לוח משרות דרושים &nbsp;NLP/Machine Learning, לחיפוש זה נמצאו 65 משרות

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8697176

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16/06/2026

Research Scientist - Audiovisual Understanding, Model Foundations

Location: Jerusalem

Job Type: Full Time

Required Research Scientist - Audiovisual Understanding, Model Foundations
Team & role
The Core Generative AI team is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.
What you will be doing:
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

Requirements:
Experience training, fine-tuning, or post-training large-scale VLLMs or multimodal foundation models.
Strong software engineering skills, proficient in Jax or PyTorch.
Ability to develop and implement computer vision models for data filtering and evaluation.
Understanding of relevant topics in statistics, clustering.
Enjoys delving into system implementations to enhance performance and maintainability.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

This position is open to all candidates.

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8697054

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16/06/2026

Research Scientist - LTX Model Evaluation

Location: Jerusalem

Job Type: Full Time

Required Research Scientist - LTX Model Evaluation
The Role
As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Key Responsibilities:
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

Requirements:
Ideal Candidate
Technical Depth: Masters or PhD in Computer Vision, ML, or a related field, with strong software engineering skills and comfort in complex ML training environments.
The "Metric" Mindset: Deep expertise in evaluation methodology and statistical rigor. You know why standard metrics often fail and how to build better ones.
Perceptual Intuition: A sharp "eye and ear" for quality. You can articulate subtle nuances in motion or sound that automated systems might miss and use that intuition to improve our reward models.
Data-Driven Detective: You love diving into datasets to find the "why" behind the numbers, taking pride in curating and specializing data for specific evaluation tasks.
Product-Minded Scientist: You can think like an end-user. You care that our models don't just "beat the benchmark" but actually work reliably in professional pipelines.
Statistical Rigor: You understand experimental design, significance testing, and the nuances of perceptual quality assessment.

This position is open to all candidates.

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8697042

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11/06/2026

Senior Machine Learning Engineer I - GenAI Applications

Location: Tel Aviv-Yafo

Job Type: Full Time

As Senior Machine Learning Engineer, 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, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) 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.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 6 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 LLMs, Agents and MCP in production environments.

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 working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8690260

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11/06/2026

Machine Learning Engineer II - GenAI Applications

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.

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, chatbots, 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.

Requirements:
Role Qualifications and Requirements:

We are looking for driven MLEs who enjoy solving problems, who initiate solutions and discussions and who believe that any challenge can be scaled with the right mindset and tools.

We have found that people who match the following requirements are the ones who fit us best:

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 working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

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8690202

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11/06/2026

Machine Learning Engineer II

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Machine Learning Engineer, Youll work with top notch engineers and machine learning scientists on bringing it to the next level and enabling optimal customer experience while having a significant impact on the business. The work will focus on data and ML foundations for reusable training, optimization and deploying causal machine learning models.

Key Job Responsibilities and Duties:

Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.

Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.

Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.

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.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 5 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 Python (Additional knowledge in Java, Perl and Scala are an advantage) .

Experience with cloud frameworks like AWS sagemaker and training models such as using TensorFlow, PyTorch, lightgbm or scikit-learn.

Experience with data at scale using MySQL, Pyspark, Airflow, Snowflake and similar frameworks.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, matplotlib and BI tools.

Proficient knowledge of machine learning algorithms, statistical models, optimization and data structures.

Experience with experimental design, causal inference, A/B testing, and evaluation metrics for ML models.

Experience of working on products that impact a large customer base is an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8690186

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11/06/2026

Machine Learning Scientist II - Benefits & Pricing Track

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Machine Learning Scientist, you will design, build, and deploy advanced models that guide pricing and promotional optimization across us. You will work closely with other scientists, engineers, analysts, and product teams to translate complex business challenges into scalable, data-driven solutions that deliver measurable impact.

Key Job Responsibilities and Duties:

Develop and deploy models for causal inference, uplift estimation, and optimization to measure and maximize the incremental effect of price and promotion decisions.

Design and improve dynamic pricing algorithms that balance competitiveness, conversion, and profitability.

Contribute to the development of platform capabilities, enhancing experimentation, simulation, and decision-support capabilities.

Partner with product and business stakeholders to translate scientific insights into actionable strategies.

Stay up to date with the latest advances in machine learning, causal modeling, and pricing optimization, and apply them pragmatically at scale.

