דרושים » תוכנה » Staff ML Engineer, Foresight

Join the B2B Group as a Staff Fullstack Software Engineer, developing the Bill-pay experience for Intuit!
In this role youll be part of an innovative team that creates the next generation of Intuits payment mechanism, helping small business to get paid faster.
If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.
You will collaborate with many teams in Intuit and contribute to many components in different Business Units.
We love engineers who lead the change, are not afraid of technical challenges, communicating with customers and delivering the most beautiful and intuitive applications.
Responsibilities:
Successful delivery of high-quality software (requirements, design, code, documentation, etc.)
Contribute to early quality activities, including peer reviews of estimates, designs and code.
Production support involved with monitoring systems and remediating issues
Partner effectively with all team members to deliver against commitments
Work cross-functionally with various Intuit teams
Commitment to team success and positive team dynamics
Strong leadership and communication skills, and ability to work well in a team
Collaborate with other engineers to share best practices and knowledge of emerging technologies
Occasionally engage with customers to get a first-hand understanding of their needs
Perform and participate in peer code reviews

we are looking for a Staff Software Engineer.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with ServiceNows AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities
Design and develop security tooling, automation, and platform services that operate at ServiceNows enterprise scale.
Contribute code directly into ServiceNow product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage ServiceNows platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.

Were looking for a driven, excellent Senior Backend Developer with a true obsession for technologies, AI, a builder who constantly explore, push boundaries and shares knowledge with others.
Join our Parking Domain and work on large-scale, high-impact systems serving millions of users!
Responsibilities
Lead complex backend projects, from functional specifications and technical design through development, deployment, and production support.
Partner closely with the Team Lead, contributing to team leadership through code reviews, mentoring, and maintaining high engineering standards.
Design, develop, and own scalable, production-grade backend systems.
Architect and lead the development of cloud-native, microservices-based systems and distributed architectures on AWS.
Work with a variety of data storage technologies and make informed decisions on data architecture.
Collaborate with cross-functional teams, including Product, DevOps, and Frontend, to deliver end-to-end solutions.
Actively leverage AI tools such as Cursor, Claude Code, and other AI coding assistants to accelerate development and improve engineering productivity.
Design and build reusable AI sub-agents, skills, and templates to scale development workflows across the team.
Main Tech Stack: Python, .NET Core, AWS, DynamoDB, SQL Server, and more.

We are seeking a highly motivated and talented Junior AI Scientist to join our FILM (Foundation Intelligence & Learning Models) team. This role is designed for an early-career professional or a recent graduate who is passionate about driving customer impact, through the frontier of Artificial Intelligence, Generative AI and agentic architecture. As a Junior AI Scientist, you will work closely with senior researchers and engineers to develop, refine, and deploy cutting-edge AI solutions that impact our core technology stack.
Responsibilities:
Assist in the research and development of Generative AI (GenAI) applications and frameworks.
Clean, analyze, and interpret large datasets to derive actionable insights for model training and evaluation.
Participate in the full lifecycle of GenAI development, from initial concept to deployment and monitoring.
Stay up-to-date with the latest advancements in GenAI/ML research and propose innovative ideas to solve complex problems.

We are seeking a skilled versatile software engineer with a vast experience in enterprise business applications development (like: Salesforce, NetSuite etc.) that will be part of the business applications development team and will also have a deep understanding of enterprise grade AI development and implementation, specifically, but not limited to, Microsoft 365 AI tools , Microsoft applications building tools, Claude tools and working with various AI models.
The ideal candidate will design, implement, and optimize business solutions and AI solutions that enhance Cellebrite business processes, productivity and collaboration across our organization.
Key Responsibilities:
Design, develop, and deploy business applications solutions and AI-driven solutions integrated with enterprise business systems.
Partner with IT analysts and business stakeholders to understand requirements, and translate them into scalable technical solutions, that deliver measurable business impact.
Build and integrate LLM-based solutions (e.g., OpenAI, Anthropic, AWS Bedrock), including coding, orchestration workflows using tools such as LangChain, n8n, or similar frameworks.
Own the end-to-end lifecycle of business applications and AI solutions -from prototyping and experimentation to production deployment, monitoring, maintenance & support and continuous optimization.
Integrate and enhance enterprise platforms (e.g., Salesforce, NetSuite, iPaaS services) with AI capabilities to improve business processes.
Evaluate, adopt, and standardize AI tools, frameworks, and best practices, while staying current with emerging technologies and proactively being part of a continuous innovation.
Maintenance and support - handling relevant tickets and bugs within defined SLA and customer satisfaction targets.

