לוח משרות דרושים NLP/Machine Learning משרה מלאה

We are looking for a Head of AI and Perception.
As the Head of AI and Perception, you will lead a dynamic team of experts spread across Israel and Canada. Your primary goal will be to oversee the development and deployment of visionary AI and perception solutions for ADAS and AD applications.
You will set the strategic direction, establish best practices, and foster a culture of innovation and excellence within the team.
Key Responsibilities:
Manage a global AI and Perception algorithm team, ensuring adherence to top-tier engineering standards.
Define working methodologies, tools, and a common research environment to facilitate collaboration and efficiency.
Incorporate best practices in ML Ops to optimize model lifecycle processes.
Collaborate with cross-functional teams to align objectives and integrate solutions seamlessly.
Supervise the design, architecture, development, and deployment of AI and perception solutions.
Contribute to company-level research priorities, technology vision, and product roadmap.
Support customer engagement in early stages, including RFIs, RFQs, and product definitions.
Cultivate a culture of collaboration, perpetual learning, and peak performance within the team.
Provide leadership in monitoring project progress and producing regular reports.

Were in search of a Prompt Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide., you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!

As a Prompt Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Dive deep into the potential of Large Language Models (LLMs), specifically aiming to enhance the conversation quality of our AI-driven hiring assistant. Experiment with different techniques and methodologies to optimize the interaction between users and AI.
Craft, test, refine, and optimize prompts to effectively communicate with existing AI models, aiming for improved clarity, efficiency, security and user satisfaction.
Implement and assess practical applications of LLM research findings in user-facing applications, creating scalable, impactful tools.
Develop scalable testing methods for LLMs, allowing for rigorous and systematic evaluation of different models, parameters, and techniques.
Work closely within our global R&D team to drive the evolution of prompt strategies, fostering a collaborative and innovative environment

Our Tel-Aviv-based team is committed to spearheading innovative projects using cutting-edge technologies such as Large Language Models (LLM) to create novel hiring solutions for global clients. As part of our team, you'll be at the forefront of our mission, directly influencing the hiring experiences of millions of candidates worldwide.

Sound like your perfect fit? We want to hear from you!

In this role as a Senior Software Engineer, you will:

Dive deep into Large Language Model (LLM) technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices.
Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients.
Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures.
Deeply understand product challenges to make intelligent and efficient software-building decisions.
Collaborate closely with our global R&D, Product, and Design teams located in the US and Vietnam. This role includes the exciting opportunity for international travel once or twice a year, fostering cross-cultural cooperation and growth.

We are looking for an Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for an Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

Required Staff Machine Learning Engineer
Job Description:
What you get to do in this role:
The Advanced Technology Group (ATG) is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
Build the best cloud-based AI/ML solutions to power intelligent enterprise services
Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users.

We are looking for a Senior Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

We are looking for a Machine Learning Engineer to join our team as a Technical Lead. The Technical Lead will be integral to the data science feature development process, working with data engineering.
You will design machine learning pipelines, apply algorithms to generate predictions, tackle data set challenges, and develop the first-ever, real-time corporate credit score platform.
This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment. This position does not involve managerial duties but rather entails leading technically.
You will:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Build forecasting/prediction models from scratch (POC) to production-ready
Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
Collaborative mindset to improve the AI team, communicate with stakeholders, and shape research vision.
Take a critical role in the research process for finding the best market solutions for defined business problems
Guide the R&D team and product teams

we are looking for a passionate and highly skilled Machine Learning Engineer to join our forward-thinking team.

Responsibilities
Responsible for the machine learning system
Design new machine learning models and solutions together with the product team.
Design, implement, and validate machine learning systems and integrate them into the Appcard backbone.
Tune and monitor the production machine learning system.

We are seeking a talented and experienced Data and ML Engineer, youll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources

We are looking for a senior ML Software Engineer to join our R&D team. In this position you will need to implement innovative ML algorithms on a variety of platforms: web, mobile devices, cloud, etc. You will also learn the latest machine learning techniques.
Responsibilities: · Writing clean, high-quality, high-performance, maintainable code. · Writing algorithms for video processing. · Porting algorithms from Python to other languages (e.g., JS/TS). · Integrating these algorithms into the product. · Investigating and eliminating performance bottlenecks.

