לוח משרות דרושים NLP/Machine Learning

We are looking for a top-notch machine learning research engineer to help disrupt the manufacturing world with breakthrough deep reinforcement learning algorithms!
About us:
We are revolutionizing manufacturing paradigms with specialized deep reinforcement learning algorithms developed by world-class machine learning scientists. At this very moment, facilities of multiple Fortune-500 companies across the world are being optimized by us, enjoying hundreds of millions of dollars in incremental value. The company was founded by award-winning scientists, elite IDF tech unit graduates, and serial entrepreneurs. It is backed by top venture capital firms.
We are looking for:
You, a top-notch machine learning research engineer, to join our CTO office, and lead complex deep learning research and deployment activities. This is a one-of-a-kind chance to be on board an extremely successful startup, get exposed to various technological and scientific disciplines, and work with world-renowned experts in machine learning.
As a machine learning research engineer at our CTO office, you will:
Conduct long-term open-ended research that enhances and expands our deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging our core technology to develop and deploy tailored solutions to clients.

We're on the lookout for an NLP Data Scientist and a Backend Engineer whos as enthusiastic about Generative AI as we are.
In this role, you'll contribute to the development of robust LLM applications, as well as backend systems and infrastructure that support our Generative AI initiatives, aimed at enhancing efficiency and automation. Youll be instrumental in supporting the creation and maintenance of backend services, collaborating with cross-functional teams, leading GenAI applicative research tasks, and contributing to the advancement of GenAI projects. Youll also identify areas for improvement by analyzing user data, AI technologies, and user feedback.
In this role youll:
Use and extend our Generative AI Dev tools as well as open source and other latest LLM App building tools.
Work directly with the latest Generative AI technologies to develop advanced applications and maintain technical relevance in a rapidly-evolving field.
Significantly impact efficiency, improvement, and automation within the company by supporting Generative AI projects
Work in a highly production-minded environment
Participate in research and analysis to identify pain points and opportunities for AI-driven automation and efficiency improvements
Work in tandem with cross-functional teamsincluding Design, Engineering, Data Science, and Operationsto facilitate the integration of Generative AI and process enhancements
Work within a talented team with a fast-paced workflow.

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions. Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.

We are seeking a talented Backend Developer with a strong background in Large Language Models (LLM), Diffusion Models and GenAI engineering. The ideal candidate will have professional experience programming in Python and a solid understanding of AI protocols and standards.
The Product:
ConvergeCONSUMER is a solution designed to help businesses understand and predict consumer behavior. It combines customer data, next-generation technology platforms, AI, and machine learning to predict consumer demand.
The solution leverages decades of experience in the consumer sector to drive value for clients. It helps businesses understand their customers' spending behaviors and preferences by combining CRM data with external data.
In this role you will:
Write effective and scalable Python code.
Develop and implement AI models including Large Language Models (LLM) and Diffusion Models.
Utilize GenAI engineering tools such as LangChain, RAG, Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.
Full time Job
Location: Tel Aviv, Hybrid.

We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.

What youll do

Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Fine-tune models for specific security-related tasks, maximizing their effectiveness and reliability.
Explore and implement novel applications of AI to enhance automation capabilities and user experience.

* We are developing a cutting-edge promotion operating system that helps brands manage, analyze and optimize their promotional spend. Our system uses Causal Machine Learning to analyze the incrementality of promotions and help our customers optimally invest their promotion budgets.
* We believe causality is the best way for companies to act on their data. If you do too, you might be a good fit!
Responsibilities
* Analyze raw event data, decide which data is desirable, and structure the data in a useable way
* Create data transformations that are easy to consume in real time
* Build real time and batch prediction models using Causal ML for users incremental lift
* Design complex experiments that TEST reactions to different treatments
* Collaborate with engineering team to bring Machine Learning models to production
* Generate actionable insights for our customers
* Suggest potential areas of explorations based on business impact

