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Production Engineers at Meta are software engineers who focus on the reliability, scalability, performance, privacy and security of Meta Products - such as WhatsApp, Instagram or Messenger and our business platforms such as Ads, Business Messaging and Commerce.

Through a deep understanding of production services, and a passion for automation, they allow our product teams to deliver new features quickly while maintaining an awesome user experience. They are embedded in Meta's product teams and are core participants in every significant engineering effort.

Our team members come with varying levels of experience and wide-ranging 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 based in our Tel-Aviv offices.
Production Engineer (University Grad) Responsibilities
Develop a strong understanding of relevant product area, codebase, and/or systems
Demonstrate proficiency in data analysis, programming and software engineering
Produce high quality code with good test coverage, using modern abstractions and frameworks
Work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills
Master Metas development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity
Actively seek and give feedback in alignment with Metas Performance Philosophy

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.