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Required Research Scientist, GenAI & Computer Vision (Pixel Synthesis)
The Reality Labs organization is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and were just getting started.
Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as DL, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to large-scale production that has the potential to reach billions of users.
Research Scientist, GenAI & Computer Vision (Pixel Synthesis) Responsibilities
Help to develop the next generation of GenAI models for avatar creation and animation.
Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Disseminate findings of research by publishing papers in high impact conferences and journals.

We are seeking experienced full-stack Software Engineers to join our product 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
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.

We are seeking an experienced Software Engineer to join the Software Engineering (Infrastructure) team. The Software Engineering (Infrastructure) team builds large distributed components. Our code serves millions of requests per second and it does so with sub-second latency and in a fault-tolerant manner. We handle everything from our scale data storage, to synchronization and coordination of large server clusters, to providing a runtime environment for front end code. We are looking for candidates who share a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude.
Software Engineer (Leadership) - Infrastructure Responsibilities
Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
Effectively communicate complex features and systems in detail
Understand industry & company-wide trends to help assess & develop new technologies
Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
Lead long term technical vision and roadmap for large cross-company efforts
Suggest, collect and synthesize requirements and create an effective feature roadmap.

As a Business Applications Solutions Manager, you will be responsible for designing and planning business processes to drive operational effectiveness. You will evaluate and select the most appropriate systems and solutions, aligning technology with strategic business needs. You will participate in projects that span multiple departments and work closely with external vendors to implement and optimize business applications. In addition, you will oversee project budgets, manage software license renewals, and handle user management to ensure seamless day-to-day operations.
What am I going to do?
Design and plan business processes to enhance operational efficiency and scalability.
Assess business needs and select appropriate systems and solutions.
Manage and optimize core business applications (e.g., CRM, automation, integrations, analytics).
Oversee and document system integrations and automation initiatives.
Delegate tasks, set priorities, and coordinate with internal teams and stakeholders.
Produce clear, functional, and technical documentation for system processes.
Lead collaborations with external vendors and cross-departmental project teams.
Manage project budgets, software license renewals, and user access.
Drive adoption and continuous improvement of business applications.

Sales engineer (SE) is an experienced engineer that takes part in all sales activity in Benelux. This SE position requires 2-5 years of experience in the technical field of data / VOIP /Telephony Software and Hardware. The SE should have system hands on and engineering capabilities while understanding the overall customer requirements to be in a position to lead him to the best solution of both AudioCodes and partner products. The SE is in charge of all technical activities in and after the sales process. The SE is part of the regions sales organization. It is expected that this individual acquires in depth knowledge in all AudioCodes products throughout the training on the job and beyond as well as continuously gains new knowledge. The SE is responsible for providing technical consulting to the sales force for all standard AudioCodes products and be involved actively (hands on) in customer support through the pre-sale and post-sales process. During the post-sales phase, the positions primary goal is to be the focal point for all technical issues related to a customer (technical account management) excluding the actual technical services management. Hereafter, a more detailed list of primary duties and responsibilities:
* Provide technical assistance to the sales force during (onsite) sales calls
* Provide pre-sales Technical Support (Hands on capabilities - a must)
* Provide Technical Support during first time installation of new products together with AudioCodes partners and end users
* Pre-sales technical interface to the channel/partner while nurturing and managing of technical knowledge transfer to the partners
* Analyze the technical fit of AudioCodes products against the prospects and customers requirements
* Deliver customer presentations and hands-on product demonstrations, hence product setup knowledge is a requirement
* Provide product training to customers during the pre-sales and post-sales phase.
* Lead RFPs/RFI technical responses
* Provide technical assistance to Marketing for regional events (e.g. seminars, road shows etc.)
* Supervise and manage interoperability tests for systems being the interface between the customer /carrier and AudioCodes PM + BL
* Support CPE interoperability tests between carrier and AudioCodes in his region
* Leading Proof of Concept activities in the region

Required Software Engineer, Machine Learning
We are 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 optimisation 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
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

We are looking for a Gaming Business Analyst.
What you'll be doing:
Identify key business questions and define corresponding data events and metrics to ensure actionable insights.
Deep dive analysis in various game aspects, including economy, monetization, and gameplay, to identify opportunities for optimization and enhanced player engagement
Conduct overall business reviews to monitor User Acquisition (UA) performance and key profitability KPIs, ensuring alignment with company objectives and growth targets.

we are looking for an experienced BI Developer with strong analytical and engineering capabilities and a business-oriented mindset to join our team. We seek a candidate who can independently lead end-to-end data processes, understand business challenges, and deliver actionable insights that align with organizational goals. As a key member of our team, youll need the ability to partner with cross-functional teams, communicate effectively with both technical and non-technical stakeholders, and think strategically to address evolving business needs.We are searching for a curious and initiative-taking individual who can delve deep into business problems, perform in-depth analyses on datasets containing millions of records per day, and extract impactful insights to support data-driven decisions. This is a unique opportunity for someone with 4+ years of BI development and analytical experience to play an essential role in scaling operations within a rapidly growing, dynamic environment.
If youre passionate about turning data into actionable strategies and thrive on solving complex business problems, Aura is the place for you to grow and make a difference.
What you'll be doing:
Analyze complex datasets and extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making.
Design, manage and maintain analytics products and BI solutions for the entire group.
Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders. Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs.
Work closely with multiple teams (R&D, Product, Monetization and more) to understand business objectives and provide analytical support for strategic initiatives. Translate business requirements into actionable analytical tasks and deliverables. Proactively identify opportunities for process improvement and optimization based on data-driven insights.

