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Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
The Team & Role we are looking for a talented AI Algorithm Developer to join us in the research and development of our next-generation automatic sports video content engine. Our team operates at the intersection of Computer Vision, NLP, and Audio analysis. We dont just use models; we build multimodal pipelines that understand sports context like a human editor would.
If you are an expert in one of these domains (NLP, CV, or Speech) and are eager to master the others to build state-of-the-art Multimodal AI - we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content automation using state-of-the-art Deep Learning (LLMs, VLMs, Audio models, and Generative AI).
Collaborate with Computer Vision and Audio experts to fuse different data signals into unified models.
Combine deep language models, Generative AI, and classical ML techniques to create high-quality solutions for demanding product-oriented tasks.
Manage the full R&D cycle: from problem definition and reading papers to implementation, prompt engineering, and productization with high autonomy.
Engage in collaboration with product and success teams to convert business goals into measurable algorithmic objectives.
Write robust, production-grade Python code that scales.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Were looking for a seasoned Software Engineering Team Leader, with a strong background in infrastructure, with a focus on Development Tools, to join the companyny team. In this role, you will be a part of and infrastructure team focusing on the overall Developer Experience, with the goal of reducing friction and increasing the entire R&D organization efficiency and enable faster, more reliable and engaging development process.
Responsibilities:
Lead multiple development teams through recruitment, mentoring, and day-to-day management
Discover, define, design, build and own products and tools across the entire development process (starting from SCM, through IDE, AI agents, build, testing, environments, feature flags and all the way to continuous deployment and production metrics. And more...).
Work in collaboration with the Development and Research orgs on one side, in collaboration with DevOps and SRE, to capture requirements, identify issues and jointly resolve and deliver solutions.
Educate (yourself and the organization) about State-of-the-Art tools, techniques and methodologies which would allow us to continuously improve our R&D.
Act as an evangelist for the above initiatives, supporting adoption across Cato.

We are looking for an intelligent, well-rounded and enthusiastic Algorithm Engineer to participate in the design, development and delivery of our innovative software solutions.
The position is based in our Rehovot, Israel headquarters.
If you can operate in a team but also a motivated individual, read on
Remember that exact job descriptions never fit the bill 100% - if youre good, passionate and love to build great products, we want you.


We see your role as

Developing the infrastructure and framework for a highly scalable, Image Processing/geometry ( OpenCV, Ipp) component of a large software product.
Designing and delivering CAD to Print algorithms
Developing geometry-oriented software
Being a part of a talented team

Are you a visionary tech leader eager to shape the future of coding and have a global impact? Join Tabnine, where we're on a mission to revolutionize the developer experience with our real-world generative AI products.
As a Team Lead, youll guide a talented group of developers while remaining hands-on, helping to craft cutting-edge solutions that empower over 1 million developers worldwide. Together, we'll unleash the potential of AI to make coding more efficient, creative, and enjoyable for developers everywhere. Join us at Tabnine and lead something extraordinary.
Our solution tech. stack:
SaaS, Self-hosting
Backend services + web: Typescript (NodeJS + ReactJS), Python
Client: Rust
IDE plugins: Typescript (vscode), Java (IntelliJ, Eclipse), c# (visual studio)
Postgres, Redis, Qdrant, ClickHouse / Snowflake
GCP, AWS
Kubernetes
GPUs and inferencing (in various frameworks)