we are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Staff ML Engineer at our company, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team sits at the intersection of machine learning, optimization, and real-world operations - turning complex, multi-dimensional challenges into the real-time intelligence that powers our company's mass-scale automated dispatch system. This is a rare opportunity to work on problems that are genuinely hard, at a scale that is genuinely rare, where the solutions you build have a direct and visible impact on the efficiency and reliability of transit networks around the world.
About the Role:
Own the development of ML models and optimization algorithms that drive our company's real-time dispatch system - making smart, scalable decisions across thousands of simultaneous rides, drivers, and operational constraints.
Design and implement online algorithms for real-time decision-making, balancing system utilization with a consistently high quality of service for riders - where every millisecond and every percentage point of efficiency matters.
Model and mathematically represent competing demands on our company's system, translating messy real-world operational complexity into elegant, tractable formulations that can be solved at scale.
Use sophisticated statistical methods to analyse demand patterns, traffic dynamics, and fleet performance - generating insights that directly inform algorithm development and operational strategy.
Collaborate closely with engineering, product, and operations teams to bring complex algorithmic work to life in production - owning the full journey from research and prototyping through to real-world deployment and iteration.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

Were looking for a Senior MLOps Engineer to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

As we scale our AIDR product and expand deeper into model-driven security intelligence, we are looking for a Senior MLOps Engineer to own the infrastructure, tooling, and operational foundations that power our NLP and LLM training, evaluation, and deployment workflows.

You will architect and operate the systems that enable us to train, fine-tune, deploy, and monitor models at scale making ML reliable, fast, cost-efficient, and production-ready.

This is a high-visibility, high-impact role where you will partner closely with DevOps, Backend, Data, and Product to establish world-class ML infrastructure from the ground up.

What Youll Do

Build & Scale ML Pipelines
Design, build, and maintain pipelines for training, fine-tuning, evaluating, and deploying NLP and LLM models across GPU and CPU environments.
Establish LLM-Focused CI/CD
Implement automated CI/CD workflows for ML models, including benchmarking, testing, performance gating, and production deployment.
Optimize Runtime & Inference
Select and optimize serving frameworks for low-latency, high-throughput inference, ensuring reliability and scalability.
Own ML Infrastructure
Manage training environments, experiment tracking, model registries, artifact versioning, and distributed training systems.
Operational Excellence
Monitor and optimize production models for performance, cost efficiency, availability, and observability.

We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. If you are a creative, solutions oriented individual who is ready to put your career in drive, we are the place for you! We are looking for Senior Engineers who treat AI as a core part of their workflow - people who experiment, iterate, and know how to get real value out of AI tools. Flexibility, curiosity, and a problem-solving mindset are must-haves. In this role you will have the opportunity to take ownership of the development of groundbreaking, AI-driven products and work on interesting projects inside a smart, fun, and dynamic engineering team. This position is based out of our Jerusalem or Tel-Aviv offices and reports to the Dev team lead.

What you will be responsible for:

* Write clean, high-quality, high-performance, maintainable code.
* Ensure that the projects you work on meet business objectives and coding standards.
* Support the deployment and testing of new products and features.
* Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
* Design and implement APIs and integrations with third-party services to enhance system functionality.
* Optimize application performance through code profiling, monitoring, and refactoring as necessary.
* Implement automated testing frameworks to ensure code robustness and reliability.
* Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.
* Stay updated with emerging technologies, best practices, and industry trends to drive innovation within the team.
* Assist in the establishment and enforcement of development standards and coding conventions.

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters
* Integrate with tech titans: Work directly with APIs from Google, facebook, Microsoft, and more.
* Be part of a rapidly scaling company poised for the future.
* Learning and growth opportunities within a fast-paced SaaS startup environment
* Clear career advancement path for strong performers
* As a part of our team, your success in this role is crucial to our company's growth. We are committed to supporting you in achieving your KPIs and goals and providing regular feedback to help you reach your full potential. Together, we can make a real impact and achieve great things!
* And how can we forget? Cibus and lots of yummy kitchen treats:-) In the meantime, you can get to know us a little better by checking out  on instagram facebook LinkedIn Are you the one? Send your resume to us

we are a fast growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. If you are a creative, solutions oriented individual who is ready to put your career in drive, our company is the place for you! We are looking for backend Engineers who treat AI as a core part of their workflow - people who experiment, iterate, and know how to get real value out of AI tools. Flexibility, curiosity, and a problem-solving mindset are must-haves. In this role you will have the opportunity to take ownership of the development of groundbreaking, AI-driven products and work on interesting projects inside a smart, fun, and dynamic engineering team. This position is based out of our Jerusalem or Tel-Aviv offices and reports to a Dev team lead.
What you will be responsible for:
* Write clean, high-quality, high-performance, maintainable code.
* Ensure that the projects you work on meet business objectives and coding standards.
* Support the deployment and testing of new products and features.
* Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
* Design and implement APIs and integrations with third-party services to enhance system functionality.
* Optimize application performance through code profiling, monitoring, and refactoring as necessary.
* Implement automated testing frameworks to ensure code robustness and reliability.
* Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.
* Stay updated with emerging technologies, best practices, and industry trends to drive innovation within the team.
* Assist in the establishment and enforcement of development standards and coding conventions.
Why you should join us:
* An awesome global team of forward-thinking, innovative go-getters
* Integrate with tech titans: Work directly with APIs from Google, facebook, Microsoft, and more.
* Be part of a rapidly scaling company poised for the future.
* Learning and growth opportunities within a fast-paced SaaS startup environment
* Clear career advancement path for strong performers
* As a part of our team, your success in this role is crucial to our company's growth. We are committed to supporting you in achieving your KPIs and goals and providing regular feedback to help you reach your full potential. Together, we can make a real impact and achieve great things!

