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We are looking for an experienced A Computer Vision Team Leader who will join our algo group and lead a team of two talented senior algo engineers.
In this role, you will lead the development of new products from concept to production while creating diverse algorithms based on computer vision and deep learning.
A day in the life and how youll make an impact:
Lead a team of algorithm Computer Vision engineers developing novel and efficient algorithms from concept to production
Development using 3D reconstruction, stereo, geometry, and SLAM
Combine the proper algorithm method to the problem - computer vision & deep learning respectively.
Evaluate and benchmark different algorithms on unique proprietary datasets.
Collaborate with team members to define future technology and features.
Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development

We are looking for a DevOps Engineer to join our DevOps R&D team.
In this position, you will be responsible for integrating developers and operations teams to improve collaboration and productivity by automating infrastructure, automating workflows, and continuously measuring application performance.
A day in the life and how youll make an impact:
Establish, maintain, and evolve concepts in continuous integration and deployment (CI/CD) pipelines for existing and new services.
Collaborate with Engineering and Operations teams to improve automation of workflows, infrastructure, code testing, and deployment of on-premise and cloud services.
Remain up-to-date on industry trends, share knowledge among teams, and abide by industry best practices for configuration management and automation.
Implement effective monitoring and increase the sophistication of our alerting and escalation mechanisms
Identify and resolve performance and scalability issues in products and infrastructure.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

We seek an Embedded Software Engineer to join our R&D team.
As our Embedded Engineer, you will work closely with hardware engineers to create efficient, reliable, and scalable embedded solutions for various applications.
A day in the life and how youll make an impact:
Design, develop, and test firmware for microcontrollers and embedded systems.
Collaborate with hardware engineers to ensure seamless integration between software and hardware components.
Debug and troubleshoot embedded systems using oscilloscopes, logic analyzers, and other debugging tools.
Develop and maintain technical documentation, including software architecture and design specifications.
Implement communication protocols such as SPI, I2C, UART, Ethernet

We seek a talented Full Stack Team Leader to lead a team of skilled developers focused on building scalable, cloud-based solutions in a microservices architecture. As our team leader youll be hands-on with code while also shaping the technical vision, mentoring engineers, and working closely with product and design to deliver impactful features from concept to production.
A day in the life and how youll make an impact:
Lead and mentor a team of Full Stack Engineers in a fast-paced R&D environment
Design and develop scalable, secure, and user-friendly web and mobile applications
Oversee the architecture and implementation of microservices, cloud functions, and API integrations
Partner with cross-functional teams to understand product needs and translate them into technical solutions
Guide architectural decisions involving event sourcing and multi-tenancy frameworks

We seek an experienced Machine Learning Software Engineer to join our ML Team.
In this role, you will develop efficient and scalable code to create and operate ML systems for our production and Infra environments
A day in the life and how youll make an impact:
Productization of algorithms - Optimized for large scale algo serving.
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
Continuously explore ways to improve our code and ML Infrastructure
Collaborate with team members to define future technology and features.

We seek an experienced technical leader to head our MLOps team.
In this role, you will lead a team of developers and build and maintain our machine learning infrastructure and deployment pipelines. This role combines technical expertise in machine learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.
A day in the life and how youll make an impact:
Build, recruit, and lead a team of MLOps engineers.
Architect and implement enterprise-scale MLOps infrastructure
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
Design and optimize model-serving architectures
Ensure high availability and scalability of ML systems
Collaborate with Algorithm Engineers to deliver innovative solutions.
Partner with product teams to align ML solutions with business objectives
Communicate technical plans and progress to stakeholders
Establish and enforce MLOps standards and best practices

We are seeking a highly motivated Automation Engineer to join our R&D QA team and lead all automation development.
A day in the life and how youll make an impact:
Design, develop, and execute automated tests to ensure the quality of our vehicle inspection systems.
Create and own end-to-end test plans, test cases, and test scripts for web, mobile applications and cloud-based algorithms.
Develop and maintain end-points tests automation processes.
Maintain and improve the automation framework to enhance test coverage and efficiency.
Lead cross-team technical discussions on automation strategies, tools, and best practices.
Collaborate with the development team to identify and resolve issues early in the development cycle.

