דרושים » AI » Cost-Efficient Inference Serving and Routing Optimization- MSc and PHD-Summer internship 2025

The Hybrid Cloud department Research is looking for an outstanding research intern with experience and interest in Systems innovation to accelerate AI and data management, cloud computing and distributed systems. We have a number of openings in which you can be a part of a research team in the following areas:
Solving real-world problems in managing data for Generative AI
Building the next generation runtime infrastructure for AI workloads.
Cloud and on-prem control and management plane for AI workloads
Agentic workflows
Our summer internship program offer you an opportunity to join our research team for 3 months internship (working 5 days a week) in either Haifa or Tel Aviv sites (according to each internship). During the internship, you will be working with our talented researcher on top projects, helping create the next generation of AI, security, quantum, cloud and much more.

We are seeking talented undergraduate students to join our AI Middleware research group. You will be part of a team working on groundbreaking middleware solutions that enhance AI performance, optimization, and scalability. You will be exposed to Kubernetes, cloud technologies, and state-of-the-art AI frameworks, contributing to advanced AI research projects focused on inference, tuning, and Agentic AI systems.
We offer:
- Opportunities to work on high-quality research projects with a world-class team.
- Exposure to the latest AI and cloud technologies in the industry.
- A collaborative and innovative research environment.
If you're ready to push the boundaries of AI middleware research, we encourage you to apply!

Fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup, a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

About the role:
Our data science team is looking for a strong researcher with proficiency in modern AI methods (Computer Vision/ML/ Deep / Gen AI), a passion for innovation and ingenuity in defining and turning theoretical problems into products.
In this role, you will utilize our unique clinical data (tabular, visual and textual) to plan and build game-changing based solutions that will provide immediate medical benefit for millions of people around the world. You will have an end to end responsibility for your models - from ideation and research to full productization and monitoring.
Collaborating in research and production environments, you must have proven experience in researching and developing machine learning algorithms and good interpersonal skills. We highly appreciate independent thinkers and doers.

What you'll be doing:
Lead the research and development of new product features backed by state of the art clinical AI
Develop and advance our AI algorithms to drive our Ks clinics medical workflows - both on provider and patient side
Integrate AI algorithms with ML solutions tailored to a specific clinical need
Design and build scalable and efficient pipelines for data preprocessing, information extraction, and model training
Collaborate with our MLE and AI engineering teams to deploy scalable solutions
Stay up-to-date with the latest AI research and best practices, and integrate them into our products
Communicate technical concepts and solutions to non-technical stakeholder

Our Machine Learning team is at the forefront of enabling and optimizing high-performance deep learning applications on edge devices. We are looking for a versatile and highly motivated Machine Learning Engineer with a strong R&D background to join our team.
This role requires a solid mathematical foundation, a passion for AI research, and the ability to quickly adapt to new technologies. You should feel comfortable reading and implementing academic papers while also being deeply system-orientedable to dive into hardware architecture, software toolchains, and customer applications as needed.
At our company, developing and deploying deep learning models is software-intensive, and candidates are expected to have strong programming skills in scientific computing. As an AI chip company, we highly value software-hardware integration skills, as our ultimate goal is to ensure seamless optimization for our processors.
Beyond technical expertise, we are looking for candidates who demonstrate:
Ownership and accountability taking initiative and responsibility for driving projects to completion.
Professionalism delivering high-quality work while staying up to date with the latest advancements in AI.
Teamwork collaborating effectively across teams to integrate AI solutions into real-world applications.
We encourage intellectual curiosity and a keen interest in exploring AI trends, discussing future directions, and staying informed about market developments. Candidates should enjoy working in an open, well-documented manner and be eager to present their work to peers and stakeholders.
Responsibilities
Develop and optimize Transformer-based and Generative AI models for deployment on our edge AI processors.
Stay at the forefront of Generative AI and NN computer vision research, driving innovation in edge AI applications.
Benchmark and enhance vision and generative models, ensuring seamless integration with our AI toolchain, through our Model Zoo.
Collaborate with architecture and other software teams to co-optimize models for our unique processing architecture.
Support and engage with tier-1 customers, guiding them in deploying and optimizing their AI models on our platform.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day We are looking for a brilliant and highly motivated AI Engineer with a focus on NLP to join our team that is revolutionizing how audio and video content is transcribed, analyzed, understood, and edited. You will work closely with our product and other engineering teams, as your research and development will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the boundaries of innovation in product and bring the most value to our customers.

We're looking for a AI Research Scientist to join us in spreading our power and push the boundaries of AI in cybersecurity.
You'll be at the forefront of developing novel AI modelsfocusing transformers and LLMsthat advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing us as a thought leader at the intersection of AI and cybersecurity.
WHAT YOULL DO
Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for our products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day We’re on the lookout for a hands-on, experienced MLOps Team Lead to help build and grow our team at Riverside. You’ll play a key role in driving AI innovation by building fast, scalable, cost-efficient, and reliable ML infrastructure that enables our AI model development across multiple modalities and cloud environments. You’ll work closely with AI researchers, software engineers, and DevOps to create smooth ML workflows, manage large-scale GPU clusters, build data pipelines, and ensure everything runs efficiently. You’ll also mentor a team, drive a culture of excellence and good vibes, and take ownership of the employee's full lifecycle, from recruitment to growth and development.

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 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 looking for an experienced Machine Learning Engineer who is passionate about developing scalable and robust machine learning infrastructures and has a keen interest in leveraging advanced AI models to drive significant business impact. The job involves creating and maintaining high-performance model inference systems that support both batch and real-time AI processing in cloud and on-premises environments.
Responsibilities:
Design and implement scalable, high-availability machine learning inference architectures.
Develop robust systems that efficiently manage the deployment and operation of complex models like LLMs and anomaly detectors.
Utilize AWS technologies such as SageMaker, Lambda, SQS, and Redshift to optimize the performance and scalability of our machine learning infrastructure.
Collaborate with data scientists and AI researchers to ensure seamless integration and optimal performance of machine learning models.
Build and maintain monitoring systems to ensure the stability and efficiency of the machine learning infrastructure.
Troubleshoot and resolve issues related to model performance, infrastructure bottlenecks, and system failures.
Maintain strong communication skills and collaborate effectively within a dynamic team environment.

we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We seek an experienced Machine Learning software engineer to join our ML Team. In this role, you will develop efficient and scalable code to create and operate ML systems for our production and Infra environments
A day in the life and how youll make an impact: Productization of algorithms - Optimized for large scale algo serving.
* Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
* Continuously explore ways to improve our code and ML Infrastructure
* Collaborate with team members to define future technology and features.