לוח משרות דרושים NLP/Machine Learning בתל אביב יפו

our company has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, our company has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence.
We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team builds software solutions that enable efficient inference on the latest and greatest generative AI models. We tackle problems on all levels of the stack-from server-level request batching to GPU kernel fusion-and collaborate with teams across diverse disciplines to push our company's hardware to its full potential.
What youll be doing:
Cooperate with research teams to onboard new LLMs and VLMs into our company's opensource AI runtimes
Optimize inference workloads using sophisticated profiling and simulation tools
Build SOLID, extendable inference software systems, and refine robust APIs
Implement and debug low-level GPU code to harness the latest HW features
Own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products.

we are seeking a senior NLP Data Scientist to lead our marketing language predictive modeling. Youll explore complex datasets, build and fine-tune advanced NLP/LLM models, and partner closely with engineering and product to integrate your work into AI content platform.
Responsibilities:
Define and own the technical strategy and roadmap for marketing language predictive modeling
Analyze, process, and derive insights from our ever-growing data resources
Solve challenging prediction problems by applying the latest ML/NLP techniques to build and fine-tune highly performant LLMs
Collaborate with engineers and product managers to ship models end-to-end, from research to production
Monitor and iterate on models using offline and online metrics

We are seeking a visionary Director of Algorithm to join our leadership team and report to the VP of R&D. This is a high-impact strategic role for a leader who combines deep expertise in machine learning and advanced AI with a proven track record of turning innovation into measurable business results.

As Director of AI, you will lead and expand a group of algorithm engineers embedded in Product pods, play a pivotal role in roadmap planning, and balance cutting-edge research with practical productization. You will drive cross-organizational initiatives that elevate our products and operations, defend our competitive moat, and unlock new opportunities for growth and innovation.

Key Responsibilities

Team & Talent Leadership

Manage, mentor, and inspire a team of algorithm engineers, fostering technical excellence and career growth.
Scale the AI team through hiring, skill development, and cultivating a strong data science culture.
Promote cross-functional collaboration, execution, knowledge sharing, and experimentation.
Attract senior AI talent to build strong teams.
AI Roadmap & Innovation

Execute the AI roadmap, aligned with the company strategy and product vision.
Introduce state-of-the-art techniques to solve complex challenges.
Drive initiatives that push the boundaries of whats possible, turning AI into a measurable business differentiator.
Technical Leadership

Personally led the resolution of the most complex AI/ML challenges.
Architect and guide the implementation of production-ready ML systems, ensuring robustness, accuracy, and low latency.
Maintain a strong applied research perspective while delivering practical, business-impacting solutions.

Defending & Expanding Our Moat

Keep us ahead of industry shifts by monitoring emerging technologies and evaluating competitive threats.
Build defensible AI assets - unique data pipelines, proprietary models, domain-specific enhancements - that are hard to replicate.
Shape intellectual property (publications, patents, methodologies) that strengthens our positioning.

Architect and Evolve Data Infrastructure- Design and implement scalable data pipelines, Data Lakes, and Data Warehouses to support analytics, AI, and product intelligence.
Build and Deploy AI-Powered Systems- Operationalize AI/ML models- from prototyping to production-grade inference- ensuring performance, monitoring, and reliability.
Enable BI and Analytics- Collaborate with business and product teams to turn raw data into actionable insights, visualizations, and predictive metrics.
Ensure Data Quality and Governance- Establish standards for data collection, validation, lineage, and retention.
Leverage LLMs and AI APIs- Integrate modern large language models and external AI services for chatbots, insights generation, and automation use cases.
Collaborate Across Teams- Work closely with engineers, ML specialists, and product stakeholders to align data and AI architecture with business goals.

We are looking for an experienced Data Science Manager to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on leading the team that are developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models.

Role & Core Responsibilities
Lead, mentor, motivate and inspire a small team of Machine Learning Engineers & Data Scientists.
Own the model development and release process across all products and internal platforms, including both OptiX and .
Manage the cloud-hosted modelling environment.
Operationalize models as APIs working in real-time and batch environments.
Monitor production models, ensuring data quality and model performance.
Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text.
Leverage LLMs and other cutting-edge technologies to enhance product capabilities.
Collaborate closely with product and development teams to define and prepare new ML applications.
Analyse performance and continuously improve scoring processes for hosted models.

Description
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.

We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with cutting-edge technologies in recommender systems and search. You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems. We expect you to thrive in ambiguous situations, demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems. The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.
About the team
We are the Prime Video Sports team. In September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. That was just the start. Now we have exclusive broadcasting rights to major leagues like NFL Thursday Night Football, Tennis majors like Roland-Garros and English Premier League to list a few and are broadcasting live events across 30+ sports world-wide. Prime Video is expanding not just the breadth of live content that it offers, but the depth of the experience. This is a transformative opportunity, the chance to be at the vanguard of a program that will revolutionize Prime Video, and the live streaming experience of customers everywhere.

