deployment. As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

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:
- Develop next-gen algorithms to understand visual content and textual content and member interactions on LinkedIn
- Develop state-of-art text/image/video classification models scaling to millions of content and thousands of categories
- Build Scalable Video Systems: Design and optimize scalable platforms for video processing, including multi-GPU setups and advanced video modeling.
- Develop state-of-art supervised and semi-supervised models scaling to hundreds of millions of members and their content
- Own end-to-end model development and deployment at LinkedIn scale
- Mentor junior research engineers in utilizing advanced machine learning techniques for critical business problems
- Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market

Basic Qualifications:
- Master's degree OR Bachelor's degree with 5+ years of work experience
- 5+ years of experience in at least one of the following areas: Computer vision, Image processing, Machine Learning, Statistical modeling/inference, Data mining, NLP, Graph/geometric deep learning, Large Language Models, Generative AI

Preferred Qualifications:
- Ph.D. in computer science, statistics, engineering, mathematics, or similar quantitative discipline
- 5+ years of hands-on experience working on machine learning, Computer Vision, Deep Learning for Video, Video Analytics, Multi-GPU and Distributed Training, Large scale data Handling, Scalable Model Inference, Video Processing Pipelines or related topics
- Understanding of standard programming and software engineering practices
- Proven track record of publishing at academic and industry venues
- Ability and eagerness to program

Suggested Skills:
- Machine Learning
- Deep Learning
- Generative-AI
- Large Language Models

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.

Senior Software Engineer, Machine Learning position at LinkedIn, developing state-of-the-art NLP & vision algorithms for content understanding and classification.

Senior Software Engineer, Machine Learning

LinkedIn is seeking a Senior AI Engineer to join our team. As the world's largest professional network, we are committed to creating economic opportunity for every member of the global workforce. Our Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.

In this role, you will:
- Work with BIG data, crunching millions of samples for statistical modeling, data mining, and recommendation solutions
- Write production quality code and influence the next generation of LinkedIn's system
- Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed
- Build scalable AI innovations with foundation and infra partners

We're looking for candidates with:
- 2+ years of experience in software design, development, and algorithm-related solutions
- 2+ years of experience in programming languages such as Java, Python, etc.
- 2+ years of experience with machine learning, data mining, and information retrieval or natural language processing
- Strong technical background & strategic thinking
- Experience in Machine Learning and Deep Learning
- Experience in Big Data
- Experience in GAI and/or LLMs

Preferred qualifications include:
- 4+ years of relevant machine learning experience
- MS or PhD in Computer Science or related technical discipline
- Experience with Hadoop, Pig, or other MapReduce paradigms
- Knowledge of internals Lucene/SOLR or other information retrieval systems
- Published work in academic conferences or industry circles

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 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.

We offer competitive compensation, including base salary, annual performance bonus, stock options, and comprehensive benefits. Join us to challenge yourself with work that matters and be part of a team that's shaping the future of professional networking and AI innovation.

Senior AI Engineer at LinkedIn: Develop and implement machine learning models and algorithms for the world's largest professional network.

LinkedIn is seeking a Senior Data Engineer for their Data Science team. This role will leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive member engagement, business growth, and monetization efforts. The ideal candidate will work closely with cross-functional teams to develop infrastructure and deliver tools or data structures that enable data-driven decision-making.

Key Responsibilities:
- Work with high-performing data science professionals and cross-functional teams to identify business opportunities and build scalable data solutions
- Build data expertise and manage complex data systems for products
- Perform data transformations to serve products that empower data-driven decision making
- Build and manage data pipelines, design and architect databases
- Establish efficient design and programming patterns for technical and non-technical partners
- Design, implement, integrate, and document performant systems for data flows and analysis at 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
- Engage with internal platform teams to prototype and validate tools for deriving insights from large datasets
- Be a self-starter, initiating and driving projects to completion with minimal guidance
- Contribute to engineering innovations that fuel LinkedIn's vision and mission

Required Qualifications:
- Bachelor's Degree in a quantitative discipline (Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.)
- 3+ years of relevant industry or academia experience working with large amounts of data
- Experience with SQL/Relational databases
- Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)

Preferred Qualifications:
- MS or PhD in a quantitative discipline
- Experience in developing data pipelines using Spark and Hive
- Experience with data modeling, ETL concepts, and efficient data governance
- Experience with distributed data systems (Spark, Presto/Trino, Hive, etc.)
- Deep understanding of technical and functional designs for relational and MPP Databases
- Experience in data visualization and dashboard design
- Knowledge of Unix and version control systems like Git

LinkedIn offers a hybrid work option, generous health and wellness programs, and fair and equitable compensation practices. The company is committed to diversity, equal opportunity, and creating an inclusive workplace.

Senior Data Engineer position at LinkedIn, leveraging big data for business insights and product development.

Senior Data Engineer - Data Science

LinkedIn is seeking a Senior Product Manager to lead the core ranking of Video on LinkedIn. This role will be crucial in optimizing video updates in the Feed for engaging conversations and supporting other parts of the LinkedIn ecosystem. The ideal candidate will partner with various teams to develop a comprehensive AI roadmap for Video Relevance, align product strategy with model objectives, and drive global product requirements. 

Key responsibilities include:
- Collaborating with PMs, data scientists, AI, applications, and infrastructure engineers
- Prioritizing and defining new features and model improvements
- Analyzing competitive environments, customers, and product metrics
- Driving product planning and design, including writing PRDs
- Communicating product benefits to users and stakeholders
- Making data-driven decisions through experiments and analysis

The role requires:
- 4+ years of experience in product management or equivalent
- BS/BA Degree in a technology-related field or equivalent experience
- Strong analytical skills and comfort with data-driven decision-making
- Experience in Machine Learning and working with Generative AI
- Ability to collaborate across teams and deep dive into technical details

This position offers a hybrid work option and is based in New York, San Francisco, Mountain View, or Bellevue. LinkedIn provides a comprehensive benefits package and is committed to fair and equitable compensation practices.

Join LinkedIn to transform the way the world works and create economic opportunity for every member of the global workforce.

Senior Product Manager role at LinkedIn, leading Video Relevance and AI initiatives to optimize content engagement and support the LinkedIn ecosystem.

LinkedIn Engineering Jobs

LinkedIn's vision is to create economic opportunities for every member of the global workforce.