לוח משרות דרושים NLP/Machine Learning בתל אביב יפו

Required Senior MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Machine Learning Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Machine Learning Engineer, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker

the brand grabs attention like nothing else in cybersecurity. And were growing like crazy, with $70M in Series C funding, 200% employee growth, and 300% revenue growth in 2024. Fueling growth are our game changing agentic AI security solutions, backed by a team and culture that makes one of Forbes Best Startup Employers in America, and a Business Insider startup to bet your career on.

Life at is all gas, no brakes. Were a team of relentless, collaborative go-getters pushing the boundaries of whats possible for security automation. Every role is an essential driver of success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? Wed love to see what you can bring to the team.

We are looking for an experienced LLM Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, craft and optimize high-quality prompts, and build datasets and benchmarks to evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model advancements and collaborating with a team of experts, wed love to hear from you!

What Will You Do?
Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
Craft and optimize high-quality prompts to enhance application functionality and output quality.
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
Mentor new team members and share your expertise to strengthen the team's collective knowledge.

We are looking for an Algo/ML Product Analyst to join our R&D center in TLV. The position is to be part of our Algo-Routing product team, responsible for our research on a wide variety of topics, providing data insights, helping drive optimization of the product and user experience. As an Algo Product Analyst youll be working closely with data scientists, algorithm developers, product managers, business teams and more.
All of our Product Analysts are all highly autonomous, highly valued members of the product team - leaders in their field, and product experts. They are curious and independent team members, passionate about tackling complex problems in a world of rich data and real-life user needs.
What You'll Do:
Take an integral part in developing our next generation of Algorithms to solve transit problems across the world.
Analyze product algorithmic behavior and product performance data, develop measures to ensure product health and data-driven decisions
Become the focal point for all data-related matters in your team / field
Work independently and with team-members to discover product insights, collaborate with product-managers to drive data-driven product priorities
Take full data ownership for existing and new features: define data points, extract data from multiple sources, conduct ad-hoc / periodic analytics, make complaining arguments
Create, support, monitor and maintain reports / dashboards for various roles
Initiate, own and manage multiple data projects simultaneously
Work closely with PMs, algorithm developers, business teams, data scientists and more.

As a Senior MLOps Engineer, you will lead the development and scaling of our machine learning training infrastructure to support AI-driven solutions. Youll work closely with our Research teams, ML Serving team, and business stakeholders to define strategies and implement plans that align with our organizational goals.

As a Senior MLOps Engineer, you will:

Develop machine learning platform, including shared libraries, development standards, CI/CD pipelines, and utilities that streamline and standardize ML development across our AI and research teams.
Collaborate with research teams to design and build machine learning and deep learning infrastructure that enables large-scale training, experimentation, and validation of AI models.

As a Senior NLP Research Scientist, you will leverage your expertise in natural language processing to develop and deploy innovative NLP-based products, contributing directly to our product strategy. You will work alongside a team of exceptional NLP researchers, data analysts, and prompt engineers, tackling complex business challenges using real-world data. If you have a passion for NLP, a knack for creative problem-solving, and thrive in a collaborative environment, this role offers the opportunity to make a significant impact.

As a Senior Data Scientist, you will:

Develop and deploy cutting-edge NLP-based products for Gong, optimizing models for real-world performance and scalability while ensuring they meet production standards and business needs.
Conduct hands-on research to integrate data and product insights, creating robust NLP algorithms with production-grade code that enhance business outcomes and drive strategic value.
Participate in brainstorming sessions for machine learning initiatives, collaborating closely with the Product and Engineering teams to influence and shape Gongs product strategy.
Mentor team members and contribute to their professional growth through joint work, knowledge sharing, and staying up to date with the latest ML developments.