We are looking for a Software Engineer to join our core Algorithm team as an dedicated data-core / platform engineer. You will support the algorithm engineers developing detection algorithms to design and build the infrastructure they run on: the object-detection (OD) pipeline, its orchestration and deployment, its data and model catalog, and the benchmark and labeling systems that drive model improvement. This is a high-autonomy role with real, end-to-end ownership of production systems from day one.

The technologies listed in this description are examples of our day-to-day - not a rigid checklist. We care far more about how you think, how you plan, how you debug, and how fast you learn than about which specific tools you have already used. If you love the craft of making things work and want to go deep, you can learn the rest here.

In the AI era, being a strong engineer means more than writing great code. It means operating as an architect who directs AI agents - designing the solution with clarity, then guiding them to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.



What You'll Do

Take on hard, open-ended infrastructure challenges and make them work - designing, building, decoupling, and hardening the systems behind our object-detection pipeline, from data and model management to benchmarking, so everything runs reliably at scale.
Architect and build the backbone of the OD pipeline - orchestration (Airflow on Kubernetes), data plumbing (S3 / PostGIS / SQS), CI/CD, and deployment across multiple environments - designing clean interfaces and data contracts the algorithm team can build on with confidence.
Debug across the whole stack, wherever the problem leads - a stuck DAG, a flaky pipeline stage, a slow query, a GPU/driver mismatch - and turn one-off firefights into lasting fixes and better observability.
Own the data and model lifecycle: versioned datasets and model weights with clear provenance, and the labeling → export → retraining loop that keeps the models improving.
Learn fast and go deep. Pick up new tools and new layers of the stack as the work requires, and raise the team's engineering and operational standards as you go.
Partner closely with algorithm engineers and the data-collection / labeling operations team to turn research prototypes into robust, scalable production systems.
Integrate AI tools into your workflow and grow into operating as an architect who directs AI agents - designing the solution, then guiding them to build it.

We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. If you are a creative, solutions oriented individual who is ready to put your career in drive, we are the place for you! We are looking for Senior Engineers who treat AI as a core part of their workflow - people who experiment, iterate, and know how to get real value out of AI tools. Flexibility, curiosity, and a problem-solving mindset are must-haves. In this role you will have the opportunity to take ownership of the development of groundbreaking, AI-driven products and work on interesting projects inside a smart, fun, and dynamic engineering team. This position is based out of our Jerusalem or Tel-Aviv offices and reports to the Dev team lead.

What you will be responsible for:
* Write clean, high-quality, high-performance, maintainable code.
* Ensure that the projects you work on meet business objectives and coding standards.
* Support the deployment and testing of new products and features.
* Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
* Design and implement APIs and integrations with third-party services to enhance system functionality.
* Optimize application performance through code profiling, monitoring, and refactoring as necessary.
* Implement automated testing frameworks to ensure code robustness and reliability.
* Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.
* Stay updated with emerging technologies, best practices, and industry trends to drive innovation within the team.
* Assist in the establishment and enforcement of development standards and coding conventions.

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters
* Integrate with tech titans: Work directly with APIs from Google, facebook, Microsoft, and more.
* Be part of a rapidly scaling company poised for the future.
* Learning and growth opportunities within a fast-paced SaaS startup environment
* Clear career advancement path for strong performers
* As a part of our team, your success in this role is crucial to our company's growth. We are committed to supporting you in achieving your KPIs and goals and providing regular feedback to help you reach your full potential. Together, we can make a real impact and achieve great things!
* And how can we forget? Cibus and lots of yummy kitchen treats:-) In the meantime, you can get to know us a little better by checking out  on instagram facebook LinkedIn Are you the one? Send your resume to us

We're looking for a Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

Req ID: 29223

As a Machine Learning Scientist, you will design, build, and deploy advanced models that guide pricing and promotional optimization across our company. You will work closely with other scientists, engineers, analysts, and product teams to translate complex business challenges into scalable, data-driven solutions that deliver measurable impact.

Key Job Responsibilities and Duties:

Develop and deploy models for causal inference, uplift estimation, and optimization to measure and maximize the incremental effect of price and promotion decisions.

Design and improve dynamic pricing algorithms that balance competitiveness, conversion, and profitability.

Contribute to the development of platform capabilities, enhancing experimentation, simulation, and decision-support capabilities.

Partner with product and business stakeholders to translate scientific insights into actionable strategies.

Stay up to date with the latest advances in machine learning, causal modeling, and pricing optimization, and apply them pragmatically at scale.