We are looking for a passionate Senior Data Scientist to develop and deploy sophisticated user-level models and real-time online learning systems. In this role, you'll work end-to-end on building personalized predictive models that adapt as user behavior evolves, enabling dynamic decision-making. Your work will directly impact user experience, drive revenue growth, and enhance data-driven decision making across the organization by transforming how we understand and respond to individual user patterns in real time. You will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and research, develop & deploy your solution along with relevant support.
What you'll be doing:
Design and implement end-to-end solutions from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms that will impact millions of users.
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

We are seeking experienced full-stack Software Engineers to join our product 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, Product Responsibilities
Full stack web/mobile application development with a variety of coding languages
Create consumer products and features using internal programming language Hack
Implement web or mobile interfaces using XHTML, CSS, and JavaScript
Work closely with our PM and design teams to define feature specifications and build the next generation of products leveraging frameworks such as React & React Native
Work closely with operations and infrastructure to build and scale back-end services
Build report interfaces and data feeds
Complete medium to large features (each with many tasks) independently without guidance
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems.

the pioneer of SWIR sensing technology. Based on nanophotonics research, technology is disrupting the world of vision sensors for the automotive market along with other exciting applications.
We are looking for a NPI/Configuration Engineer to join our team. The Configuration Engineer will be responsible for leading new product introduction projects and ensuring a successful transition from development to manufacturing.

Your Day to Day
Own all engineering documentation: drawings, BOMs, work instructions, PNs.
Manage engineering change processes (ECOs, MCOs, product revisions) end-to-end.
Maintain data integrity in PDM/PLM and ERP systems (Priority, SolidPDM advantage).
Drive new product introduction (NPI) from design to small-scale and mass production (including DFM/DFA/DFT, vendor support, and configuration control).
Participate in design reviews and support risk mitigation during development.
Identify opportunities and lead cost reduction initiatives.

Why should you?
Leading the SWIR revolution: TriEye is redefining the way machine vision systems perceive the environment with its breakthrough Short Wave Infrared (SWIR) sensing technology providing HD SWIR imaging and 3D deterministic depth information under all lighting and weather conditions.
Timing is everything: This is your opportunity to be a part of a fast-growing deep-tech company backed by industry leaders, as it enters a significant stage of global growth
Make yourself at home: Our beautiful and modern offices in Tel Aviv, conveniently situated near all public transportation options, are designed to provide you with a comfortable and welcoming environment
Unlocking your potential: Be a part of an empowering, multidisciplinary team who strongly believes in constant learning and knowledge sharing, offering a range of growth opportunities
Competitive benefits package: Free gym membership, parking, holidays and birthday gifts, Cibus, generous vacation allowance, happy hours and team events, etc.

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have demonstrated experience in data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, demonstrated experience in operational skills to drive efficiency and speed, project management leadership, and a comprehensive vision for how data can proactively improve companies.
Data Engineering Manager, Analytics Responsibilities
Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
Define the processes needed to achieve operational efficency in all areas, including project management and system reliability.
Build a high-quality BI and Data Warehousing team and design the team to scale.
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Manage data warehouse plans across a product vertical.
Drive the design, building, and launching of new data models and data pipelines in production.
Drive data quality across the product vertical and related business areas.
Manage the delivery of high impact dashboards and data visualizations.
Define and manage SLAs for all data sets and processes running in production.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications. 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 varied 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 development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics 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.

The Product Business Intelligence team is looking for an experienced, data-driven, and highly motivated senior Product Analyst to join our data team that is responsible for the IronSource network. Our team's mission is growing the network through data driven insights and decision making. In team we partner with leadership, product managers, engineers, revenue teams, and other stakeholders, to uncover opportunities, deliver actionable insights, and provide recommendations that drive business outcomes and address IronSource's data and analytical needs.
What you'll be doing
Partner with leadership and Product to develop long term strategy and leverage data-driven insights to provide recommendations, breaking down strategic opportunities into actionable, clear roadmaps.
Define, instrument, and monitor key product and network KPIs to track progress, evaluate product performance, and assess overall health.
Identify and promote opportunities for impact across different product areas while analyze large datasets from multiple products to deliver insights that will guide product development.
Identify, evaluate, and support the execution of key business opportunities with data-backed insights, ensuring measurable outcomes
Own, maintain, and develop the reporting data pipeline for specific products and custom dashboards.
Work with various relational and non-relational databases, including Presto, BigQuery, Redshift, MySQL, and more.