Required Senior GenAI Infrastructure Engineer - ML
About the Team
We empower AI and data science teams at every stage of the model lifecycle, from training to deployment, offering advanced model security and seamless operations across cloud and self-hosted environments.
As we expand, we're looking for a GenAI Infrastructure Engineer to help shape the future of our GenAI platform, trusted by the world's leading companies to power their next-generation GenAI solutions.
In this role, youll build cutting-edge AI infrastructure, design and develop core components such as model serving, prompt management, guardrails, gateways, and evaluation frameworks. Youll help provide organizations with the precise tools to integrate and maintain GenAI into their workflows, ensuring scalability, compliance, and an excellent developer experience.
Youll collaborate with platform, security, AI/ML, and data teams to optimize deployment, monitoring, and governance of GenAI applications at scale. Were looking for data-driven problem-solvers who thrive in fast-paced environments and are passionate about building AI-driven solutions.
If you want to build the infrastructure of the future from concept to production, wed love to hear from you!
As a GenAI Infrastructure Engineer ML you will...
Design and develop the infrastructure of our new GenAI solution.
Develop and manage components such as prompts, guardrails, and model gateways, tracing and evaluation frameworks.
Collaborate with cross-functional teams on shaping how AI applications are structured and managed.
Stay up to date with the latest advancements in GenAI infrastructure, tooling, and frameworks, integrating industry best practices.

we believe when you get the people thing right, you can build teams that can change the world. Were helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, laser-focused on building world-class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloittes "Fast 500" technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employer. And were just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.

Were in search of an LLM Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide. you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!
As an LLM Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Create synthetic datasets and develop end-to-end GenAI workflows, from data preprocessing to model deployment
Evaluate and integrate new AI models and technologies, staying at the forefront of advancements in the field
Design and build AI agents that automate key workflows for recruiters, empowering them with intelligent automation capabilities
Optimize AI-user interactions through prompt engineering and other techniques to enhance our AI-driven hiring assistant
Implement practical applications of LLM research findings, creating scalable tools for user-facing applications
Conduct data analysis and develop metrics to measure the performance and impact of AI solutions.
Collaborate with cross-functional teams and our global R&D team to drive AI innovation and evolve strategies across our products

We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.

The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.

Responsibilities:
Take ownership of the entire machine learning engineering lifecycle from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats 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.
our company'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 our company, 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 its Real-Time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in.
On your day to day
Were looking for a seasoned and driven team lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in Real-Time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech at our company, identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.
What Will Make You Stand Out?
* M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
* 5+ years of experience in NLP, Machine Learning or deep learning.
* 2+ years of experience managing ML/AI or software engineering teams
* Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
* Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
* Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
* Familiarity with STT / ASR models and common audio / speech processing methods.
* Strong software engineering skills in Python.
Leadership
* Proven ability to lead high-impact teams in a fast-paced applied research environment.
* Experience defining and executing ambitious technical roadmaps and contributing to strategic technical decisions.
* Passion for mentorship, team-building, and fostering a culture of innovation.
* Strong cross-functional collaboration skills and the ability to work closely with PMs, engineers, and other stakeholders.
Bottom line? If you are a passionate, hands-on R&D leader with rich research experience and deep expertise who thrives in a fast-paced, innovative environment - we want to hear from you.

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.

About the job
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to our company's products.
Responsibilities
Develop AI models using satellite data to identify and track events.
Create and manage robust datasets for model training and validation, leveraging AI tools.
Deploy machine learning models for use within a our company Maps integrated product.

About the job
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As the Staff Software Engineer, you will be part of the Core team responsible for the architecture, technology, and implementation of AI code modernization solutions.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Research existing and new technologies in the AI domain in order to solve application code modernization challenges.
Work with multiple AI teams in our company.
Collaborate with customers and partners for requirements understanding and mapping.

About the job
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to our company products.
Responsibilities
Develop optimized fast inference algorithms in our company's Large Language Model (LLM) codebases.
Improve decoding efficiency/latency and prefillI efficiency/latency.
Analyze and profile execution via xprof and other tools.
Develop pre-training, tail-patching and torso-patching compute-efficient and token-efficient models.
Introduce modeling architectural changes to improve efficiency or quality. Work closely with the Gemini Development and Modeling (GDM), the Gemini team and Product Areas to address the product needs in those areas.

About the job
As an organization, our company maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
our company Research is building the next generation of intelligent systems for all our company products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. our company Research teams collaborate closely with other teams across our company, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Responsibilities
Author research papers to share and generate impact of research results across the organization and in the research community.
Contribute to research growth by sharing research trends and best practices within the community by reviewing academic papers, serving on program committees and grant panels, speaking at our company events or research conferences, or organizing research conferences and visioning activities.
Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Own long-term research strategy and plans to expand the impact of our company research.
Identify undefined problems in existing technology and engage stakeholders and leaders to address them.