Responsibilities
Take full end-to-end ownership of features - from product thinking and design through development, testing, deployment, and post-production monitoring.
Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and services.
Champion and apply agentic development practices, leveraging AI-assisted tooling and automation to accelerate R&D velocity.
Develop robust and scalable systems using Node.js,C#,React, TypeScript and related frameworks.
Own the full DevOps lifecycle - CI/CD pipelines, containerization, release management, and production observability.
Optimize web applications for performance, scalability, and security across both microservice and monolithic architectures.
Write and maintain automated tests (unit, integration, end-to-end) to ensure code quality and reliability.
Utilize version control systems, particularly Git, for code management and collaboration.
Stay current with emerging technologies, AI tooling, and modern engineering trend.

We are looking for a software engineer to build AI infrastructure that enables agentic workflows for DSP software development and legacy code maintenance.
The role focuses on developing code-aware AI systems that can reason about large embedded C/C++ codebases, particularly in DSP environments with custom instruction sets. You will design the infrastructure that allows AI agents to understand code structure, retrieve relevant context, analyze DSP kernels, and generate validated patches integrated into real development pipelines.
This is a unique opportunity to work at the intersection of agentic AI systems and real-world physical products, enabling AI-assisted development for complex embedded DSP software powering production hardware.
What will your job look like?
Build AI-driven developer infrastructure to support DSP software development workflows
Design code-aware retrieval systems combining structural program analysis with semantic search
Implement DSP-aware indexing pipelines that detect vector operations, loop kernels, accumulator flows, memory access patterns, and custom instruction usage
Design agent orchestration workflows for planning, code analysis, patch generation, and build/test validation loops
Integrate the AI system with build systems, compilers, and simulators to validate generated changes
Enable AI-assisted workflows for legacy code comprehension, dependency tracing, debugging, refactoring, and DSP kernel optimization.

We're looking for a hands-on Software Developer to join our R&D team, working on the full pipeline - cameras, video processing, automated production, graphics, and backend infrastructure. If you love low-level systems, real-time challenges, and seeing your code live in actual sports arenas, this is the role for you.
As part of your role, you will:
Develop and maintain high-performance C++ systems across the video pipeline
Work on real-time video processing, ingest/transcode pipelines, and streaming infrastructure
Collaborate with the team on backend services written in Python and Go
Identify and resolve performance bottlenecks in multithreaded, low-latency systems
Work closely with Product, QA, and DevOps to ship reliable, scalable features
Leverage AI tools (primarily Claude) as part of your daily development workflow.

A cybersecurity company is seeking a Founding Engineer for a key and impactful role.
This position includes full ownership of the development, architecture, and delivery of an advanced SaaS platform designed for Enterprise organizations and cybersecurity management.
This is a senior role for a highly hands-on candidate with strong technical depth, broad system thinking, and the ability to lead a product end-to-end - from architectural decisions to maintaining a stable, secure, and scalable production environment.
Responsibilities:
Lead the entire R&D function of the product
Make architectural decisions and maintain a scalable, reliable, and secure infrastructure
Stay hands-on with development when needed, including Backend, Frontend, Infrastructure, and integrations
Work closely with leadership, product, and business stakeholders to build a clear technical and product roadmap
Bridge business needs, cybersecurity challenges, and technical execution