Requirements:
Qualifications & Skills:

MSc or PhD (or equivalent experience) in a quantitative field such as Computer Science, Statistics, Economics, Operations Research, Mathematics, Engineering, Artificial Intelligence, or Physics.

Relevant professional or academic experience applying Machine Learning to business problems (typically MSc + 5 years, or PhD + 3 years).

Proven track record designing and executing end-to-end research and development projects, and generating measurable impact through large-scale ML model development. Evidence such as peer-reviewed publications, patents, or open-source contributions is a plus.

Advanced knowledge and experience in Causal Inference, Uplift Modeling, Reinforcement Learning, Active Learning, and/or Optimization.

Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, XGBoost).

Experience working with large-scale data systems and production ML pipelines.

Solid understanding of data analytics, A/B testing, and statistical experimentation.

Experience with distributed computing and data technologies such as Spark, Hadoop, Kafka, and SQL.

Familiarity with version control systems and software engineering best practices.

Experience collaborating cross-functionally with developers, analysts, product managers, and UX specialists to deliver machine learning-driven products.

Ability to communicate complex scientific and technical ideas clearly and effectively to both technical and non-technical audiences.

Excellent English communication skills, both written and verbal.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8690168

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11/06/2026

Senior Machine Learning Scientist I - GenAI Applications

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior Machine Learning Scientist, you will work closely with engineers and product to design, develop, evaluate and deploy Gen AI powered solutions for scalable, customer-facing applications. Your work will focus on applying state-of-the-art agentic capabilities and driving business impact based on rigorous evaluations and experimentation.

Key Job Responsibilities and Duties:

Design end-to-end agentic systems, delivering high-quality, performant, and efficient solutions to production

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Pioneer and promote best practices and adoption of new technology in GenAI application development

Lead and mentor other team members, providing technical guidance and timely feedback to develop the team and motivate them to achieve their goals.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in Computer Science, Engineering, Statistics, or a related field.

Minimum of 6 years of experience as a Machine Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions to production.

Advanced knowledge and experience in GenerativeAI models at scale, Natural Language Processing and engineering aspects of developing ML.

Experience designing and executing end-to-end research and development plans and generating impact through large-scale ML & Agentic System development.

Experience on multiple ML facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.

Experience collaborating cross-functionally in the development of ML products (e.g. Developers, Product Managers, UX specialists, etc.).

Strong working knowledge of Python, LangChain, SQL, and Spark or similar technologies.

Strong coding practices, including writing and reviewing production-quality, maintainable, and well-tested code, with the ability to effectively leverage modern AI coding assistants while maintaining high standards for correctness, readability, and system design.

Excellent English communication and presentation skills, both written and verbal.

Successfully driving technical, business and people related initiatives that improve productivity, performance, and quality while communicating with stakeholders at all levels

Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8690129

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11/06/2026

C++ Team Leader for Machine Learning & Computer Vision

Location: Merkaz

Job Type: Full Time

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group. In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools. The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

Advantages:

* Experience working in multidisciplinary environments.
* Hands on experience with Python and Bash development.
* Familiarity with TensorRT framework.
* Familiarity with Git, Jira.
* Familiarity with OpenCV.
* Familiarity with CUDA and NVIDIA platforms.

Requirements:
* Bachelor’s degree in a relevant technical discipline.
* At least 4 years experience in managing a software team- Must
* At least 5 years' experience modern C++ (11 or newer).
* Proven experience in image, Computer Vision, Deep learning & Neural Networks.
* Background with multithreaded programming.
* Mathematics and algorithms oriented.
* Excellent teamwork and human relations.
* Independent, self-motivated, and fast learner.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8623389

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10/06/2026

Machine Learning Engineering Manager

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Job ID: 20153.

דרישות:
Qualifications & Skills:

3+ years leading an ML engineering team of a minimum of 4 people in a fast-paced production environment.

Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).

Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, scaling ML models, etc.

Experience designing and executing end-to-end solutions for deploying different ML models.

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.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Deep understanding of machine learning algorithms, statistical models, and data structures.

Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).

Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.

Excellent English communication skills, both written and verbal.

Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels

Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team perf המשרה מיועדת לנשים ולגברים כאחד.

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8689018

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10/06/2026

Applied Science Manager, Personalization

Location: Haifa

Job Type: Full Time

Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team.

