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We are seeking a student with a passion for AI to join our GenAI group, focused on driving product innovation through our AI-powered solutions. This role offers a unique opportunity to work on cutting-edge projects, where you will validate, optimize, and develop LLM, knowledge bases and agentic capabilities that enhance the performance and scalability of our AI platform. This person will be involved in solving complex, real-world challenges while making a tangible impact on the evolution of our AI products. What youll do: Optimize, evaluate and refine AI solutions to enhance performance, accuracy, and efficiency Expand training and testing data, leveraging both hand-crafted and automated examples Address challenges in AI architecture scalability and reliability Stay at the forefront of GenAI advancements and best practices
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are looking for a GTM Engineer who will focus on collecting signals, building internal tools, and making our go-to-market engine smarter. Youll identify and connect signals from product usage, web activity, and GTM tools like Clay, ZoomInfo, Octave, Cargo, n8n, and Airops. Youll create systems and automations that help our growth, marketing, and sales teams focus on the right opportunities at the right time. You have hands-on experience in a GTM function such as growth, Demand Generation, or SDR and understand how data and tools drive pipeline. Youre comfortable building workflows, experimenting, and finding ways to make teams more effective. You bring a hacker mindset and out-of-the-box thinking to uncover new signals and creative ways to capture buyer intent.
Hybrid:
Yes

The role Own, design, and evolve our production cloud platform (AWS), Kubernetes, and IaC (Terraform) so teams ship reliably, safely, and fast.
What youll do
* Architect, build, and run resilient, scalable cloud infrastructure; drive AWS Well-Architected pillars (operational excellence, security, reliability, performance, cost, sustainability).
* Champion GitOps (e.g., Argo CD): declarative configs, PR-driven changes, continuous reconciliation.
* Implement and evolve CI/CD (GitHub Actions/Argo CD), secrets management, policy-as-code, and environment promotion.
* Build first-class observability (OpenTelemetry + Prometheus) across apps and infra.
* Partner with internal and external teams (engineers, data, vendors, customers) to deliver platform capabilities and service.
* Lead/mentor engineers; drive Terraform standards, modules, and reviews.
* Optimize cost and efficiency (FinOps) while maintaining reliability.
* Define SLOs/SLIs and error budgets; lead incident readiness, response, and post-mortems.

About us:
we are the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, our company empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, our company enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes

What you'll do
Design, implement, and own robust automation workflows that execute outbound sales development processes.
Coordinate multi-agent workflows to ensure reliability, monitoring, and smooth handoffs.
Set standards for research, sequencing, and scheduling automation; align with pipeline and revenue goals.
Convert GTM goals and ICP definitions into scalable prompts, data flows, and automated playbooks that support end-to-end outbound motions.
Integrate third-party tools, APIs, and internal systems.
Run A/B tests on prompts, templates, and timing; track conversions and the impacts of the different managed channels.
Evaluate and standardize tooling, templates, and agents; maintain a backlog, release notes, and a clear incident/rollback process.
Collaborate with other team functions to ensure performance reporting: meetings set, conversion lift, pipeline/revenue contribution, cycle time, and cost-per-meeting.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team! Which department will you join? The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems. The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience. The group is comprised of top-notch developers and researchers and is headed by world-class scientists. This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges from object detection and scene understanding to 3D perception using large-scale, real-world in-house datasets and state-of-the-art deep learning models.
What will your job look like:
Develop and train neural networks for complex perception tasks in real-world driving environments.
Design and analyze deep learning pipelines, from data to deployment.
Collaborate with algorithm, software, and data experts to deliver production-ready models.
Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

Join our innovative team at our company, where you will play a pivotal role in developing advanced deep neural networks essential for our key products. You will join a collaborative team dedicated to developing real-time vision models that power the vehicle's understanding of its environment, combining research with hands-on product development. As part of our team, you will be responsible for the full cycle of deep learning R&D, modeling new solutions and enhancing the performance of existing ones, ensuring our solutions meet the needs of our company's autonomous vehicle technologies, advanced driver-assistance systems and external customers. This position offers the opportunity to be part of a fast-paced and forward-thinking environment, for those who are equally comfortable exploring new techniques and refining existing models to production-grade quality.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision
Conduct goal-oriented research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms to improve performance and scalability
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research latest advancements in deep learning, multi-task learning, AI architectures and apply them to enhance our algorithms.

You will be part of our copmpany's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our copmpany's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.

ActiveFence is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.


About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

Which department will you join? The SOC verification group owns the important and challenging job of verifying our company's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You will manage a team of 5 engineers
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

We are looking for a frontend -Focused QA Engineer to join our team, responsible for validating core web application components and ensuring a seamless integration within the product while maintaining a high-quality User Experience. This role is ideal for a QA professional with strong frontend testing expertise, focusing on UI functionality, UX / UI consistency, and cross-browser compatibility. While primarily frontend -focused, this position also involves API validation to ensure proper backend integration. You will work closely with developers, product managers, and designers to maintain and improve the quality of our core web platform. What Youll Do: Develop, execute, and maintain TEST plans. Perform UI testing, ensuring web applications are functional, responsive, and aligned with UX / UI standards. Work closely with developers and product managers to define acceptance criteria and ensure high-quality feature releases. Use various testing tools (Postman, Swagger, browser dev tools) to validate web behaviors, API interactions, and backend responses. TEST UI components using Storybook, ensuring proper rendering, interactions, and design consistency across different use cases. Operate in a cloud-based environment (AWS preferred) to TEST and validate infrastructure components.

Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.