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we are 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.

We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Metas successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Meta.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) 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 Meta's unparalleled data infrastructure.
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.

Our company is one of the world's fastest-growing mobile game companies, providing entertainment to millions of active users across the universe.
The company is headquartered in the heart of Tel Aviv.
We are seeking an experienced developer with expertise in Gen-AI products, to play a significant role in the development of new, AI-powered applications.
Responsibilities:
Design and develop innovative, state-of-the-art, Gen-AI applications and products.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for AI-driven applications.
Work in a dynamic, fast-paced environment where your code contributes directly to our growth and efficiency.

As a Simulation/Graphics Engineer in Meta Reality Labs, you will help build simulation tools and synthetic data capabilities which are used for developing, training and validating state-of-the-art computer vision and deep learning algorithms that power every RL product. These roles are ideal for someone passionate about AR/VR, computer graphics and creating a real-time simulation of the real world.
Simulations Engineer - Reality Labs - Tel Aviv Responsibilities
Develop sensor simulation features that enable realistic synthetic data generation for computer vision algorithms.
Collaborate with cross-functional engineering and research teams in computer vision, machine learning, graphics and art
Work with production teams to optimize data generation pipelines to achieve data-on-the-fly
Write high-quality, performant, and maintainable code

Business Engineering is looking for impact-focused, entrepreneurial engineers ready to bring their ideas and make a difference. We are technology experts that apply our software engineering skills to bring a unique blend of business and technology expertise to ensure our partners succeed. Our team is at the intersection of business and innovation where you will execute on solving real-world business challenges through platforms and community in many of todays most exciting industries and products. These include Video, Commerce, Monetization, Metaverse, Gaming, Creators, AI, Messaging and more.

You will write scalable production-grade code across platforms in collaboration with other product engineering teams. You will get to learn and build on different tech stacks and languages. You will use your entrepreneurial passion and the freedom that the role provides to create your own opportunities and choose how you make an impact.

The work we do exceeds the boundaries of what is possible quickly, and at scale. Our work transcends technology and ensures the solutions we build translates into prosperity for all. Our code is designed to engineer and accelerate business growth. Growth is great. Rapid growth is better. Our approach aims to maximize positive impact for our partners as well as the billions of people that use their products and services.
Business Engineer - Tel Aviv Responsibilities
Build new products and improve existing ones in collaboration with Facebook product engineering teams to meet business needs
Build & maintain scaled capabilities required to drive product adoption & spend growth across partners to meet business needs
Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
Design, build & Integrate end-to-end systems and launch-plan strategies
Use broad range of technical and soft skills to build productive relationships with our partners, and independently resolve complex technical and business needs
Use expertise and product insight to deliver high-quality project/integration/partner engagements, while influencing product roadmap to meet the business needs
Guide workflow changes, and gain consensus from stakeholders while driving toward solutions
Build and manage strong working relationships with technical counterparts. Mentor and share knowledge with peers, creating positive atmosphere amongst team
Coding, code reviews and provide constructive feedback while quickly actioning feedback from code reviews conducted of your code
Influence decision-making through presentation of data-centric business topics
Serve as a subject matter expert within Business Engineering and provide consultation on domain-level projects
Participate in interviewing and onboarding of new team members
Willingness to travel up to 20% of the time

As a Data Scientist , you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). 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 diverse set 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 developments biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Data Scientist, Product Analytics STE 18 Month Contract Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
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.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

We are looking for a Security Engineering Manager with experience supporting teams of engineers who focus on threat modeling, TTP identification, and detection engineering securing surfaces. Youll support a team of security engineers who work alongside Software Engineers and Offensive Security Engineers to identify critical assets, assess the top risks, and evaluate potential attacks against systems. You will be working across engineering teams supporting Corporate, Cloud, and Production systems, serving over 3.2 billion daily active users, by supporting teams developing detection and response automation leveraging both industry-standard and custom detection and response platforms. Engineers on the Surface Coverage team generate detection ideas utilizing some of the worlds largest data sets and build on top of hyper-scale data pipelines.
Security Engineering Manager - Surface Coverage, Detection Engineering Responsibilities
Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level
Participate in technical design and strategy
Measure the impact of your team and set clear expectations and goals
Partner with leadership to influence and drive org design, contribution and prioritization
Lead and guide engineering culture to sustain a high performance team
Integrate security in a constantly evolving environment where process is fluid and creative solutions are the norm
Build, cultivate, and maintain positive relationships with cross-functional partners to enable the teams ability to effectively and efficiently execute on project work
Hire, grow, and build a high performing team capable of achieving the teams mission
Work across partners in Product Management, Data Science, and Data Engineering to design and iterate on metrics and goals related to attack enumeration and detection coverage and validation

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

We are seeking a Full stack Team Leader (AI Platform) to manage the development, optimization, and integration of AI/ML Ops workflows in our Function-as-a-Service (FaaS) system. You will lead a team responsible for designing, deploying, and scaling cloud functions and AI/ML models, ensuring high performance, automation, and cost-efficiency.

The role involves implementing autoscaling policies, managing event-driven services, and collaborating with cross-functional teams, including AI/ML experts, in a fast-paced, agile environment. Strong expertise in cloud infrastructure, Kubernetes, FaaS, and AI/ML Ops is required, along with leadership experience.

What's it like to work at Dataloop?

Youll meet people of different ages coming from many different backgrounds, interests, skillsets, and skill levels. Your day can, and will, be dynamic as expected from a startup. We believe that nurturing people is important and that means regular 1x1 meetings with different levels of management that

will help you achieve any career goals you set for yourself. As were not a large enterprise yet - your voice has more value; there are a lot of opportunities for your opinions to be heard.

Join our Operation team. Help drive our threat monitoring and fraud detection platform securing organization funds all over the world.
Be part of the analysts team, work with customers and key POCs, to provide an additional level of security and confidence, by leveraging unique intelligence feeds, threat logs, and IOCs. Collaborate with our research team and various RnD teams as you help shape our product, help customers be more secure, and immerse yourself to the cyber fraud tech ecosystem.
Proactively monitor and review threats and suspicious events from customers.
Investigate alerts, triage, deep dive, and come up with proper action items and remediation plans.
Use multiple sources of data intelligence trust network, external threat feeds, etc.
Support customer's payment processes and workflows.
Maintain excellent customer satisfaction through professional, proactive and personal service.
Work closely with our research and development team.
Contribute to our knowledge base by creating fraud analysis reports and best practices.

What will you do: You’ll be Cynet’s secret agent in the world of malware. Leverage your security experience and learn the tradecraft of hackers worldwide and use that information to save our customers from hacker’s malicious attempts. How will you impact Cynet: Being at the center of the hacker world, proactively researching their tactics and finding new detection mechanisms will be the force that moves the Cynet product forward. Your finding will be implemented and incorporated in Cynet’s Autonomous Breach Protection platform to provide another layer of security to protect our customers.

For a growing and successful start up we seek a true leader with excellent technical and communication skills to help us expand our engineering team while maintaining a high technical standard and performance.
Our application runs thousands of custom data pipelines daily and serve thousands of organizations worldwide.
You will oversee a distributed engineering team of 5-7 developers (frontend and backend) responsible for developing our core product. You will work with the product and our architects to prioritize the backlog and optimize the work process and team efficiency. You will guide the team in developing cutting-edge solutions. Provide hands-on technical expertise and code reviews to ensure the highest quality of work. You will collaborate with stakeholders, possess strong technical skills, initiate and drive processes, manage projects within time constraints, and keep the team members motivated and engaged. You will be responsible for the performance of the team, including planning, execution, quality, and setting the team goals, objectives, and KPIs You will be responsible for the professional growth of the team members You will recruit and train new group members

We are seeking a highly skilled and motivated Senior data Science Lead to join our innovative R&D team. In this role, you will leverage your expertise in AI and Machine Learning to drive impactful solutions in the plant-based food industry. You will be hands on and lead a talented team of data scientists to develop and implement cutting-edge models that enhance our product offerings collaborating with cross-functional teams. If you are passionate about using AI to solve real-world problems and are excited about the future of sustainable food, we would love to hear from you.
Key responsibilities:
* Design, develop, and implement AI and Machine Learning models to solve complex challenges in the plant-based food sector.
* Oversee the deployment of models into production environments, ensuring they meet quality and performance standards.
* Collaborate with domain experts to incorporate specific knowledge into data models and solutions effectively
* Build, lead and mentor a team of data scientists, fostering a collaborative and innovative work environment.
* Stay updated with the latest advancements in AI and Machine Learning, applying best practices to enhance the team's projects.