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Location: Merkaz
Job Type: Full Time
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.
Requirements:
Degree in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
5+ years of industry experience required in NLP and Deep Learning algorithms.
Proficiency in Python programming language.
Strong analytical and problem solving skills.
Independence and ownership, ability to come up with innovative solutions and evaluate them quickly.
Preferred Qualifications:
M.Sc or PHD.
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.
This position is open to all candidates.
 
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חברה חסויה
Location:
Job Type: Full Time
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.
Requirements:
Degree in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
Strong background, 3+ years of industry experience required in Machine Learning and Deep Learning algorithms.
Practical NLP experience must.
Proficiency in Python programming language.
Strong analytical and problem solving skills.
Independence and ownership, ability to come up with innovative solutions and evaluate them quickly.
Preferred Qualifications:
M.Sc or PHD.
Experience with Multimodality ( Vision&NLP )
Full cycle development: research to production.
This position is open to all candidates.
 
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16/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!
As an Algorithm Developer you will be responsible for building state of the art algorithms powering LLMs and agentic frameworks. You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.
You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.
Role and Responsibilities:
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining language models, RL and classical ML/NLP.
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production.
Requirements:
Independence and resourcefulness, ability to come up with innovative solutions and evaluate them quickly
2+ years of hands-on industry experience in Machine Learning/Deep Learning (utilizing standard frameworks such as TensorFlow, PyTorch, Hugging Face, etc)
Experience writing production-grade code
M.Sc. in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics or equivalent research experience
Understanding of Machine Learning and Deep Learning fundamentals
Proficient in Python development
Proficient in data exploration, manipulation and visualization
Advantage for practical NLP experience.
This position is open to all candidates.
 
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חברה חסויה
Location:
Job Type: Full Time
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 companys 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.
Requirements:
M.Sc in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
Experience managing a team (minimum 3 employees )
Subject matter expertise in NLP research, including in Deep Learning based methods
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.
Intimate familiarity with a variety of ML disciplines and algorithms
Excellent interpersonal skills.
This position is open to all candidates.
 
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1 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly motivated Senior Diffusion Model Researcher to lead cutting-edge research in generative models with a focus on image and video diffusion. The ideal candidate combines deep theoretical understanding with strong practical experience in training and deploying large-scale generative models.
A day in the life and how youll make an impact:
Conduct state-of-the-art research on generative models, with an emphasis on diffusion techniques for image and video synthesis.
Design, implement, and evaluate novel architectures and training methodologies for scalable diffusion models.
Collaborate with cross-functional teams (engineering, product, design) to transition research into production-grade systems.
Publish results in top-tier conferences (e.g., NeurIPS, CVPR, ICCV, ICML) and contribute to open-source initiatives.
Stay up to date with the latest advancements in generative modeling and identify promising research directions.
Mentor junior researchers and help shape the AI research roadmap.
Requirements:
Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
At least 5 years experience as algorithm developer or researcher
Proven track record in generative modeling, specifically diffusion-based models for image and/or video generation.
Strong proficiency in Python and deep learning frameworks such as PyTorch or JAX.
Solid understanding of probabilistic modeling, score-based generative methods, and denoising diffusion techniques.
Experience with large-scale model training and high-performance computing environments.
Publications in top AI/ML conferences or journals.
Preferred Qualifications:
Experience in latent diffusion, video generative models, or multi-modal generation (e.g., text-to-image/video).
Contributions to open-source generative modeling libraries.
Familiarity with model evaluation metrics and benchmarking protocols for generative content.
Prior experience in a startup or fast-paced R&D environment.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Deep Learning Algorithm Developer- L2++ Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains, including ground-view images and satellite/aerial images.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post processing, training and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.
Requirements:
M.Sc in Computer Science / Electrical Engineering from top-notch universities.
At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python.
Experience in writing highly optimized, scalable and reliable code. Real-time code for a target hardware - Advantage
Experience in computer vision, including homography or PnP - Advantage
Availability for a full-time position from our office HQ in Tel-Aviv.
Attributes
Research skills: Ability to conduct independent research, stay up-to-date with the latest advancements in deep learning, and contribute to the development of new algorithms and models. Advantage - Publications in top-tier journals or conferences of computer vision or deep learning.
Team player: Collaborate with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.
Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
Adaptability: Openness to learning new techniques, adapting to changing requirements, and embracing new technologies.
Initiative: Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results.
First principle thinker.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. Were the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Leadership/Team Quote:
The Content Intelligence team builds the Content Intelligence Platform by consuming millions of images and textual inputs every day, and then enriching it with ML capabilities. Eventually, these will serve downstream applications and personalize our customers' experience (think of a way to choose and surface the right images and reviews when customers book their next vacation).
Moreover the team is taking a key role in the new GenAI project - The AI Trip Planner.

