לוח משרות דרושים NLP/Machine Learning בתל אביב יפו

We seek an experienced Machine Learning Software Engineer to join our ML Team.
In this role, you will develop efficient and scalable code to create and operate ML systems for our production and Infra environments
A day in the life and how youll make an impact:
Productization of algorithms - Optimized for large scale algo serving.
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
Continuously explore ways to improve our code and ML Infrastructure
Collaborate with team members to define future technology and features.

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.

We are looking for an ML Engineer to join our Data department.
In this role, you will be responsible for the infrastructures needed to train models, serve them and do other ML magic.
What Youll Do:
Develop, integrate and optimize end-to-end ML solutions (data pipelines, training workflows, and serving infrastructure)
Plunge into a world of data, analytics, ML, high-paced and high-scale user and market movements
Work closely with Data Scientists to understand the business from top-to-bottom and turn their dreams into reality.

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 companys 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.

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 companys 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
We are looking for a brilliant and highly motivated AI Engineer with a focus on NLP to join our team that is revolutionizing how audio and video content is transcribed, analyzed, understood, and edited. You will work closely with our product and other engineering teams, as your research and development will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the .boundaries of innovation in product and bring the most value to our customers.

We are looking for a Machine Learning Engineer.
Responsibilities:
Join Finaloops core activities, contributing to impactful data development and insights retrieval projects.
Collaborate closely with domain experts and developers to enhance data-driven features.
Own and manage data features throughout their lifecycle, including design, implementation, monitoring, and iteration.
Define and track key performance indicators (KPIs) for the team and the company, promoting a data-driven approach.

We are looking for a NLP Research Engineer to join our growing Research team. In this role, you will work on core business challenges, tackling tough and diverse algorithmic problems using the latest NLP research.

As the NLP Research Engineer, you will:

Research complex problems related to state-of-the-art NLP, GNNs, and Tabular data.
Implement algorithms and train models to solve problems at the core of product.
Integrate your work into existing product while demonstrating its value.

We are looking for an experienced and passionate Team Leader to lead our Deep Learning team. In this role, you will be responsible for leading the developing and delivering high-impact ML projects. You will work closely with stakeholders to identify and prioritize business problems, and develop and execute data science solutions.
Responsibilities
Lead and manage a team of ML researchers
Work with stakeholders to identify and prioritize business problems
Develop and execute DL solutions
Ensure that ML projects are delivered on time and within budget
Work closely with the Principal Researchers to plan the research roadmap
Collaborate with product and engineering teams to integrate ML solutions into our platform
Stay up-to-date with the latest advancements in ML research and development.

We are looking for a Senior Python Developer with deep expertise in Python programming, event-driven architectures and large-scale data processing to lead one of the company's most important areas.

Role and responsibilities
You will lead design and optimize cloud-native applications, build high-performance data pipelines, and develop scalable solutions on AWS. Work with machine learning (ML) workflows, including LLM (Large Language Models) integration.

Were searching for a passionate and experienced hands-on AI Architect to join our team.

With a wide array of responsibilities and corresponding impact, youll help spearhead our product offering and wear multiple hats at a fast-growing, dynamic, early-stage company.

Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Coach teams on best practices for datasets and building data sets.
Build applicative AI in production on a large scale.
Build solutions for different mediums including voice products with minimal latency and high accuracy.
Build an internal tool system to allow scientific evaluation.
Implement and lead new AI strategies by designing and implementing complex functionality and/or integrating with 3rd parties.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
Use best practices and SOTA from the AI industry but also push the envelope to new heights.

Were seeking a passionate Senior Data Scientist to join our AI team. With a wide array of responsibilities and corresponding impact, youll help spearhead our new product offering and the world-class AI conversation product impacting millions of patients.

Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Build applicative AI in production on a large scale.
Build solutions for different mediums, including voice products with minimal latency and high accuracy.
Provide a scientific evaluation of the quality of our models..
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
Use best practices and SOTA from the AI industry, but also push the envelope to new heights.

We are seeking a hands-on Tech Lead to be the first technical hire for our newly formed ML team. This is a unique ground-floor opportunity to build something from scratch and have direct influence on the technical direction of our ML capabilities. This role combines deep technical expertise with foundational leadership, requiring someone who can architect solutions, establish technical standards, and lay the groundwork for future team growth. As our founding ML tech lead, you'll have the opportunity to shape our technology choices, define our technical practices, and build the fundamental skill set that will guide the team as we scale.

What youll do: 
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader.
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks.
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members.
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions.
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models.
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch.
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists.
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods.
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack.
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.

Location: Tel Aviv, Israel.

Hybrid.

Full-time.

You will be responsible for defining the system solution for NN-based image signal processing algorithms.
In your role, you will be tasked with designing an ISP solution that leverages NN to replace classic ISP algorithms and taking the solution from the POC stage to production. You will scope the existing landscape of literature and select solutions which are appropriate for running on our companys embedded HW, perform proof-of-concept, define system KPIs, and finally carry the solution to product grade level and deployment on our companys Vision-Processor.
Responsibilities
Domain expert in the field of neural network image enhancement for video cameras.
Work with the product team to translate high-level product functions to system building blocks and drive R&D efforts to implement them.
Implement proof-of-concept projects, taking ideas from papers and public reports and showing product fit.
Technological leadership in a multi-disciplinary environment. You will be working with both external partners and internal technical leadership. You will be expected to understand the various disciplines in a detailed manner and to be both a technical and project focal point for all aspects of the project.

We are seeking a motivated and experienced Full-Stack Developer with 3+ years of hands-on experience to join one of our core teams. As a Full-Stack Engineer you will take ownership of features throughout the entire development lifecycle, from initial concept and design through to deployment and maintenance in an enterprise-grade production environment.
This role requires close collaboration with UI/UX designers to translate design concepts into high-quality, functional software.
Responsibilities:
Develop and lead the end-to-end implementation of new features and product offerings
Design, build, and maintain efficient, reusable, and reliable code across the full stack
Collaborate effectively with UI/UX designers, product managers, and other engineers
Contribute to all phases of the development lifecycle, including analysis, design, coding, testing, and deployment
Ensure the performance, quality, and responsiveness of applications

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.
Responsibilities:
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.