לוח משרות דרושים NLP/Machine Learning

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 The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Manage a team that will design, develop, and implement predictive models, machine learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions for Fair Lending compliance Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices This position reports to the Fair Lending Data Science Manager
You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a quantitative field. - Must ( Advance degree an advantage) Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
* Strong knowledge of advanced analytics and machine learning techniques such as regression and classification algorithms including linear and logistic regression, k-nearest neighbors, support vector machines (SVMs) and other techniques
* Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and machine learning
* Strong technical proficiency in data science tools and programming languages such as Python, R, SQL , with experience in developing predictive models and machine learning algorithms
* Experience working with large-scale datasets
* Ability to communicate findings and recommendations to stakeholders
* Strong problem-solving skills while paying attention to detail
* Strong project management skills, with the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment
* Ability to facilitate collaboration to achieve project goals A Bonus
* 2+ years of experience in a leadership or management role an advantage
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) preferred
* Experience in Fair Lending analytics preferred
* Knowledge of regulatory compliance frameworks and industry guidelines for fair lending risk management an advantage
* Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage
* Experience with data visualization tools such as Tableau, Power BI an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, Cross River has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ong

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.

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.