Our team is part of our Personalization organization, a high-performing group that leverages our expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team is building next-generation personalization systems powered by Large Language Models. We are tackling novel research challenges to help customers discover products they'll love - in our our scale and latency requirements. We are a team uniquely placed within us, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.

As an Applied Science Manager, you will lead a team of scientists working at the frontier of LLM-based personalization. You will set the technical vision, drive the research agenda, and ensure your team delivers production-ready solutions. You will hire, mentor, and develop world-class scientists while fostering a culture of innovation and scientific rigor. You will partner closely with engineering and product teams to translate ambitious research into customer-facing impact, and represent your team's work to senior leadership.

Requirements:
Basic Qualifications
- PhD or equivalent research experience, or Master's degree.
- 3+ years of scientists or machine learning engineers management experience.
- 3+ years of experience leading teams that build and deploy ML models for business applications.
- Experience leading applied research in one or more of: Recommendation Systems, Information Retrieval, NLP, or Large Language Models.
- Demonstrated ability to think strategically, communicate effectively (written and verbal) with senior leadership, and drive cross-team collaboration.

Preferred Qualifications
- Experience with LLM training, fine-tuning, or adaptation (e.g., tokenizer modification, domain adaptation).
- Experience with sequential recommendation, user intent/mission modeling, or behavioral modeling.

This position is open to all candidates.

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8688972

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10/06/2026

AI Infrastructure Engineer

Location: Ramat Gan

Job Type: Full Time

Required AI Infrastructure Engineer
Description
We are building its internal AI infrastructure layer from the ground up. We have real agents running in production, a growing base of employees using AI in their daily work, and a clear architectural direction. What we don't have yet is a dedicated engineer to own it.
You'll be the first. Your job is to close the gap between "working prototype" and "production platform" - owning the foundation that hosts our agents, the pipelines that ship them, and the reliability layer (observability, cost controls, audit trails, evals) that makes it safe to run AI at scale in a trust & safety company.
This is an infrastructure-first role with deep AI fluency - not a prompt engineer, not a wrapper-framework operator, not a no-code builder. You should be equally comfortable writing a Terraform module, debugging a Kubernetes pod, and tracing an agent's tool-call chain.
We dont operate with a predefined backlog here; you will be responsible for identifying high-impact needs and bringing them to life. The perfect fit for this role has a track record of deploying agentic systems that have held up under real-world usage, balances a focus on infrastructure with a deep concern for user experience, and recognizes that the primary hurdle in AI integration is rarely the model itself.
Responsibilities:
Platform & Infrastructure:
Architect, build, and run the AWS/Kubernetes platform that hosts our internal AI agents and tools; drive AWS Well-Architected pillars (operational excellence, security, reliability, performance, cost, sustainability).
Own Infrastructure-as-Code: Terraform modules, standards, and reviews for Bedrock, agent runtimes, vector DBs, and supporting services.
AI Systems:
Design and ship production-grade agents and multi-agent pipelines using the Anthropic Agent SDK, Claude Code, AWS Bedrock, and MCP - not wrapper frameworks.
Own the full agent lifecycle: scoping → prototyping → eval → deploy → monitor → iterate.
Integrate agentic workflows into internal and product systems via APIs, databases, webhooks, Slack, and email.
Reliability, Observability, Cost:
Build first-class observability across apps and infra: OpenTelemetry, Prometheus, plus LLM-specific tracing (Langfuse or equivalent), token/cost metrics, and eval pipelines.
Define SLOs/SLIs and error budgets for AI services - latency, model fallback chains, eval regression gates, agent success rates. Lead incident readiness, response, and post-mortems.
Drive FinOps: model routing by cost, cache hit rates, batch vs. realtime tradeoffs, budget alarms, per-team chargeback visibility.
Implement guardrails: prompt-injection defenses, PII redaction, model allowlists, human-in-the-loop checkpoints, audit trails.
Org Impact:
Identify high-leverage workflows across the organization and translate them into scalable agentic automations.
Partner with R&D, Delivery, security, and external vendors to deliver platform capabilities.

