דרושים » תוכנה » NLP Team Leader

Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. you have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.

We are looking for a Senior GenAI/NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research we are looking for you!

What youll do:

The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Design, develop and implement state-of-the-art Generative models, prompt engineering and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.

Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. you have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.

We are looking for a NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Multimodality AI research we are looking for you!

What youll do:
The teams main focus: NLP & Vision.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. you have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.

We are seeking a Machine Learning Engineer with a passion for developing production-grade software services and solving intriguing problems using Large Language Models (LLMs), data, and creative thinking. Join us in creating our next-generation automatic sports video content engine. If youre enthusiastic about cutting-edge NLP and Generative AI development, we want you!

As a Machine Learning Engineer, youll tackle complex business challenges using state-of-the-art NLP models in areas such as text generation, text classification, question answering, information retrieval, and more. You will collaborate closely with engineers, scientists, and product managers to make our language platform the best in its class.

What youll do:
Design and develop the engineering infrastructure to support all ML-related activities.
Work closely with Data Scientists and other stakeholders to define the ML system requirements for experimentation and production.
Define internal quality processes in the team, including code reviews, testing methodologies, and deployment processes.
Work on various tasks: architecture and design, coding, monitoring, working with cloud services, and working closely with MLOps.
Continuously explore new tools and practices in the ML and cloud processing world that can be harnessed for our mission to build a smooth ML development and serving pipeline.
Identify improvement opportunities, such as automating manual processes and cost-reduction opportunities.

Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. At WSC Sports, you have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.

As a Technical project manager you will be responsible for providing technical project planning, management and oversight for key initiatives and implementation projects. Ensuring first that these initiatives and projects are closely aligned with WSC strategic priorities, and second, that the projects are completed on-time, within scope and with a high quality of deliverables.

Youll be a member of our Product department and serve as a key link between product managers, all R&D teams, QA, Operations and CSM, and Account delivery team You will also assess risks, anticipate bottlenecks and provide escalation management.

What youll do:
Track, report, monitor and control projects from initiation throughout the project life cycle until full implementation.
Implement project management best practices around: progress management, Gantt, resource management, cost management, risk assessment, change management, Stakeholder management and tracking of external commitment.
Work closely with all R&D teams, product teams, QA, Operations and account delivery team.
Solve problems throughout the project life cycle, balance the needs of both business and technological interfaces.
Track product quarterly goals reaching the implementation within the time and scope defined.
Part of the defining the solutioning and align with product lead and r&d lead
Lead cross domain projects with multiple teams involved.
Become the department key link for external project for example: clients in risk, projects with deadline.

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.). 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 we have to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.

The person in this role will lead the R&D group that will be developing next generation solutions of us and will have end-to-end ownership and will be responsible for all aspects of development in the group, consisting of Backend, Frontend, Mobile and QA engineers from technologies to processes to people management.

Youll report to the VP R&D and be a part of the engineering management team, establishing the engineering vision, goals and culture.

What youll do:
Be an inspiring leader. Such an individual that people wish to follow and work with.
Manage a growing group of ~30 strong team members, led by strong team leaders.
Lead the design, architecture, and the scaling up of our solution, as well as maintain an agile development process.
Be responsible for the overall planning, execution, and success of complex technical projects.
Improve the group performance and effectiveness.
Take overall responsibility for recruiting and scaling the team to support its growth needs.
Develop, mentor and grow the group leadership.

This role is designed for a senior technical leader who may focus on hands-on technical innovation or combine this with team leadership, depending on experience and career goals.

As Deep Learning Lead, you will take ownership of developing advanced single-cell representation models, driving our mission to create the world's leading foundation model of the immune system.

This role places you at the forefront of deep learning innovation, tackling complex challenges in modeling multimodal and time-series data from hundreds of millions of cells. You will design and refine transformer-based architectures and pre-trained foundation models to integrate diverse, high-dimensional datasets, unlocking insights for drug development and clinical trials.

