Senior Software Engineer - Machine Learning Research

Join the Egis Group as an Integration Engineer, where you will play a critical role in enhancing systems integration. This position involves working with cross-functional teams to design, implement, and maintain integration solutions that streamline processes and improve operational efficiency.

Join our dynamic team in Jerusalem as a Systems Interface Specialist for Urban Railway and Light Rail Transit (LRT) projects. You will be a vital part of the Blue Line LRT project team, where Egis has been designated as the Engineering Monitoring Company (EMC). Your primary responsibilities will include conducting engineering reviews and design audits focused on Interface Management, representing the Client in alignment with the contract established between the State and the Project Company.Your expertise will be crucial in managing extensive requirements related to project interfaces between the scope delivered by the Project Company, both internally and externally. Collaborating closely with the Integration Manager, you will spearhead systematic audits and monitor the governance and maturity of interface management in accordance with contractual obligations, ensuring effective change management and control throughout the project lifecycle.Regular communication with specialist engineers across various disciplines including track, electrification, signalling, and civil engineering will be essential. The ideal candidate will possess strong organizational skills, thrive in teamwork environments, demonstrate exceptional problem-solving abilities, and maintain a proactive approach to innovation.As the Interface Specialist, you will oversee the assessment of key systems engineering documents, requiring a comprehensive understanding of industry standards, design criteria, and the integration of civil, mechanical, electrical, and railway systems throughout the project duration. Furthermore, excellent verbal and written communication skills are essential for promoting our quality and safety values to external partners, including vendors and subcontractors. Familiarity with contractual and technical documents, along with a capacity to elicit contractual requirements in collaboration with technical experts, is necessary.

Role Overview Speechify is looking for an iOS Core Product Software Engineer to join the team in Jerusalem, Israel. This role focuses on building and improving mobile applications that help users read more easily and effectively. The position sits at the heart of our core product work. What You Will Do Develop and maintain iOS features for Speechify’s main product Collaborate with colleagues in Jerusalem to deliver updates and new capabilities Apply iOS development experience to solve real user needs and improve the reading experience Location This position is based in Jerusalem, Israel.

Role overview Speechify seeks a Senior Software Engineer for its Core Experiences team based in Jerusalem, Israel. This group builds and improves the software that shapes how people interact with Speechify’s products. The work supports Speechify’s mission to make reading accessible for everyone. What you will do Design, develop, and refine features that influence the core user experience on Speechify’s platforms. Collaborate with engineers and designers to deliver software that addresses real user needs. Use modern technologies to create solutions that are reliable and enjoyable for users. The team The Core Experiences team brings together engineers and designers who care about accessibility and high product quality. The group values collaboration and creative problem-solving in their daily work.

Join Becton Dickinson as an Engineer Intern and gain hands-on experience in a dynamic and innovative environment. This full-time internship offers you the opportunity to work on exciting engineering projects while collaborating with experienced professionals in the field.

Speechify builds text-to-speech tools that help over 50 million people turn written content, PDFs, books, Google Docs, news articles, and websites, into audio. Our products span iOS, Android, Mac, Chrome, and web, and have earned recognition from Google (Chrome Extension of the Year) and Apple (2025 Design Award for Inclusivity). Our fully remote team brings together nearly 200 people from top companies like Amazon, Microsoft, and Google, as well as alumni from Stanford, Stripe, and Vercel. Speechify’s culture values technical excellence, clear communication, and strong results. We keep our structure flat: anyone can lead by showing impact. Role overview The Platform Software Engineer will join the team responsible for building and maintaining backend services that power Speechify’s products. This includes areas such as payments, analytics, subscriptions, and integrations with external APIs. The role involves shaping product decisions, improving user experience, and working closely with other teams to support our growth. What you will do Design, build, and maintain APIs, including the public TTS API and internal APIs for payments, subscriptions, authentication, and consumption tracking, balancing business needs and scalability. Own and improve the backend API ecosystem, focusing on performance and long-term maintainability. Contribute to B2B solutions, especially around customization and integration for enterprise clients. Work with cross-functional teams to ensure backend architecture supports product goals and delivers a strong user experience. Interview process The interview process includes several technical interviews, usually completed within one week. Location This is a remote position based in Jerusalem, Israel.

Who We AreLightricks is an innovative AI-focused company dedicated to developing state-of-the-art content creation technologies designed for businesses and studios. Our mission is to seamlessly connect imagination with creation. At the heart of our operations lies LTX-2, an open-source generative video model engineered to deliver stunning, high-fidelity video output at unparalleled speeds. It not only fuels our proprietary products but also supports a diverse ecosystem of partners via API integrations.Globally recognized for revolutionizing consumer creativity, our flagship product, Facetune, has introduced AI-driven visual expression to countless users around the world. We pride ourselves on blending rigorous research, user-centric design, and comprehensive execution from concept to completion, making advanced expression accessible to everyone.About the RoleIn your role as a Large Scale Training Engineer, you will be instrumental in optimizing the training throughput of our internal framework, empowering researchers to explore and develop novel model concepts. This position requires exceptional engineering capabilities for designing, implementing, and refining cutting-edge AI models, alongside a strong foundation in writing robust machine learning code and a profound understanding of supercomputer performance. Your skills in performance optimization, expertise in distributed systems, and capability to troubleshoot will be vital, as our framework executes extensive computations across numerous virtual machines.This opportunity is tailored for individuals who possess not only technical prowess but also a fervent passion for advancing AI and machine learning through groundbreaking engineering and collaborative research efforts.Key ResponsibilitiesProfile and streamline the training process to ensure optimal efficiency and effectiveness, including the enhancement of multimodal data pipelines and data storage techniques.Create high-performance TPU/GPU/CPU kernels and incorporate advanced methodologies into our training framework to maximize hardware utilization.Leverage your knowledge of hardware features to implement significant optimizations and provide guidance on hardware/software co-designs.Collaborate with researchers to develop model architectures that promote efficient training and inference.Design, maintain, and evolve a high-quality, shared codebase, emphasizing correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance needs.