You will design, develop, and optimize ML model pipelines, and scale our models from research to production.

RESPONSIBILITIES
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:

Design, Develop, Test and Maintain ETLs and services for integrating with our customers various data systems.
Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
Develop end-to-end algorithmic solutions for complex ML problems from research and training models, through design, development, evaluation and optimization.
Develop train and inference engine pipelines in a large scale distributed system.
Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
Design, Implement and Optimize ML/DL and research pipelines to improve algorithms performance.
Transform high-level product requirements into technical requirements
Brainstorm and prototype algorithmic improvements.
Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).

Deep Instinct, the first cyber security company to apply Deep Learning to cyber security is looking for a Senior DevOps Cloud Engineer. Deep instinct is an innovative start-up that has a unique and game-changing software solution to protect Fortune 500 End-Point users against Zero Day & APT cyber-attacks. This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW! You will take part in Developing, maintaining, and optimizing our products and their production environments. Play a key role in designing our transformation from a single tenant service to a high scale multi-tenant HA cloud native solution. Influence and optimize our software delivery lifecycle, Infrastructure as code, container orchestration, artifact managers, monitoring, and more while working closely with development and research teams.

Office Location:
TLV Office

Region:
Israel

Responsibilities::
What kind of things we do? Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them. Collaborate closely with development teams to understand their current build and release processes and make recommendations for improvement. Partner with cross-functional stakeholders, including development, research, operations, quality assurance and security, to streamline processes. Provide guidance to development teams to improve performance and operability of the solutions they develop. Build and maintain the CI/CD pipelines to improve developer productivity, agility, and code quality. Develop and continuously improve automation solutions to enable teams to build, deploy and test code efficiently and consistently. Ensure that systems meet business and customer needs for reliability and availability. Monitor and manage application performance and service quality, including initial troubleshooting, identification of root cases and issue resolution. Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.


Why Work With Us::
Deep Instinct , is the first cyber security company to apply Deep Learning as a platform. We are the only cyber security company harnessing the power of deep learning to prevent 99% of known and unknown attacks from malware and zero-day threats. Deep Instinct Prevention for Endpoints . Prevention of malicious files at the endpoint is critical. Deep Instinct prevents known, unknown, zero-day, and ransomware from executing on the endpoint Deep Instinct Prevention for Applications. is an agentless, on-demand, anti-malware solution for the enterprise that is device and system agnostic. With our unique, industry-leading deep learning ap

We seek an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, digitizing, and analyzing hundreds of millions of data sources. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and tools for accelerating our mapping operations. Your contributions will directly impact our core product's success.

Your Mission

Collaborate with cross-functional teams to design, build, and maintain data processing pipelines, ensuring efficient data integration, transformation, and loading.
Implement geospatial data processing techniques and contribute to the visualization of data on our unified map, enhancing the product's geospatial features.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Develop and optimize complex Python-based code for data cleansing, validation, and standardization, enhancing the quality and accuracy of datasets.
Create and manage data infrastructure components, including ETL workflows, data warehouses, and databases, supporting seamless data flow and accessibility.
Collaborate in designing and implementing data architecture, ensuring effective data storage, retrieval, and security.
Design and implement CI/CD processes for data processing, model training, releasing, and monitoring, ensuring robustness and consistency.

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 looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for developing our data ingestion pipeline, introducing new analysis engines, and building complex backend designs that are both scalable and fault-tolerant.



What Youll Do:

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

As a Senior Backend Developer in the Payments Team you will be an integral part of designing, developing, and maintaining mission-critical payment processing solutions. You will collaborate closely with cross-functional teams to ensure the seamless integration of payment technologies and the continuous improvement of the payment processing systems that drive our core business

Responsibilities
Involvement and ownership of all aspects of product development, from ideation through architecture to implementation, testing and continuous deployment
Work closely with developers, product managers, and other stakeholders to ensure smooth integration and delivery of features
Provide technical guidance and mentorship to developers, fostering their growth and helping them enhance their skills
Design and implement RESTful APIs to enable seamless integration with various internal and external systems
Optimize application performance, ensuring low latency, high availability, and reliability
Participate in design and code reviews and ensure adherence to coding standards
Conduct thorough testing of backend components, write automated tests, and ensure high code quality and reliability
Identify and address bottlenecks, bugs, and performance issues within the backend infrastructure.
Stay up-to-date with industry trends, emerging technologies, and best practices to continually improve the development process.
Contribute to the overall technical strategy and architecture of the product

We are making the future of Mobility come to life starting today.

we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.

seeking a talented and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer , you will play a crucial role in optimizing and expanding our data services, driving advanced machine learning models and optimization algorithms. You will have the opportunity to work on diverse challenges such as data pipelines, optimization, prediction, modeling, transportation, and mapping.
We are looking for someone who is passionate about data engineering, with a strong background in backend development and experience in architecting and implementing data pipelines. You will collaborate with business teams and customers to understand their unique needs and requirements, and translate them into efficient and scalable data solutions. If you are a fast learner, independent, and enjoy tackling complex problems, we would love to hear from you!

Key Responsibilities:

Design and maintain production-level machine learning and data pipelines
Take full data ownership of existing and new features, including data extraction, manipulation, validation, and testing
Create, support, and maintain data marts with a focus on data integrity, performance, and long-term maintainability
Collaborate with business teams and customers to understand unique needs and requirement

Our team is part of our Personalization organization, a high-performing group that leverages our expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers.

Our vision is to enhance the customer shopping experience on us by leveraging personalization techniques. We strive to save customers valuable time by tailoring their search journey to their individual needs, interests, and preferences. Our goal involves identifying personalization opportunities to develop and optimize customer experiences, thereby improving the overall search and discovery process across our company.

Key job responsibilities
As a Software Developer Engineer in this role, your responsibilities will include:
- Develop and maintain key services for enhancing personalized customer experiences.
- Collaborate with peers to explore design strategies, prototype new technologies, and assess technical feasibility.
- Partner closely with Applied Scientists to handle extensive data, scale machine learning models, and refine criteria vital to customer experience success.
- Lead system architecture and advocate best practices for a quality infrastructure.
- Engage in Agile/Scrum methodologies to deliver high-quality software within tight schedules.
- Face challenging, unique and ambiguous scenarios daily, collaborating with various technical teams in our company.
- Gain expertise in cutting-edge technologies and algorithms, particularly in Generative AI, to enhance our pursuit of creating the ultimate shopping experience.