דרושים » תוכנה » Applied Scientist, Prime Video Sports

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

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.

Prisma Photonics, a fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors. Our Hyper-Scan Fiber-Sensing™ technology, combined with advanced machine learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions. Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), Prisma Photonics is led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors. We are seeking a talented, self-driven and passionate Deep Learning Engineer who will bring both deep learning expertise and engineering skills to our unique domain of Optical Fiber Sensing. In this role, you will balance cutting-edge ML research with the practical, large-scale data handling challenges that enable our solutions to thrive in the real world. About half of your day-to-day work will involve building and optimizing the data processing infrastructure and libraries that underpin our ML models. What You’ll Do
* Design and implement custom data libraries and formats that support fast random access to massive real-time data streams. Work closely with the engineering team to ensure data pipelines are robust, scalable, and efficient.
* Leverage and extend data processing frameworks (e.g., Pandas, GeoPandas, Dask) to handle large-scale acoustic data. Write or customize Pandas extensions to meet specialized data modeling requirements.
* Spearhead core. deep learning initiatives to solve real-world challenges in detecting, classifying, and tracking spatiotemporal events. Push boundaries by inventing and applying novel ML and DL techniques tailored to our unique optical fiber domain
* Deliver well-tested, reliable, and maintainable code that seamlessly integrates into our rich and unique code infrastructure and ecosystem.
* Work alongside physicists, hardware engineers, data scientists, and field teams to gather requirements, plan real-world experiments, and collect critical data. Translate complex domain challenges into effective ML and data-engineering solutions.
* Harness advanced data analysis and visualization tools to uncover insights from diverse and voluminous real-world datasets.
* Continuously research new algorithms, technologies, and tools (both ML- and data-engineering–related) to keep Prisma Photonics at the forefront of innovation.
* Rapid prototyping, iterative experimentation, and fast-paced project turnovers are the norms. You’ll balance quick delivery with rigor and thoroughness.

Manager:
Stav Shapiro

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.

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.

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.
We are a research team of engineers and research scientists who work together toward the development of exciting and society-benefiting conversational education experiences. In this role, you will work on developing core educational abilities (e.g., question generation) that build toward entire educational experiences. Team members work on all stages of the technology development, from data collection and modeling to the necessary infrastructure to support the development and integration.
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 in-house Natural Language Processing/Machine Learning technologies.
Work closely with other research groups on collaborative research efforts.
Work closely with product groups to deliver ML solutions to products.
Develop infrastructure needed to support model development and serving.

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

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's Notification Platform (GNP) goal is to provide a single technology and management stack for all first-party product user notifications (encompassing all channels: push, email, in-app, in-web, sms, etc.). The focus is to improve the end-user notification experience by treating notifications holistically and developing solutions for notifications across our company.
The Core team builds the technical foundation behind our companys flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at our company. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our companys products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

We are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.

Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack.

Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available.

Triage and root-cause performance issues reported by our customers.

Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information.

Collaborate with a very dynamic team across multiple time zones.

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.