דרושים » תוכנה » LLM Engineer

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.

Your responsibilities
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.
Explore and implement novel applications of AI to enhance automation capabilities and user experience.

We are looking for a Senior Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Data Scientist- Autonomous.
The Research and Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are seeking a highly skilled and experienced Machine Learning (ML) Application Engineer Team Lead to spearhead the development of reference applications in computer vision and large language models (LLMs). This role involves designing and implementing robust ML pipelines utilized by both our customers and internal teams to evaluate and benchmark our hardware/platform. The ideal candidate will lead a team of four engineers, each focusing on individual applications, ensuring synchronization and cohesive progress across projects.

Key Responsibilities:
Team Leadership: Manage and mentor a team of four ML engineers, fostering a collaborative environment that encourages innovation and professional growth.
Application Development: Oversee the design and development of reference applications in computer vision and LLMs, ensuring they meet industry standards and client requirements.
Pipeline Engineering: Develop and optimize ML pipelines for vision and LLM applications, facilitating seamless integration and deployment for customers and internal assessments.
Performance Evaluation: Lead efforts to benchmark our hardware/platform's performance against competitors, providing insights and recommendations for continuous improvement.
Cross-Project Coordination: Ensure alignment and effective communication among team members, synchronizing efforts across various application projects.
Stakeholder Collaboration: Work closely with product managers, hardware engineers, and other stakeholders to align application development with business objectives and technological advancements.

As a Software Engineer, you will be responsible for developing and implementing cutting-edge Large Language Model (LLM) technologies to create innovative hiring solutions for global clients. 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 at Defender for Cloud Apps are developing the next generation of SaaS security tools for data that is outside your network, and firewalls and perimeters don't work. Our technology allows organizations to protect their data in SaaS apps from any location, device, or network.

Defender for Cloud Apps is the most used service for protecting SaaS apps used by enterprises worldwide. And it's all being developed here, in Israel.
Are you an excellent teammate, looking to work in a lively, dynamic environment, where you can contribute, learn, and influence? Are you passionate about developing state-of-the-art engineering systems? Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey and all that - in our Tel Aviv office!

Our team values diversity of all types we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong.

Responsibilities
As a Software Engineer, you will collaborate with multiple teams across to deliver key customer solutions and support technology. You will improve the end-to-end lifecycle of services, analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs. Your role involves working on cutting-edge technologies and collaborating across disciplines to deliver impactful features. You will also contribute to business-critical initiatives in Security, requiring deep technical skills and the ability to quickly adapt to new areas. Join us to unlock your highest potential in a collaborative and agile culture

Required Software Engineer, Machine Learning
We are embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team.

We are looking for a Senior Software Engineer to join the Redis Datapath team as part of the Core Platforms group.

As a member of the core platform group, you will design and implement new features while maintaining maximum performance, investigate complex real-world issues, and develop the datapath components that support over 200 million ops/sec at sub-millisecond latency with true linear scalability.

Our ideal candidate is an experienced C++ developer who has worked with multithreaded code in a Linux environment and can approach complex problems creatively and with an open mind. You are a quick learner, eager to learn and improve, love to work and collaborate with talented team members and coworkers.

If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful company, then this is the right challenge for you.

What will you do:
Contribute to the development of proxy features, while debugging, maintaining, and improving the Datapath infrastructure to support thousands of databases and millions of requests per second.
Design and implement high-performance networking components focused on low-latency, high-throughput communication.
Optimize multi-threaded architectures and improve CPU/memory performance.
Collaborate closely with our architects, product managers, and other R&D teams to define, plan, and design features and projects.
Work with CI/CD methodologies and automation tools to enhance deployment efficiency.

Ask a member of our team and theyll answer, Our people! We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When youre part of our team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Cloud Security was born out of the acquisition of Ermetic, an innovative cloud-native application protection platform (CNAPP) company, and a leading provider of cloud infrastructure entitlement management (CIEM). The acquisition combines two cybersecurity innovators and marks an important milestone in mission to shift organizations to proactive security. The combination of and Ermetic offerings will add capabilities to deliver market-leading contextual risk visibility, prioritization and remediation across infrastructure and identities, both on-premises and in the cloud.
Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.
Your Opportunity:
Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.
Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.
Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.
Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

We are seeking an experienced Senior Software Engineer with at least 10 years of professional experience to lead the design, development, and deployment of cutting-edge drone flying software. The ideal candidate will have deep expertise in software development for drones or aerial systems, with a strong command of Robot Operating System (ROS), MAVLink, and experience with either ArduPilot or PX4 autopilot platforms. This role requires a blend of technical excellence and leadership skills, as you will be driving innovative solutions from concept to production in a fast-paced, collaborative environment.

Key Responsibilities:
Lead the development of high-performance software for drones, ensuring seamless integration with flight controllers and payloads.
Architect, design, and implement software solutions using ROS, MAVLink, and either ArduPilot or PX4 frameworks.
Collaborate with cross-functional teams to define technical requirements and develop specifications.
Develop and maintain communication protocols for drone systems, including real-time data exchange, command, and control.
Optimize software for performance, reliability, and scalability in autonomous and semi-autonomous drone applications.
Drive end-to-end project execution: from requirements gathering, architecture, and development, to testing, validation, and production release.
Act as a technical mentor and leader, guiding junior engineers and fostering a culture of innovation and excellence.
Stay updated with industry trends and emerging technologies to drive continuous improvement and innovation in drone flying software systems.