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As an AI Solutions Engineer, youll partner with enterprise clients to understand their challenges and architect AI-driven solutions using the platform. Youll collaborate with leading data science and ML engineering teams, working alongside experienced practitioners to ensure smooth adoption and measurable business outcomes.

Youll design and deliver proofs of concept, lead workshops, and build compelling demos showcasing the capabilities of for AI evaluation, monitoring, and reliability. Acting as the key interface between our product, research, and customer teams, youll help translate technical requirements into impactful AI solutions.

What Youll Do:
As an Agent Engineer on our companys Endpoint team, you will play a pivotal role in developing our endpoint agent, taking full ownership from design to production. Your work will focus on creating efficient and secure detection and prevention capabilities, implementing robust command and control processes, and ensuring top-tier performance and reliability. Key responsibilities include:
Designing and developing high-performance, resilient solutions from concept to production.
Optimizing code and leveraging new technologies to enhance system performance.
Collaborating with skilled backend engineers to implement best practices and maintain architectural excellence.
Writing clean, efficient, and well-tested code to ensure reliability and security.
Our Tech Stack:
Rust | WinAPI | Tokio | OpenAPI | Protobuf.

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to our success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations.
Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of our unparalleled data infrastructure
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Publish research results in top-tier conferences and at leading journals
Actively identify new opportunities within our long term roadmap for applied science contributions.

As a Senior Backend Engineer
You will be working with tons of data! Our customers store Petabytes of cloud assets, and well want you to:
Work with the latest cloud services to fetch the right information
Research and find innovative ways to process big data into insights
Always optimize! Be very mindful of resources - costs and runtime
You will design and own new product features:
Work with PMs to finalize product requirements and scope
Work with data scientists to optimize their models for massive-scale in production
Think 80/20 - were a lean startup and time is crucial. Only develop what brings value
You will put our customers needs first:
Locate bottlenecks in our pipeline and help fix them
Automate and orchestrate our processes to make them more efficient
Always improve our production monitoring and visibility to handle issues quickly
Our areas of expertise are:
Databases of every kind | Cloud technologies - AWS, GCP, Azure | Virtual Machines and computing | Cloud security & Identity management | data security | Performance and cost optimization
The tools and services we use across our company are:
Typescript | NodeJS | NestJS | K8s| Kafka | TypeORM | Jest | Microservices.

Required Research Intern, Video & Image Generation (PhD)
The XR Tech Research team is seeking highly motivated Research Interns to join us in advancing the next generation of video and image generation technologies. Our team is dedicated to conducting foundational, state-of-the-art research in video generation, with a strong focus on pushing the scientific and technical boundaries of generative AI to enable future immersive and interactive experiences.
As a Research Intern, you will work alongside leading experts in computer vision, generative modeling, and multimodal learning, contributing to projects at the frontier of large-scale video and image generation models. Our work not only advances the academic field but also lays the groundwork for future XR systems and applications, shaping how people will interact, create, and connect in virtual and real-world environments.
About the Team
The XR Tech Research team has a long-standing history of groundbreaking contributions to generative AI research across modalities-from images and video to 3D and beyond. We are at the forefront of advancing foundational video generation models, collaborating with world-class research groups, and driving the next wave of innovation in immersive technologies. Our work is both academically impactful and tightly connected to real-world applications, enabling breakthroughs that redefine the future of XR.
Research Intern, Video & Image Generation (PhD) Responsibilities
Conduct research on advanced topics in video and image generation, including but not limited to generative diffusion and transformer architectures, spatio-temporal modeling, and multimodal integration.
Design, implement, and evaluate novel algorithms and model architectures.
Collaborate closely with researchers and engineers across the XR-Tech group and broader FAIR/GenAI teams.
Contribute to publications in top-tier conferences and journals in AI, computer vision, and machine learning.
Present findings and share insights that help shape both ongoing research and future directions.

Required Research Scientist Intern, AI Core Machine Learning (PhD)
We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to Meta product development.

Come join the company building the security operating model for the age of AI. AI has changed how data is used - and security must change with it. our company's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, our company provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the worlds leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
Responsibilities:
As our customers include fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. You will be responsible for improving the efficiency, scalability, and stability of various system components facing this extreme scale.
Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure but mainly due to our comprehensive support of cloud technologies for our clients
Contribute best practices and architectural leadership to our backend applications and help pick the architecture, frameworks, and tooling for our company core technologies.
Helping with selecting, onboarding, and coaching junior members of the team
Close collaboration with technical (backend, QA & infrastructure) and non-technical (product, design) roles to understand and challenge end-user requirements and ultimately translate these into effective technical solutions
Our Stack: Node.js, Typescript, React, Nest.js.

We are seeking a dynamic and highly motivated Senior Software Manager to lead our software verification and automation for DOCA Networking SDK. We are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality verification and automation processes. This position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by us and developed by our customers, empowering the most advanced data centers in the world. This role requires close collaboration with teams across various fields (SW, HW, QA) to elevate our product to the next level.

What you'll be doing:

Lead teams of software verification engineers, providing technical direction, career development, and performance mentorship.

Define and continuously refine our software testing methodology and processes.

Engage in a hands-on approach, actively participating in the design, coding, and debugging of verification tests and infrastructure alongside your team.

Lead the verification process, ensuring the functionality, stability, and performance of our DOCA networking SDK and the solutions on top of it.

Work closely with internal and external customers to understand system use cases.

Analyze coverage measures to identify verification gaps and provide data-driven insights into product development and release readiness.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and us. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

We are looking for a Senior DevOps Engineer to join our fantastic team!
Responsibilities:
Develop and Architect our SaaS platform
Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure but mainly due to our comprehensive support of cloud technologies for our clients
As our customers include Fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. As a result, our scale of operation is immense and requires us to use highly scalable infrastructures for our system.
Monitor, troubleshoot, and resolve production-grade issues. Configure the system and application aspects.
Develop architectural POCs
Work on a microservices architecture
Automate everything, keeping it DRY
Assist and work closely with the team across R&D
Work on our next-generation cloud-native applications

Our IT Business Applications team is seeking an expert SAP professional to join their team which supports Operations and Purchasing. The ideal candidate would have minimum hands-on experience of 10+ years in SAP Production Planning & Materials Management. This role would require working very closely with various business teams that include boards manufacturing, Procurement and other Operations teams.

What you will be doing:
Collaborate with business users to understand their requirements, provide system solutions for sophisticated and exciting business problems
Working on multiple internal Projects as a team member or lead to implement new functionalities and improve existing functionalities including articulating, analyzing requirements, and translating them into effective solutions, in Project Systems and Inventory Management.
Architect SAP system solution & Config system in SAP PP / MM configuration and support the processes already implemented.
Collaborate heavily with onsite-offshore resources including Multi-functional, BSAs, DEV, technical team members to prioritize, co-ordinate and architect/ Implement the solution.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

Come join the company building the security operating model for the age of AI. AI has changed how data is used - and security must change with it. our company's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, our company' provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the worlds leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
Responsibilities:
Direct contribution to the company codebase as part of a product team.
Identifying, documenting, and communicating technical improvements within your area of responsibility in the team
Close collaboration with technical (backend, QA & infrastructure) and non-technical (product, design) roles to understand and challenge end-user requirements and ultimately translate these into practical technical
Participating in cross-team engineering initiatives as an individual contributor.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Product Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.