דרושים » תוכנה » Machine Learning Engineer

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.

As an NLP team lead, you will solve hard business problems using SOTA NLP models, in the realm of text generation, text classification, question answering, information retrieval and more. You will pretrain, fine-tune and deliver to production large language models (LLMs), in multiple languages, and use your knowledge and creativity to answer business problems using real data. Youll also work with the Product team to shape our product roadmap, and contribute to brainstorming sessions on NLP projects.

What youll do:
Lead a team of exceptional NLP researchers.
Teach, mentor, and counsel the team, supporting their growth and professional development
Initiate, plan, prioritize, and manage ML projects, solving a real business problem for the largest sports organizations.
Translate business challenges into ML projects, brainstorm to identify optimal approaches, and conduct hands-on research to integrate data, product insights, and algorithms, generating business value.
Supervise production deployment, monitoring, and continuous learning of NLP models to ensure their optimal performance and adaptability.
Continuously evolve and help others evolve professionally, through joint work and mentoring, contributing to weekly brainstorming sessions, and staying up-to-date with the latest ML developments
Collaborate closely with Product and BizDev teams to align NLP initiatives with business objectives and product strategies.

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.

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.

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 looking for a Senior ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.

We are looking for a Principal ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.