We are looking for an experienced team lead for our AI pipelines team.
Company Overview:
We are developing an innovative HW/SW computing platform for DL inference acceleration which sets new, unprecedented, bars of high performance and cost. Our platforms are targeted for cloud and enterprise (in-perm) environments.
Role description:
You will lead a small talented core team of our R&D which is responsible for the following main deliverables:
Designing, analyzing, and optimizing workloads from various sources (open source, customer-provided, home-grown) on our platforms. The focus is on workloads for NLP, speech, and computer vision.
Benchmarking and competitive analysis of workloads on other inference acceleration platforms.
Working directly with customers on new requirements and efficient deployment of their workloads on our platform
Identifying missing gaps and new requirements for SW/HW to improve workload performance and efficient deployment.
This is an exciting opportunity to work on cutting-edge and emerging technologies, across multi-disciplinary domains of deep-learning models and computer architectures.
This is not a position of data science!
Role responsibility:
You will lead a small engineering team (3-5 engineers)
Provide both technical and managerial leadership.
Participate in design reviews, perform code reviews, and take part in coding tasks.
Foster a collaborative and innovative team culture, ensuring effective communication and knowledge sharing.

We're looking for an experienced Senior Software Engineer, with a passion for delivering high-quality code to join the Machine Learning Engineering team which implements and deploys our cutting-edge computer vision-based algorithms, and develops the next-generation solution for our smart cart.
About The Role:
Design, develop, and maintain our computer vision-based solution
Identify bottlenecks, and write highly optimized code exploiting various HW accelerators
Take part in all architecture and development stages, and work closely with the Algo and QA team members
Contribute to the teams engineering culture, by implementing best engineering practices.

We're looking for a passionate ML SW Team Leader, which loves creating, shaping and impacting the company's product and vision.
As a ML SW Team Leader, you'll deliver a scalable, high quality infrastructure, combining AI models with Application needs. Building a fast, scalable and reliable data pipeline on IOT device, Deal with a bunch of technological challenges in areas such as performance and data scale, high standards, clean-code, and more.
You will need both low-level and high-level knowledge to handle performance and AI challenges while delivering high quality features and infrastructure. Constantly improve the process, adopt new technologies and create better products.
About The Role:
you will design, build and deliver the next generation features of our ML based solution.
Managing the day-to-day activities of the team, dealing with priorities and challenges.
Perform code reviews, design reviews, evaluate implementations, and provide feedback to team members.
Plan the team work based on business goals, estimate the effort, provide due dates, and deliver on them.
Build your team hire, coach, mentor, improve and lead your engineers.
Work closely with researches and App team developers in defining and delivering features.
Contribute to the company's engineering culture, by implementing best engineering practices.

Required Software Engineer- MLE Team
Full-time
Tel-Aviv
An AI start-up specializing in retail solutions and shopping experiences. Our technology turns any shopping cart into a smart cart. Powered by computer vision and data analytics, the cart lets shoppers grab the products they want and skip the checkout lines when they leave the store.
We are based in Tel Aviv, deployed by major grocery chains worldwide, and employ some of the best minds in the AI sector.
We're looking for someone with a passion for delivering high-quality code to join the Machine Learning Engineering team which implements and deploys our cutting-edge computer vision-based algorithms, and develops the next-generation solution for our smart cart.
About The Role:
Design, develop, and maintain our computer vision-based solution
Identify bottlenecks, and write highly optimized code exploiting various HW accelerators
Take part in all architecture and development stages, and work closely with the Algo and QA team members
Contribute to the teams engineering culture, by implementing best engineering practices.

We are seeking a developer for a key position in our data science and algorithms team, with a significant opportunity to drive the next-generation technology of our company.

As an NLP Specialist you will work in the CTO group and be responsible for tasks across all of the applied algorithmic research aspects of allowing Maverick to support autonomous coding for a medical subspecialty.

RESPONSIBILITIES
Providing high coverage and fidelity autonomous coding for your assigned medical specialty. This includes, of course:

Data acquisition
Interaction with domain experts including
Annotation team(s)
Auditors
Interacting with:
Product Managers
Peer researchers
Research engineering
Data cleaning
Coding consistency
Synthetic medical data generation
Designing, training, evaluating, improving and maintaining machine learning models, including cutting edge deep learning models.
Designing, implementing and maintaining machine learning and research pipelines
Conducting applied algorithmic and reproducible research
Delivering timely updates to ever improving autonomous coding capabilities

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.