Our company is a global leader in space-based intelligence solutions, trusted for over two decades by the world's leading defense and intelligence agencies.
We specialize in delivering custom-made solutions that meet the strategic intelligence requirements and challenges of our clients.
We are looking for a highly motivated and experienced ML Engineer to join our dynamic team.
In this role, you will be designing, implementing, and deploying advanced Machine Learning pipelines to enhance the intelligence capabilities of our solutions.
You will work closely with data scientists, software developers, and DevOps teams to ensure seamless integration and deployment of these technologies in production environments.
This role is an opportunity to be at the forefront of technological innovation in space-based intelligence.
You will work with a team of experts dedicated to maintaining our standing as a leader in the industry and will have the chance to contribute to projects of national and international significance.
Responsibilities:
* Design and develop sophisticated Machine Learning (ML) pipelines end-to-end, tailored for scalability, usability, and high performance.
* Collaborate with software developers and data scientists to integrate Machine Learning technologies into robust production systems.
* Continuously monitor and evaluate the performance of deployed models, optimizing them through regular testing, experimentation, and updates.
* Keep track of the latest advancements in Machine Learning and related technologies, integrating cutting-edge solutions to enhance product offerings.
* Manage data from diverse sources, develop features from raw data, and build comprehensive end-to-end ML pipelines.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We utilize the latest Artificial Intelligence and Electro Optics technologies and develop lifesaving, vision systems for the global railway market. We are looking for an experienced and sharp Algorithm Manager with management experience and a solid understanding in Deep Learning and Computer Vision in order to effectively lead a team of researchers who develop the core networks and algorithms for collision avoidance, utilizing multiple cameras at multiple wavelengths and zoom, multiple corresponding inertial and location hardware. What will you do?
* Leading a team of researchers and communicate with other research teams.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Advantages:

* Familiar with Electro optics devices (Thermal cameras, lenses, etc.)
* Experience working in multidisciplinary environments
* Experience in the automotive industry

As a Senior Data Engineer at CodeValue, you'll play a crucial role in our data team, contributing to the development and maintenance of scalable data pipelines and systems. You'll be at the forefront of designing, implementing, and optimizing data solutions that drive our business objectives and empower data-driven decision-making processes. Collaboration with data analysts, data scientists, and other stakeholders will be essential to ensure data integrity, reliability, and accessibility. Responsibilities:
* Design, develop, and optimize data pipelines and architectures using a variety of technologies and tools including Python, SQL, Spark, Kafka, and Airflow.
* Develop efficient data models to facilitate storage, retrieval, and processing, with a focus on schema design for NoSQL databases, data lakes, and data warehouses.
* Ensure scalability of big data architecture to handle large data volumes and high traffic loads.
* Implement data quality checks, validation processes, and data governance measures to ensure accuracy and consistency of data.
* Monitor, troubleshoot, and debug data issues and performance bottlenecks.
* Implement security measures such as encryption, access controls, and data masking to protect sensitive data.
* Research and evaluate new data technologies and best practices to enhance data engineering processes and solutions.

Top Profiles:
Top Profiles

an automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. connects to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel's 50 most promising startups two years in a row

Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
80 employees
HQ in Tel Aviv with growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay.

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

We are looking for a LLM Specialist.
The LLM Technology Specialist will be integral in leveraging the latest advancements in large language models and related AI technologies to enhance our marketing efforts. This role is responsible for identifying and applying innovative AI solutions to improve marketing strategies and operations.
What you will be doing:
Keep up-to-date with the latest trends in large language models, both open-source and proprietary.
Analyze how leading companies utilize LLMs in marketing to uncover best practices.
Identify promising LLM applications within marketing to boost efficiency and effectiveness.
Prioritize and guide the implementation of these applications in collaboration with the marketing and tech teams.
Develop effective prompts with stakeholders to achieve desired outcomes using LLMs.
Prototype potential applications that address specific marketing challenges.
Ensure prototypes are smoothly transitioned into production with the help of the marketing-tech team.
Conduct training sessions to enhance the marketing team's proficiency with AI tools.
Monitor and report on the performance of AI implementations.
Offer insights and recommendations based on data and industry trends.