We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
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 you’ll 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 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're looking for a talented Backend Engineer to join our algo & ML team. You'll play a pivotal role in enhancing the search experience for 10s of millions of users worldwide, designing and implementing advanced algorithms that make our platform more intuitive and effective.



What am I going to do?
Develop and optimize the core retrieval systems that form the backbone of our search architecture, focusing on enhancing the recall and precision of search results.
Utilize technologies like Elasticsearch, Lucene, Vespa, and machine learning models to build scalable search retrieval systems solutions that form the primary source for our search platform.
Work closely with data scientists, product managers, and fellow engineers to integrate machine learning models and algorithms.
Use search metrics such as nDCG, MRR, and user behavior analysis to pinpoint improvements, and conduct rigorous A/B testing and online experiments to validate changes and assess their impact.
Address complex business challenges related to retrieval by breaking them down into manageable components, conducting in-depth research, and pioneering innovative features for search retrieval.

Were looking for a Product Manager to lead LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.

As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.

Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.

What am I going to do?
Define the product vision and roadmap for LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning.
Structure from conversational and behavioral data.
Drive adoption of LLM capabilities across by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Algo Deep Learning team leader with proven capabilities to lead the development of new products from concept to production. In this role, you will be leading a highly talented team, 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/ DL +CV engineers developing novel and efficient vision and deep learning algorithms from concept to production
* 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 Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

We're looking for a talented Backend Engineer to join our algo & ML team. You'll play a pivotal role in enhancing the search experience for 10s of millions of users worldwide, designing and implementing advanced algorithms that make our platform more intuitive and effective.


What am I going to do?:

* Develop and optimize the core retrieval systems that form the backbone of our search architecture, focusing on enhancing the recall and precision of search results.
* Utilize technologies like Elasticsearch, Lucene, Vespa, and machine learning models to build scalable search retrieval systems solutions that form the primary source for our search platform.
* Work closely with data scientists, product managers, and fellow engineers to integrate machine learning models and algorithms.
* Use search metrics such as nDCG, MRR, and user behavior analysis to pinpoint improvements, and conduct rigorous A/B testing and online experiments to validate changes and assess their impact.
* Address complex business challenges related to retrieval by breaking them down into manageable components, conducting in-depth research, and pioneering innovative features for search retrieval.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are building our next-generation, cloud-based data pipeline and are looking for a strong backend software engineer. This engineer should be excited about building systems from scratch, love to take an active role, and be able to quickly dive into complex, large-scale environments and lead them.

By joining this team, you will, among other products, help develop the following products:

Network Discovery: A product that delivers full visibility into every device on a corporate network. Customers can manage any asset, including those not yet protected or supported by us, thanks to machine learning that automatically identifies all IoT devices.
Vulnerability Management: A platform module that enables customers to analyze and prioritize the vulnerabilities detected by our cybersecurity solutions on their endpoints.

What will you Do?
Own features end-to-end - Join a cross-disciplinary squad of backend and frontend engineers working alongside Windows, Linux, and macOS endpoint specialists - taking ideas from whiteboard to production.
Build customer-facing security insights - Design, implement, test, and deploy backend services that turn raw cybersecurity events into clear, actionable information.
Shape our platforms architecture - Lead the design of new modules across several strategic product lines, choosing patterns and technologies for scale, reliability, and performance.
See your impact - Your work directly improves how customers understand risk and respond, making it a visible part of key company initiatives.

We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering.
This is a unique opportunity to work with US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will:
Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications.
Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other teams and team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.