לוח משרות דרושים NLP/Machine Learning משרה מלאה

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team.
This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used.
You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.
RESPONSIBILITIES:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

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 are hiring a computational researcher to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration.
Projects are highly collaborative and will draw on various techniques, including deep learning for computer vision, statistical genetics, causal inference, and multi-omics studies.
In this position, you will initiate, lead, design, and implement AI/ML-driven biomedical studies with domain experts (biologists/clinicians). We integrate multidisciplinary biology and data science methods, real-world human clinical data, and molecular experiments. We aim to leverage AI/ML and develop powerful bio-medical predictive models. We also translate the molecular mechanisms we have discovered that underlie neurodegeneration into potential therapies.

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 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 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