You will lead the full model development lifecycle, from research and experimentation to scalable, production-ready deployment. Collaborating with a multidisciplinary team of experts, you will shape the technical roadmap, mentor team members, and foster a culture of innovation and excellence. This role offers a unique opportunity to develop cutting edge models tailored for the unique domain and make an impact on the pharma development domain bringing new drugs faster to the bedside.

Location: Ramat Gan, Israel (hybrid role)

What will you do?

Spearhead the architectural design and implementation of cutting-edge transformer models, pushing the boundaries of performance and efficiency
Lead and mentor a team of ML researchers and engineers, fostering a collaborative and innovative environment
Collaborate closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver impactful solutions
Contribute to the development of best practices and standards for transformer model development and deployment

We are seeking a highly skilled and motivated Machine Learning Engineer to join our Data Science Engineering team. The ideal candidate will have a deep understanding of machine learning infrastructure and solutions, enabling data scientists and engineers to efficiently develop, deploy, and maintain models in production by delivering a scalable and high-quality solution. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities:
Develop and maintain machine learning infrastructure and solutions to support the efficient development, deployment, and maintenance of models in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models.
Design and implement software architecture for machine learning solutions.
Optimize model deployment and serving using industry best practices with CPU, GPU, and external APIs.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Collaborate with the DevOps team to establish best practices for MLOps.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning and related technologies.

We are seeking a highly motivated and experienced LLM/ML Agentic AI Researcher to lead the technical development of our agentic AI interpretation framework. This hands-on role involves designing, building, and optimizing AI agents that interpret complex biological data and generate coherent, insightful narratives explaining therapeutic mechanisms.

You will be at the forefront of developing a sophisticated scientific reasoning system that leverages Large Language Models (LLMs) to provide structured, biologically-grounded explanations. Collaborating closely with immunologists, machine learning researchers, and technical leadership, you'll shape how we derive insights at a systems level, pushing the boundaries of AI in biology.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architect & Develop: Design, implement, and iterate on core AI agents using LLMs and Chain-of-Thought reasoning for creating a scientific reasoning system.
Integrate Biological Knowledge: Effectively access and incorporate biological databases (internal and external databases as tools) ensuring model interpretations are rooted in real biological mechanisms.
Solve Complex NLP Challenges: Innovate solutions to synthesize multiple information sources into cohesive, scientifically robust narratives. Structure advanced prompts and refine LLM interactions to achieve narrative coherence and clarity.
Robustness & Testing: Produce clean, well-documented, maintainable Python code with clear testing protocols, ensuring reliability and accuracy of the agent outputs.
Stay Ahead of Trends: Continuously explore emerging LLM technologies, APIs, and best practices to enhance our interpretation framework.
Effective Collaboration & Communication: Clearly articulate technical concepts to both technical and non-technical stakeholders, effectively integrate feedback from immunologists and researchers, and iterate rapidly to refine the interpretation framework.

We are seeking a highly skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions.
This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.
Key Responsibilities:
Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

Were rapidly growing and looking for another important piece of the puzzle.
Is it you?
As a Backend Engineering Team Lead, you will play a pivotal role in shaping the future of our innovative platform. You will lead a talented team of backend developers to design, develop, and maintain scalable, high-performance solutions.
On top of the formal requirements written below, we are looking for a positive person with a can-do attitude, someone who wants to take full ownership and be responsible for scaling up the product and the team.
Lets get down to business:
In this role, you will:
Technical Leadership:
Oversee the entire software development lifecycle, from requirements gathering to deployment and maintenance.
Mentor and guide team members, fostering a culture of continuous learning and innovation.
Stay up-to-date with emerging technologies and industry trends to drive technical excellence.
Team Management:
Recruit and hire top-notch engineering talent.
Foster a collaborative and inclusive team environment.
Set clear expectations, provide constructive feedback, and recognize and reward outstanding performance.
Product Development:
Work closely with product managers and stakeholders to understand business requirements.
Design and implement robust, scalable, and maintainable backend systems.
Ensure code quality, performance, and security through rigorous testing and code reviews.