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we are looking for a Research Scientist .
As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.
What you will be doing:
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

We are looking for a highly organized and detail-oriented Intern to join our System Monitoring and Controls team at our company. This is a full time back office intern position focused entirely on computer-based work, data handling, task coordination, and supporting internal operational processes for our Energy Storage System projects.
This role requires precision, ownership, and an ability to manage multiple tasks in parallel while maintaining structure and clarity. You will be responsible for monitoring system data, scheduling, routing issues to the relevant experts, and ensuring smooth operational flow behind the scenes.
Responsibilities:

Data Collection and Entry:
Collecting and entering operational data from Energy Storage System plants while ensuring complete accuracy.
Data Review and Analysis:
Identifying trends, inconsistencies, and anomalies in the data to support system performance insights.
System Performance Monitoring:
Tracking performance dashboards, monitoring downtime or irregularities, and ensuring issues are documented and followed through.
Issue Routing:
Identifying system alerts and routing them to the correct internal expert.
Ensuring issues are being handled and not remaining open for too long.
You do not fix technical problems, you manage the flow.
Scheduling & Coordination:
Managing calendars, deadlines, and internal scheduling to ensure tasks occur at the right time and according to system needs.
Documentation & Reporting:
Preparing clear summaries, reports, and logs to support internal decision making and project oversight.
Standards & Compliance:
Ensuring data handling and documentation meet internal guidelines and industry requirements.

We're looking for a Senior Talent Acquisition Partner - R&D who's genuinely curious about AI and technology, knows how to earn the trust of technical leaders, navigates ambiguity with confidence, and pushes hiring processes forward.
What you will be doing:
Own the full recruiting lifecycle for global R&D roles across Engineering, Research, Data, and Product teams in Israel, the UK, and the US.
Partner closely with R&D leadership and hiring managers to define hiring strategy, calibrate talent profiles, and advise on market realities.
Lead proactive sourcing strategies to identify and engage exceptional passive talent, with a strong emphasis on the AI/ML, deep learning, and generative AI ecosystem.
Drive structured, fast-moving hiring processes with clear stakeholder communication, sharp prioritization, and zero drop-off in candidate care.
Leverage AI-powered tools to build smarter, more efficient recruiting workflows.
Identify friction points in the hiring process and lead the implementation of solutions - treating recruitment operations with the same rigor you'd expect from an engineering team.
Partner with the HR team to drive initiatives that strengthen manager capabilities, elevate the candidate journey, and contribute to an exceptional employee experience across the organization.

We are looking for a sharp Marketing Analyst to join our Marketing Analytics team and help drive data-driven growth. In this role, you will combine marketing and business expertise with scalable analytical solutions and innovative measurement methodologies. You will collaborate with internal teams and external partners to enhance measurement capabilities, uncover growth opportunities, and support optimized investment decisions. This role is essential to scaling our marketing efforts through deep insights and strategic analysis. If you have previous experience in Paid Search and Affiliate marketing and are passionate about data-driven growth, this might be a good fit for you.

Roles and Responsibilities:
Analyze and measure marketing performance across Paid Search, Affiliate, and additional marketing channels.
Evaluate marketing investment efficiency and identify new optimization opportunities.
Build analytical frameworks and scalable data solutions for the Growth team.
Collaborate with affiliate partners and third-party vendors to evaluate performance, attribution, and partnership effectiveness.
Develop AI-driven analytical solutions and measurement capabilities.

We are looking for a sharp and driven Data Solutions Analyst to join a newly formed team and help build the analytical foundations behind some of our strategic growth initiatives from the ground up. This is a unique opportunity to influence how new businesses operate and scale across Amazon, D2C, Paid Media, and emerging growth channels. You will have ownership over both the measurement frameworks and the solutions that drive business growth.

Working at the intersection of Data, Marketing, Product, and Business, you will identify opportunities, define success metrics, uncover insights, and build the solutions needed to turn those insights into action. This role combines analytical ownership with hands-on solution development, leveraging data, automation, AI, and modern tooling to solve business challenges end-to-end. Success in this role is measured not only by the quality of your analysis, but by your ability to translate business challenges into scalable solutions that drive measurable impact.

Roles and Responsibilities:
Build analytical infrastructure, measurement frameworks, and decision-support capabilities from the ground up for new and rapidly growing business units.
Evaluate performance across Amazon, D2C, Paid Search, Paid Social, and emerging channels, identifying growth opportunities, business risks, and areas for optimization.
Translate business challenges into scalable solutions by combining AI powered automation, agents, workflows, and building tools that drive business impact.
Design, build, and maintain dashboards, monitoring systems, analytical products, and self-service tools that enable teams to make faster and better decisions.
Own the Semantic Layer: Maintain and scale our unified BigQuery Semantic Layer, ensuring a single source of truth for business and analytics metrics.
Partner closely with Marketing, Product, and Business stakeholders to understand business needs and drive end to end solutions from idea to implementation.

We are looking for a brilliant Data Engineer- an independent, logical thinker who enjoys solving complex problems and building scalable data solutions. You will own and evolve the data foundations that power Product, Finance, Operations, and Business teams. Working closely with diverse stakeholders, Analysts, and R&D teams, you will serve as a technical partner, translating complex business challenges into robust data models, pipelines, and infrastructure. You should be able to translate business and data requirements into scalable data pipelines and data models, integrating multiple internal and external data sources using the most appropriate technologies. Beyond building pipelines, you will improve data quality, modernize existing data assets, automate manual workflows, and help create a clean, reliable, and scalable data ecosystem that supports the company's growth.

Roles and Responsibilities:
Design and build end-to-end data pipelines - From defining source structures and integrating APIs to delivering clean, trusted datasets that enable analytics, reporting, and operational workflows.
Translate business needs into scalable data solutions based on business priorities and the product roadmap, understand technical requirements, and deliver purpose-built pipelines and tools.
Act as the technical partner for Product, Finance, Operations, and R&D teams, translating business needs into scalable data models, pipelines, and internal tools while ensuring reliable, trusted data across the organization.
Write high-quality, maintainable code, while following best practices and leveraging modern data tooling and CI/CD principles.
Drive data quality and reliability - Monitor, validate, troubleshoot, and continuously improve data quality and pipeline reliability across the data platform.

we are looking for a Product Manager .
This is a rare opportunity to:

Have a direct impact on AI performance and GPU efficiency at scale
Combine deep technical thinking with product ownership
Own product decisions that influence real-world system behavior
As a Product Manager, you will define how next-generation AI workloads interact with high-performance storage and networking systems.
This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.
Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.
What You'll Do:
Define and execute product strategy for platform and infrastructure layer
Own the product roadmap - balancing innovation, performance, and customer needs
Work closely with engineering to design and deliver high-performance capabilities
Translate complex technical challenges into clear product decisions and priorities
Partner with customers and internal teams to understand real-world use cases and constraints
Stay ahead of trends in storage, networking, and distributed systems
Collaborate with top engineers, architects, and customers solving cutting-edge challenges

we are looking for a Senior Software Engineer.
You will be responsible for building the "brain" of main product, which is a distributed file system -the layer that manages orchestration, metadata, cluster membership, and implements complex logic required to manage hundreds of thousands of nodes, for cluster scaling, automated failover, zero-downtime rolling upgrades and "self-healing" to detect and remediate hardware failures or network partitions.
Design, implement, unit test, and maintain services that coordinate and the cluster
Optimize Performance: Work with complex data structures like spanning trees or LSM-Trees, concurrency control mechanisms (MVCC) to improve speed and efficiency.
Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact