דרושים » פיתוח תוכנה » Research Scientist Intern, Central Applied Science (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.
Publish research results and contribute to research that can be applied to Meta product development.

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, 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 sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Large Language Models (PhD) Responsibilities
Perform research to advance the science and technology of intelligent machines.
Develop novel and accurate Code Generation, World Modeling, NLP, and systems, leveraging Deep Learning and Machine Learning on big data resources.
Analyze and improve efficiency, scalability, and stability of various deployed systems.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Publish research results and contribute to research that can be applied to Meta product development.

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join our Generative AI research efforts across modalities (images, video, 3D, audio, etc.). 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 generative modeling, deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, 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, Generative AI (PhD) Responsibilities
Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques.
Perform research to advance the science and technology of intelligent machines.
Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Disseminate research results.

Meta is seeking AI Research Scientists to join fundamental and applied research teams, which are focused on making significant progress in AI. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, generative models, reinforcement learning, computer perception, natural language processing and speech. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company.
Research Scientist, Generative Models (PhD) Responsibilities
Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines.
Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Drive team goals & technical direction to pursue opportunities that make your larger organization more efficient.
Influence progress of relevant research communities by producing publications.
Contribute research that can be applied to Meta product development.
Devise better data-driven models of human behavior.

Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to Meta's product development.

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.

In this role, you will be working on improving the factuality of Google's large language models that power prominent google products such as search AI overviews, gemini chat, cloud and YouTube.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Perform research for improving large language model (LLM) factuality and it's grounding capabilities.
Collaborate with other research teams to improve large language model (LLM) factuality.
Integrate innovative research into google products by collaborating with product teams.

Want to build new features and improve existing products that more than a billion people around the world use? Are you interested in working on highly impactful technical challenges to help the world be more open and connected? Want to solve unique, large-scale, highly complex technical problems? Our development cycle is extremely fast, and we've built tools to keep it that way. It's common to write code and have it running live on the site just hours later. We push code to the site continuously and have small teams that build products that are touched by millions of people around the world. If you work for us, you will be able to make an impact immediately.

Meta is seeking Software Engineers to join our engineering team. You can help build the next-generation of systems behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team thats working to help people connect with each other around the globe.

This position is full-time and there are minimal travel requirements.
Software 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 judgment 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

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Waze Traffic Insights team is responsible for delivering real-time alerts, insights, and road condition updates to millions of Waze users around the globe.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Responsibilities
Design, develop, test, deploy, maintain and improve the teams services.
Design and implement scalable and robust applications.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback.
Triage product or system issues and debug, track or resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Ads, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Software Engineers to join our teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer, Infrastructure Responsibilities
Lead complex technical efforts across many engineers
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Set direction and goals for the team regarding project impact, product quality and engineering efficiency
Lead major initiatives, projects, teams, roll-outs and phased-releases
Helps onboard new team members, provides mentorship and enables successful ramp up on your team's code bases
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

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 is comprised of varying levels of experience and backgrounds, from new grads to industry veterans. Relevant industry experience is important (Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, 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.
Production Engineer Responsibilities
Own back-end services like our container fleet management systems, front-end services like Chat and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between
Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world
Together with your engineering team, you will share an on-call rotation
Partnered 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 millions of users all around the world