דרישות:
Requirements (must-have)
3-5 years in software engineering, shipping and operating production-grade systems.
2+ years hands-on AWS, Kubernetes, and Terraform in production - not familiarity, ownership.
1-2 years hands-on building and deploying LLM-powered or agentic systems in production.
Proficiency in Python: async patterns, REST APIs, cloud-native architecture.
Production experience with native agentic SDKs (Anthropic Agent SDK, Claude Code) and MCP - tool-calling patterns, server configuration, memory systems, vector DBs.
Hands-on AWS Bedrock for model access, IAM-based auth, and enterprise deployment patterns.
Production CI/CD ownership (GitHub Actions, Argo CD, or equivalent) and observability stack experience (OpenTelemetry + Prometheus, plus LLM tracing).
Proven ownership: design → implement → release → operate → improve, independently and within a team.
Strong debugging instincts across multi-step agent chains and distributed המשרה מיועדת לנשים ולגברים כאחד.

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8688629

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10/06/2026

Research Director

Location: Tel Aviv-Yafo

Job Type: Full Time

The Research Director is a critical leadership position within our company. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is our companys largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity, scientific rigor and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities
Leading, mentoring and managing a group (2 teams) of Data Scientists
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Leading research on Affiliates, balancing between higher ranking metrics and profitability
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data research to identify pricing and decisioning opportunities to impact profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

Requirements:
8+ years professional experience in Data Science, with significant experience using Classic ML models with tabular data.
Proven experience 5+ years managing and mentoring teams of Data Scientists in a fast-paced environment.
Strong handling of statistical modeling, machine learning techniques, and optimization algorithms.
Master's degree such as Data Science, Statistics, Mathematics, Physics, Operations Research, or Computer Science.
An authoritative leader who navigates high-stakes environments with strategic maturity and exceptional communication.

This position is open to all candidates.

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8688302

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08/06/2026

AI scientist- Foundational Models and Agentic systems

Location: Petah Tikva

Job Type: Full Time

We are seeking a highly motivated and talented Junior AI Scientist to join our FILM (Foundation Intelligence & Learning Models) team. This role is designed for an early-career professional or a recent graduate who is passionate about driving customer impact, through the frontier of Artificial Intelligence, Generative AI and agentic architecture. As a Junior AI Scientist, you will work closely with senior researchers and engineers to develop, refine, and deploy cutting-edge AI solutions that impact our core technology stack.
Responsibilities:
Assist in the research and development of Generative AI (GenAI) applications and frameworks.
Clean, analyze, and interpret large datasets to derive actionable insights for model training and evaluation.
Participate in the full lifecycle of GenAI development, from initial concept to deployment and monitoring.
Stay up-to-date with the latest advancements in GenAI/ML research and propose innovative ideas to solve complex problems.

Requirements:
Education: Master of Science (M.Sc.) in Computer Science, Data Science, Mathematics, Physics, or a related quantitative field.
Technical Skills: Proficiency in programming languages such as Python or R, and experience with ML frameworks (e.g., PyTorch, TensorFlow).
Foundation: Solid understanding of probability, statistics, and linear algebra.
Passion: A deep-seated passion for AI, GenAI, and data-driven innovation.
Advantages:Previous experience in a technology-driven environment.
Hands-on experience with LLMs, prompt engineering, fine-tuning models, agentic solutions experience. Knowledge of data pipelines, SQL, and big data processing tools.
Strong communication skills and the ability to work effectively in a collaborative team setting

This position is open to all candidates.

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8684953

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08/06/2026

Staff ML Engineer, Foresight

Location: Petah Tikva

Job Type: Full Time

Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

Requirements:
7+ years of active software engineering experience with a focus on building AI driven applications, machine learning systems, and microservices at large scale.
Proven experience building AI products serving at high scales, coupled with experience designing and developing Generative AI architectures.
Extensive knowledge of large language models (LLMs) and building agents at scale is a great plus.
Experience with LLM tools and frameworks such as LangChain, vLLM, and the HuggingFace toolkit.
Proficiency in Java and Python, as well as data oriented languages, tools, and frameworks like Spark.
Strong understanding of Software Design, Architecture, and working with cloud technologies, in particular AWS, and container technologies like Docker, Kubernetes, and KubeFlow/MLflow.
Solid software engineering fundamentals, including version control systems (Git, Github), the ability to write production-ready code, and an understanding of data structures, algorithms, and performance implications.
Experience with machine learning techniques (classification, regression, clustering), mathematics fundamentals (linear algebra, calculus, probability), and data processing tools (relational, NoSQL, stream processing).
Bachelor, Masters, or PhD degree in Computer Science or a related field, or equivalent practical/work experience.

This position is open to all candidates.

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8684921

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