דרושים » אלגוריתמים » Research Assistant (PhD)

Meta is seeking Research Scientists, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be world-leading experts in research areas such as ML theory, responsible AI, reinforcement learning, computer vision, audio, and/or NLP. To learn more about our research, visit https://ai.meta.com/.
Research Scientist - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines.
Perform research that enables learning the semantics of data (images, video, text, audio, codegen, and other modalities).
Work towards long-term ambitious research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.

Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). 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 solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of Meta FAIR's CodeGen research is to advance the state of AI through open science innovations. We explore, design, and conduct fundamental research on Code Generation and Computational World Modeling at scale with usability, efficiency, and sustainability as design principles.
Research Engineer, CodeGen - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines. Specifically, Contribute research that leads to innovations in Code Generation, Code World Modeling, Agentic Code Generation, Math Reasoning, etc.
Perform research that enables learning the code data (images, video, text, code, audio, and other modalities).
Devise better data-driven models of AI code generation systems.
Work towards long-term research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

Augmented and Virtual reality will transform the way people come together to work and play. By developing new hardware and software products capable of understanding human appearance, movement and expression, we aim to make it possible for people to feel like they are directly in front of each other, despite being separated by vast distances. By developing new products capable of understanding the human environments, we will enable a metaverse where people can share virtual experiences which interact seamlessly with the real world.

Our XR Tech organization in Tel-Aviv is focused on research and development of machine perception technologies from early concepts to production level across all of Metas RL products and surfaces including AR/VR products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including mixed reality, scene and object understanding, world-scale mapping, avatars, AR/VR remote presence / calling, digital fashion, AR Sharing, and more.

Your job will be to both manage and partner with groups working across the full spectrum from research to product development, managing our technical investment portfolio supporting Tracking and SLAM for AR/VR products across different timelines. You will oversee and be responsible for a broad array of state-of-the-art technology areas and product integrations. Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.
Engineering Manager, Computer Vision Responsibilities
Leading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.
Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver these requirements.
Engaging cross-functionally with other researchers and engineers to develop concepts that advance the entire product pipeline across hardware, software, integration, infrastructure, and applications.
Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Recruit world-class talent and provide technical leadership and guidance to both your team members and your project peers.
Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
Operate strategically and tactically. Working closely with various organizations to define and execute the long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
Provide technical leadership and guidance to both your team members and your project peers.

We are looking for a strong, hands-on Data Scientist to join our ThreatCloud AI group.

In this role, you will join a R&D team that researches, designs, and develops Check Points Zero Day prevention solution, and provides state of the art AI based prevention of malicious and phishing attempts on a global scale.

This is a unique opportunity for you to gain expertise and experience utilizing vast data collection, and to deliver game changing results in the Cyber Security realm

Key Responsibilities
Join the research and development of new innovative capabilities for cyber security, involving advanced AI and Algorithms.
Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.

One Security Operations Center (SOC) is a new team under Modern Protection & Security Operation Center, our vision is to empower every SOC team to protect their entire digital estate, optimize for their unique environment and needs. We build the ultimate unified one-stop-shop solution, making SOC teams most effective and efficient and deliver optimized protection that meets customers where they are, leading Extended Detection and Response (XDR)+ Security Information and Event Management (SIEM) market.
We are looking for an innovative data scientist with NLP expertise, strong technical skills and desire to make significant impact through data and research. A successful candidate will be an excellent hands-on applied data scientist who is enthusiastic about NLP, LLMs, data, security, and real-world problem solving
Responsibilities
As a senior data scientist on our team, you will work closely with other data scientists, security experts, software engineers, and product managers to tackle many different types of problems. You will utilize generative AI tools, anomaly detection algorithms, supervised and unsupervised learning methods, statistical methods, time series analysis, and more, to help customers investigate security incidents and protect their environments. You will be up to date with our customers needs and the competitive landscape and work with internal and external teams to build advanced solutions for SIEM and XDR. You will process hundreds of PBs and code mainly in Python and PySpark. You will be independent but surrounded by a large team of strong and experienced multi-disciplinary researchers

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.

As a Chip Infrastructure Engineer, you will plan and execute work in an innovative and fast-paced environment, with a focus on infrastructure that enables design and verification teams to produce the chips that power Google's computing needs. You'll be part of the chip infrastructure team responsible for compute, storage, common chip design components, and front-end tool flows.

In this role, you will work with architects, logic designers, and verification engineers to develop flows to build and verify SoC chip designs. Youll also work closely with software, physical design, silicon bring-up and validation teams to enable a successful software integration, implementation, silicon bringup and deliver quality silicon.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongs available technologies.
Review code developed by other developers 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/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Contribute to CPU front-end designs, emphasizing micro-architecture and RTL design for next generation CPU.
Propose performance enhancing micro-architecture features with efficiency in mind. Work with architects and performance teams for trade-off studies.
Deliver designs that meet power, performance, and area (PPA) goals with production quality.
Interpret techniques into design constructs and languages in order to provide guidance to and participate in the performance modeling effort.