Role Description:
Youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
דרישות:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.
Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.
Experience of worki המשרה מיועדת לנשים ולגברים כאחד.
 
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26/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
None
This position is open to all candidates.
 
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18/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly skilled and experienced Senior NLP Researcher to join our AI research team and drive the development of our next-generation large language models (LLMs). The ideal candidate will have a strong background in NLP, deep learning, and applied research, with a passion for innovating and pushing the boundaries of generative AI technologies.
Responsibilities:
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.
Requirements:
M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
5+ years of experience in applied AI research.
Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Solid understanding of NLP.
Experience with modern Large Language Models (LLM) and generative models.
Proven expertise in designing, implementing, and evaluating deep learning models in a production environment.
Preferred Qualifications:
Experience with training Large Generative Language Models (LLM).
Knowledge of distributed computing and infrastructure for training large models.
Interest in exploring novel architectures for LLMs.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Required Algorithm Developer
The Role:
As an Algorithm Developer, you will be part of the AI team that develops AI-based products and maintains them in production at scale (1700+ hospitals).
As part of the Al team you will:
Design, develop, and implement robust, scalable AI algorithms tailored to real-world challenges in clinical settings.
Prepare, process, and analyze complex medical data to support algorithm development and validation.
Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.
Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.
Research, develop and integrate cutting-edge deep learning techniques and classical computer vision and medical imaging methodologies.
Apply NLP and large language models (LLMs) to extract insights from unstructured medical texts and develop intelligent agents for optimized clinical decision support
Stay up to date with cutting-edge advancements in Deep Learning, Computer Vision, and Large Language Models. Organize and actively participate in seminars, book clubs, and conferences.
Have an opportunity to co-author papers and abstracts for leading medical journals and scientific conferences.
Main technical stack:
Infrastructure: AWS, Docker, Kubernetes
Programming Languages: Python
Data processing: Pandas, Polars, Amazon Athena, Postgress Sql, Opensearch
Deep Learning Frameworks: TensorFlow, Keras, Pytorch
Computer Vision Libraries: OpenCV, MONAI
NLP/LLMs: Hugging Face Transformers, spaCy, Amazon Bedrock
Our Core Values:
Patients First; Time is Brain; Quality Squared; Kindness Wins; I am Accountable.
Requirements:
Required Qualifications:
Minimum of 3 years of hands-on experience in algorithm development using Python, with a strong foundation in software engineering principles and clean, efficient coding practices.
Experience in deep learning with a focus on computer vision applications such as image segmentation, object detection, and classification.
Experience in classical computer vision and image processing techniques (i.e. image filtering and enhancement, geometric transformations, image registration, morphological operations)
Hands-on experience with data processing, deep learning and computer vision libraries: PyTorch, TensorFlow, OpenCV, Pandas
Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments
Familiarity with NLP and LLMs
Strong interpersonal and communication skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers.
Self-starter with the ability to take ownership of projects and drive them to completion independently.
Preferred Qualifications:
Experience with AWS
Experience with medical imaging technologies and data formats (e.g., DICOM) and familiarity with domain-specific challengesan advantage.
Familiarity with modern MLOps practices and tools for model tracking, deployment, and monitoring (e.g., MLflow, ClearML, Docker, Kubernetes).
M.Sc. or higher in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a related scientific discipline.
This position is open to all candidates.
 
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18/05/2025
חברה חסויה
Location:
Job Type: Full Time
abra R&D is seeking an experienced Algorithm and Signal Processing Engineer We are seeking a Data Scientist and LLM Engineer with a strong background in Python and hands-on experience in developing and implementing advanced ML and NLP solutions.
* The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
* Support software, hardware, and firmware teams in implementing algorithms on embedded systems. Responsibilities
* Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
* Develop Python-based solutions for data processing, model training, and deployment in production environments.
* Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
* Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
* Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
* Analyze and process large datasets to extract actionable insights that drive business value.
* Develop and maintain robust, scalable, and efficient codebases and documentation. Why Join Us
* Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
* Collaborate with a talented team dedicated to innovation and excellence.
* Opportunities for professional growth and development in cutting-edge technologies.
Requirements:
Must-Have Requirements Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field. 4 + years of professional Python development, designing and implementing end-to-end machine-learning pipelines
* ?Practical experience with Generative AI techniques
* Proven hands-on experience with Large Language Models (LLMs) and Transformer architectures
* Extensive hands-on experience with NLP frameworks and libraries , such as Hugging Face Transformers, PyTorch, and OpenAI APIs
* Proven ability to deploy AI/ML models to production , with a focus on scalability and robustness
* Excellent understanding of unstructured and semi-structured data processing methods. Advantageous Qualifications (Nice to Have)
* Experience working in cloud environments AWS, GCP, or Azure ) and leveraging distributed computing frameworks (e.g., Spark or Ray).
This position is open to all candidates.
 
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