We are seeking a highly motivated and skilled Release Engineer to join our AIOps group.
In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how youll make an impact:
Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

We are looking for an experienced Senior Data Engineer to join our Data team.
In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
Design and develop high-performance data pipelines and ETL processes to support diverse business needs.
Work closely with business intelligence, sales, and other teams to integrate data solutions, ensuring seamless alignment and collaboration across functions.
Continuously improve our data analytics platforms, optimizing system performance while ensuring a robust and reliable data infrastructure.
Oversee the entire data lifecycle, from infrastructure setup and data acquisition to detailed analysis and automated reporting, driving business growth through data-driven insights.
Implement robust data quality checks, monitoring mechanisms, and data governance policies to maintain data integrity and security, troubleshooting and resolving any data-related issues efficiently.

We are seeking a highly motivated Senior Diffusion Model Researcher to lead cutting-edge research in generative models with a focus on image and video diffusion. The ideal candidate combines deep theoretical understanding with strong practical experience in training and deploying large-scale generative models.
A day in the life and how youll make an impact:
Conduct state-of-the-art research on generative models, with an emphasis on diffusion techniques for image and video synthesis.
Design, implement, and evaluate novel architectures and training methodologies for scalable diffusion models.
Collaborate with cross-functional teams (engineering, product, design) to transition research into production-grade systems.
Publish results in top-tier conferences (e.g., NeurIPS, CVPR, ICCV, ICML) and contribute to open-source initiatives.
Stay up to date with the latest advancements in generative modeling and identify promising research directions.
Mentor junior researchers and help shape the AI research roadmap.

We seek a Senior Full-Stack Engineer to join our R&D web team.
In this role, you'll work alongside top-tier developers to design, build, and deliver scalable, cloud-based solutions that power our core products. Youll be deeply involved in all stages of development from ideation to deployment
A day in the life and how youll make an impact:
Creating and owning end-to-end features for various web projects, leveraging microservice architecture, cloud functions, and API services
Maintaining and improving code quality and stability, with a focus on multi-tenancy security and user management systems
Leading cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing
Leading and accompanying new products and features from prototype to production, utilizing mono repo architecture and event-sourcing principles
Working closely with customers to gather insights on how to improve the product
Participating in the design and development of cloud-based systems, using GCP cloud functions and Firebase
Ensuring the implementation of robust DRP data recovery systems and pain testing
Developing and maintaining multiple UI applications, using the latest Angular version (19), Flutter, Material Design, and Bootstrap

We are looking for a Senior QA Engineer to join our QA R&D team and become an expert in UVeyes products, ensuring they meet all system requirements and specifications.
A day in the life and how youll make an impact:
Become a key member of the UVeye QA team, gaining deep expertise in our products.
Lead end-to-end testing for new features and software releases, from Test Plan definition to release execution and post-release monitoring.
Collaborate with R&D teams (Software & Algorithm) to deliver high-quality features that meet customer expectations.
Contribute to the design, testing, and execution of automated testing capabilities.
Participate in Agile development processes using Jira, including daily stand-ups, planning, demos, and retrospectives.

The System Engineer will join our growing system engineering group to support and lead the design, characterization, implementation, integration, and sustained engineering of our multidisciplinary, world-first autonomous robotic Bee-hive.
Roles and responsibilities:
Lead the project R&D development, defining system architecture, system processes, and engineering trade-offs, involving knowledge in mechanics, control systems, electronics, embedded software, cloud computing, and computer vision.
Define the engineering system requirements and support the implementation, integration, and testing phases.
Managing cross-functional team work.
Lead the sustained engineering of the bee-home from all aspects in the field and production line.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Riversides technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.

About the data Team Riversides data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.

On your day to day In our day-to-day work, we design and maintain reliable data pipelines using Python and modern orchestration frameworks to move and transform raw data from a variety of sources. This includes working with APIs, event streams, and databases to ingest and process data at scale. We implement and maintain models, manage complex data transformations, and collaborate closely with other teams to ensure that the right data is available at the right time. Whether we're tuning a performance, debugging a transformation step, or shipping an AI-driven feature, every day is a chance to build something impactful.