we are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities:
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

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.

Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
About the Role We are looking for a talented Software Engineer to join Appdome's Identity Group. You will take part in building advanced fraud detection capabilities, working closely with security researchers and data teams to develop cutting-edge solutions that protect hundreds of millions of mobile devices.
Responsibilities
* Design and develop core components of fraud detection systems from early prototyping through production-ready releases.
* Build scalable backend services and distributed systems that process data at scale.
* Work with large-scale datasets and collaborate with data teams to create actionable signals and features.
* Write high-performance, production-quality code in C and C++ optimized for reliability and performance.
* Take ideas from rapid proof-of-concept through to production, tackling complex engineering challenges across the full development lifecycle.

We are looking for an experienced Senior System Integration Engineer to join our team.

The role involves planning and executing system integration activities across multiple subsystems, from development through production. You will work with complex systems combining software, computing, IP networks, communications, RF, navigation & control, algorithms, and computer vision.

Responsibilities
System operation and troubleshooting, planning and executing integration processes, writing integration test specifications, preparing performance validation tests, and analyzing system behavior and performance.

Do you thrive on solving complex problems and want to make a real impact?
we are looking for a Backend Java engineer responsible for managing the interchange of data between the server and the users. In this senior role, you will play a pivotal role in our optimization engine, driving the core routing intelligence of our platform.
If you like a good challenge and are looking for a place to grow professionally, we are the place for you! Join the amazing process of developing a robust and scalable solution for the last mile and on-demand world.
Responsibilities
Optimization Engine Leader: Serve as a central pillar for our optimization engine, collaborating closely with the product team to shape the journey from client requirements to server-side reality.
Architecture Ownership: Lead and maneuver the optimization engine architecture to ensure maximum efficiency and scalability.
Complex Problem Solving: Solve complex puzzles by investigating discrepancies between system design and real-world results, proving hypotheses, and taking actionable steps to resolve them.
Backend Development: Define and maintain the server end-to-end flow, develop server-side logic, and ensure high performance, scalability, maintainability, and responsiveness to frontend requests.

We are looking for a passionate and experienced Software Engineer to join our Networking Group.
In this role, you will play a key part in developing our cloud-based, proprietary networking and security management solutions.
You will also design and implement highly scalable processes for gathering and analyzing real-time network statistics, events, and large-scale data.

Responsibilities:
End-to-end backend development: from processing large-scale data to designing efficient microservices.
Develop and enhance high-performance, scalable services.
Improve the reliability, security, and scalability of existing infrastructure.
Work closely with cross-functional teams including Product, Data, Security, and UX.
Research and adopt new technologies to improve our products.

Required Senior Software Engineer, Cloud Filestore
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Filestore provides a fully managed Network File System (NFS) service for Enterprise Cloud users who need file storage to replace their on-premise hardware when they move to the Cloud.
This is an amazing opportunity to join and impact an early-stage, hi-growth project that builds from the grounds-up a new infrastructure for Cloud Filestore - a shared, distributed, enterprise-level filesystem.
Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Define, design and implement key components, built from the ground-up, for the next-gen of Filestore focusing on performance, reliability, efficiency and resilience.
Help grow and mentor the team, be a part of a well-experienced group and impact the critical architecture and design decisions.
Work with peers from other aspects of the product development lifecycle, including all filesystem engineering teams, product management, program management, SRE, UX/UI.
Work with product and customers, to best fit future requirements.
Develop software primarily in C++.

Required Software Engineer III, Infrastructure
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

we are looking for a Backend Engineer.
The Backend Engineer - Mid level (Data Team) builds the systems that discover, understand, and govern customer data at petabyte scale. We turn raw enterprise data into the security signal the rest of the platform builds on, working on problems like distributed systems running inside customer clouds, analytics over large data lakes, and detection logic that has to be both precise and fast. Youll work end-to-end and ship features that every customer uses.
Responsibilities:
Designing and implementing core components within the classification and policy stack, including microservices, ETLs, and shared libraries
Owning features end-to-end: design, implementation, rollout, testing, monitoring, and production operation
Conducting design and code reviews with the team and across R&D
Driving scale, performance, and cost optimizations against multi-tenant data-lake workloads
Partnering with AI/ML, Research, Product, and Frontend to ship cross-functional initiatives

As a software developer in this role, you will have the opportunity to design and deliver the development of engaging features for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, youll learn a lot, have fun and make a positive impact on millions of people.

We are looking for a talented Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of leading and delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to take ownership, be proficient technically, mentor and grow junior developers, encourage software development best practices, and iterate quickly.

Key job responsibilities
- Design, build, test, and operate features for the Interests experience across web and mobile surfaces.
- Deliver end-to-end solutions with focus on maintainability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Understand latest trends in mobile technology and work across Amazon mobile teams.
- Build AI-powered experiences including personalized updates, relevance explanations, and contextual recommendations.
- Implement analytics events and experiment configurations to measure engagement and retention.
- Relish the idea of solving problems and be comfortable with a degree of ambiguity thats higher than most projects.