Required Machine Learning Performance Engineer
Description
Our team is responsible for the AWS Neuron software stack, which powers Generative AI and other advanced ML workloads on AWS's custom-built ML accelerators Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud.
We're building a new core group of engineers in TLV (Tel Aviv) to drive innovation in ML systems performance and software. As a Machine Learning Performance Engineer, you'll help shape the direction of the team from the ground up and work on:
Optimizing system performance across the entire ML software stack
Analyzing high-performance ML workloads running on Annapurna hardware
Developing high-performance kernels for critical ML operations
Enhancing the Neuron SDK to improve developer experience and system capabilities
Collaborating across Compiler, Frameworks, and Hardware teams to maximize end-to-end performance
As part of the Performance Engineering Team, you'll contribute to projects involving instruction scheduling, memory management, parallelism, kernel optimization, and compiler enhancements to maximize end-to-end performance.
This is a unique opportunity to be at the intersection of ML and systems within AWS, helping to build the future of AI infrastructure right here in Tel Aviv.
Key job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You will:
Solve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Research implementations that deliver the best possible experiences for customers.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, youll create metrics, implement automation and other improvements, and resolve the root cause of software defects. Youll also:
Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where youre always working on the most important stuff.
Considering the technical requirements of this role, and to ensure fair and equal candidate consideration, we are conducting full interview loops. If you meet the basic qualifications, and the team is interested in moving forward, we will be in touch to coordinate your interviews.

We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.

The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.



What Youll Do

Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Zenity Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

As a Senior MLOps Engineer , you will design, build and scale our machine learning infrastructure. You will lead the end to end model lifecycle, from data and training to deployment and monitoring, ensuring reliable and high performance ML systems in production. You will work closely with our research and engineering teams to bring advanced AI models into production and help shape the future of our AI capabilities.

We're looking for a skilled and motivated Data Science Team Lead to guide a team of talented data scientists in developing real-time, machine learning-based products. Youll play a key role in driving innovation - researching, designing, and deploying advanced ML models that directly enhance user experience and product performance.

This is an exciting opportunity for a hands-on leader who thrives in a fast-paced, impact-driven environment.

Responsibilities:

Lead, mentor, and inspire a team of data scientistsfostering a culture of collaboration, innovation, and technical excellence
Guide team members personal and professional development
Collaborate with product and engineering teams to identify challenges, uncover opportunities, and drive data-driven solutions
Recruit and retain top-tier talent as the team grows
Research and develop ML models using cutting-edge techniques across a range of domains
Generate new ideas and insights to improve performance and deliver business value

We are looking for a Machine Learning Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.

As a Tech Lead on the ML team , you will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle managementthe foundation of our product.

Responsibilities:

Partner with MLEs in Data Science product teams and key stakeholders to design and maintain infrastructure for:
Data wrangling supporting and enabling data requirements for research, training, validation, and testing.
End-to-end ML delivery enabling model performance development, training, validation, testing, and version control.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.
Build and support monitoring and observability tools dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as:
Feature Store centralizing feature engineering and serving across teams.
Vector Databases enabling large-scale embedding storage and retrieval for advanced ML applications.
GPU Cluster Scaling optimizing distributed training and inference infrastructure.
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.

we are seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization.
In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.
You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.
Responsibilities:
Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.

We are looking for a AI Automation Engineer to join our team.

We're searching for a talented and passionate technologist to implement AI driven innovation by integrating AI Agents and AI APIs in automation processes and Internal Tools. As a key member of the team, you'll play a vital role in developing and implementing innovative solutions to enhance our company's efficiency, productivity and quality. You'll leverage your expertise in artificial intelligence (AI) , automation tools, and software development to design, build, and deploy tools that streamline workflows, automate repetitive tasks, provide insightful data analysis, reduce costs and help the company scale.

Responsibilities
Work with the AI Projects Manager to research, design, and develop AI-powered solutions (e.g., chatbots, machine learning models) to automate tasks, unlock scaling opportunities and generate efficiencies across the company.
Build internal tools that automate workflows, improve data accessibility, and improve data accessibility, and facilitate collaboration within the company.
Integrate AI and internal tools seamlessly with existing systems and infrastructure to ensure smooth operation and data flow.
Write clean, maintainable, and well-documented code or automation processes, adhering to best practices and security standards.
Conduct unit tests and implement test-driven development (TDD) methodologies to ensure code quality and reliability.
Monitor and maintain deployed tools, identifying and resolving technical issues promptly.
Stay up-to-date with the latest advancements in AI, automation tools, AI APIs, and internal tool development best practices.