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

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).

Do you enjoy working with a dynamic team to develop a revolutionary and unique product?

Are you energized by pushing boundaries and challenging the status quo?

Do you take pride in building clean, scalable code that empowers AI innovation?

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 our 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!

As an Associate Software Engineer, you will be responsible for researching and implementing Large Language Model (LLM) technologies to help strengthen and scale our conversational AI capabilities. In this role, 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 to hire a talented and experienced Backend Software Engineer for our Data Detection & Response product to join us and be a part of the companys early stage core team.

The Detection team is composed of talented Backend Engineers and is responsible for building our real-time threat detection product, analyzing events at hyper-high scale and looking for malicious activity that can harm users. You will be working with other R&D teams, researchers, product managers, and designers.

RESPONSIBILITIES
Designing and implementing core components within the detection architecture, including microservices, ETLs, and core libraries
Planning and implementing the rollout, testing and monitoring of features deployed to production end to end
Conducting design and code reviews with the other team members
Analytical approach for scale, optimizations and data-driven decisions
Drive and passion for pushing cross R&D-product workflows and initiatives

We are seeking an outstanding Hands-on Software Architect to join our team in Tel Aviv. This is a great opportunity to join a young, VC-backed, fast-growing start-up that encourages its employees to innovate and implement their ideas. In this role, you will define the architecture and designs and guide the implementation of significant development efforts for both existing products and new ones.

YOUR DAY-TO-DAY ROLE
Develop and implement technical architectures and designs.
Collaborate with other architects and groups to develop design principles, technical standards, and best practices to promote consistency and excellence in design and implementation.
Ensure that principles, standards, and best practices are followed in your areas of responsibility architecture, security, and networking.
Take an active, hands-on part in the development of new and existing features, including creating and configuring environments, writing code, and performing code reviews
Work with the Product Managers and Engineering team leads to convert product ambitions into robust solutions
Engage with diverse teams to ensure end-to-end feature delivery.
Stay updated with the latest technologies and trends, ensuring Own architecture remains modern and fit for purpose.

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 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.

As a senior computer vision engineer, you will be part of an elite group in the field of AI microscopy and hematology. Our computer vision team is responsible for solving the most challenging tasks in microscopy image analysis. You and your colleagues will research and develop new AI models to analyze thousands of cells, build new infrastructure for on-premise inference, and collect vast labeled data to provide a clinical-grade solution that runs in real time.

Your responsibilities will include:

Continually bringing new knowledge, experience, ideas, and best practices to the team
Implementing AI based on classic computer vision and deep learning, writing clear and efficient code in Python for smooth productization
Continually improving the teams internal research methods and tools
Supporting team members with their research
Take part in defining team data needs
Collaborating with physics, software, and data teams

We are looking for an experienced software Engineer to join our AI group and build our next generation Machine learning infrastructure and enable the research and development of new models.
What will you do?
Work closely with data scientists, data engineers and other stakeholders to streamline, implement and optimize our machine learning models and data pipeline infrastructure.
Design and build automated pipelines and tools for model training, testing, validation, and deployment to ensure smooth and efficient operations.
Manage infrastructure requirements for machine learning projects, including cloud resources, container orchestration (e.g., Kubernetes), and distributed computing systems.
Build and maintain monitoring and alerting systems to proactively identify the models performance and bottlenecks and optimize the systems speed, scalability, and cost.

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