לוח משרות דרושים

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Responsibilities
Author research papers to share and generate impact of research results across the team and in the research community.
Help in growing research business across teams by sharing research trends and practices within the community.
Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing research strategy and plans to expand the impact of Google research with some guidance.
Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's servicesboth our internally critical and our externally-visible systemshave reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SREs will keep an ever-watchful eye on our systems capacity and performance.


Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, youll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Responsibilities
Improve the life-cycle of services from inception and design, through deployment, operation, and refinement.
Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health, and lead sustainable incident response.
Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

ironSource from Unity, a cutting-edge large-scale ad network, is seeking a highly skilled and experienced Senior Software Engineer to join our backend team. The ideal candidate will have a strong background in distributed systems, data engineering and software engineering, and will be responsible for leading the design, development, and deployment of top quality data pipelines, data lake and an ML feature platform.
What you'll be doing
System Design and Architecture: Develop and maintain robust, scalable, and efficient distributed systems and data pipelines to help build the new generation of ironSource's ML feature platform.
Research and Innovation: Stay current with the latest advancements in machine learning data pipelines, feature stores, and apply innovative techniques to improve data aggregations, monitoring, cleaning & filtering and preparing for ML training.
Cross-Functional Collaboration: Work closely with data scientists, software engineers and product managers to build the data lakes and data pipelines.

SuperSonic by Unity is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic Data Department. In this role, you'll work with petabyte-scale data to design, develop, and deploy state-of-the-art machine learning pipelines and systems. You'll build robust ML infrastructure using AWS services and orchestrate processes with Apache Airflow. If you're a passionate problem solver with a commitment to excellence and thrive in a collaborative environment, SuperSonic by Unity offers a unique opportunity to make a significant impact. Here, your expertise will drive innovation and help shape the future of machine learning, all while working on groundbreaking projects at a massive scale.

What you'll be doing
End-to-End Project Ownership: Take charge of feature design from concept through to deployment, ensuring robust, scalable solutions in a complex and dynamic environment.
Pipeline & Infrastructure Development: Architect and implement advanced machine learning pipelines that efficiently manage and process massive data volumes.
Collaboration & Teamwork: Embrace a team-first mindset"there is no I in team"actively supporting your peers while continuously learning and striving for excellence.
Problem Solving: Utilize your analytical skills to navigate technical challenges and deliver high-quality results on schedule, all while taking full ownership of your projects.

Cyber-attacks are increasing in volume and sophistication, evading traditional defenses, and posing a growing risk to enterprises from outside criminal organizations and malicious insiders in the organization. The Microsoft 365 Defender suite leverages the Microsoft 365 security portfolio - including Microsoft Defender for Endpoint, Office, Cloud Apps and Identity, as well as Microsoft Sentinel and XDR - to automatically analyze threat data across domains, building a complete picture of each attack in a single dashboard to monitor, hunt, detect and remediate threats. With this breadth and depth of clarity defenders can now focus on critical threats and hunt for sophisticated breaches, trusting that the powerful automation in Microsoft's security products detects and stops attacks anywhere in the cyber-attack kill chains and returns the organization to a secure state. Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey.



We use state of the art cloud technologies, big data solutions and AI at hyper scale and modern UX platform to deliver the highest value for our customers. If you're passionate about cyber security like us, and if you live and love data, want to make the world a safer place for millions of customers, love creating products for and with customers and are a team player - come join us. Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong. so, were looking for an experienced hands-on Senior Software Engineering manager to join our fast-growing team.
Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration (engineering, PM, design, research and data science). You will work closely with experienced engineers and be part of an agile and fast-moving development team - and will have a role in mentoring your more junior peers and helping them succeed. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and our group. Our group is consistent from both feature teams and platform teams and we are looking for candidate with passion in either or both.

Production Engineers at Meta are hybrid software/systems engineers who ensure that Meta's services run smoothly and have the capacity for future growth. They are embedded in every one of Facebook's product and infrastructure teams, and are core participants in every significant engineering effort underway in the company.

Our team members come with varying levels of experience and backgrounds. Relevant industry experience is important (Software Engineer, Site Reliability Engineer (SRE), Systems Engineer, DevOps Engineer, Network Engineer, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude. We sail into uncharted waters every day at Meta in Production Engineering, and we are always learning.

This position is full-time.
Production Engineer Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of Metas underlying infrastructure and network.
Write and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the world.
Together with your engineering team, you will share an on-call rotation and be an escalation contact for live service incidents.
Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by billions of users all around the world.