Senior Staff Machine Learning Engineer for AI Applications

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated into a variety of vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has autonomously driven more than 100 million miles on public roads, complemented by tens of billions of miles in simulation across more than 15 U.S. states.The Waymo Compliance and Readiness team plays a crucial role in ensuring safe and enjoyable experiences for all riders. In this position, you will collaborate closely with the Operations team to identify and mitigate issues such as lost items or passengers being seated incorrectly, leveraging advanced data pipelines and machine learning models.We are seeking a Staff / Lead Software Engineer with expertise in backend development and experience in building machine learning data pipelines. In this hybrid role, you will report to an Engineering Manager.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service, with the capability to be adapted across various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, complemented by extensive simulation across 15+ U.S. states, we are redefining transportation.The Waymo Car Experience team is tasked with delivering safe and enjoyable experiences for all riders. As a Senior Software Engineer, you will collaborate closely with the Operations team to identify and mitigate challenges such as lost items and incorrect passenger seating using data-driven insights and machine learning models.

Join Our Team as a Machine Learning EngineerRTB House is a pioneering global leader in marketing technology, renowned for delivering cutting-edge advertising solutions to prestigious brands and agencies across the globe. Our proprietary ad-buying engine, the first in the world to be solely powered by Deep Learning algorithms, empowers advertisers to achieve exceptional results and meet their goals at every stage of the marketing funnel.Established in 2012, RTB House operates in over 90 markets and thrives on a foundation of privacy and innovation, utilizing first-party data to craft impactful advertising experiences. Our suite of Deep Learning-driven AdTech products and solutions is designed to maximize conversions, enhance customer acquisition, foster engagement, and sustain long-term demand for our diverse clientele.

Join Our Team as a Senior Machine Learning Engineer (Computer Vision)At Scandit, we empower people with technology that enhances their capabilities. From expediting deliveries for drivers to ensuring patients receive the correct medications, our innovative solutions streamline operations and provide valuable insights across various industries. We invite you to be part of our journey as we continue to grow, innovate, and elevate Scandit to new heights.Role OverviewWe are seeking a talented Senior Machine Learning Engineer to join our Label Capture team. In this role, you will focus on developing digital twins for complex labels and identification documents. You will enhance our existing product by integrating new functionalities and optimizing current features. Your work will involve applying computer vision and deep learning techniques to advance the extraction of information from printed documents beyond the current state of the art.If you find these challenges appealing, we would love to meet you!Key ResponsibilitiesLead the development of semantic document parsing solutions tailored to customer scenarios.Engage in all stages of quality improvement, including metrics definition, prototyping, testing, model integration, new model creation, data collection, analysis, and debugging.Stay informed on the latest advancements in document classification, text recognition, and information extraction.Define strategic directions and identify opportunities to enhance recognition capabilities.Mentor team members on best practices in code quality and engineering.Who You AreYou are an experienced ML engineer passionate about building, deploying, and refining machine learning systems. With a solid track record of delivering high-performance computer vision solutions both on-device and in the cloud, you have firsthand experience in guiding projects from prototype to production.You understand that software development blends technology with human interaction, and you are comfortable working independently or collaboratively. While you keep abreast of cutting-edge developments in CV/ML, you appreciate proven technologies and incremental improvements. You are innovative and committed to addressing real-world issues through creative solutions, taking ownership, and effectively navigating challenges. Attention to detail is your strength, yet you are also adept at finding pragmatic shortcuts to achieve goals.We are particularly excited to connect with you if you meet the following criteria:Over 5 years of industry experience in tackling recognition challenges, with a successful history of launching products.

Lead and execute software engineering initiatives to facilitate end-to-end machine learning operations, emphasizing the scaling of workflows for extensive datasets and distributed systems.Architect, develop, and sustain MLOps infrastructures, including microservices, queuing systems, APIs, and orchestration workflows utilizing Python, Kubernetes, Kafka, and advanced database technologies.Deploy observability tools such as Prometheus and Grafana to guarantee the reliability, performance, and visibility of machine learning systems in a production environment.Work collaboratively with data scientists and machine learning engineers to optimize workflows for large language models, generative AI, and intelligent agent development and deployment.Evaluate architecture and implementation strategies to ensure alignment with organizational objectives, scalability, and adherence to best practices.Guide and mentor junior and mid-level engineers, promoting a culture of collaboration, innovation, and operational excellence.

About the RoleJoin Logz.io as a Backend Software Engineer and be part of a dynamic team that is reshaping the observability landscape. In this role, you will design and develop robust backend systems that scale effectively, ensuring seamless integration and exceptional performance.Key ResponsibilitiesDevelop and maintain scalable backend services and APIs.Collaborate with cross-functional teams to define, design, and ship new features.Troubleshoot and optimize existing systems for performance and scalability.Participate in code reviews and contribute to team knowledge sharing.

Location: Poland About Us: RTB House is a pioneering global technology company, recognized for delivering cutting-edge marketing solutions to premier brands and agencies worldwide. Our proprietary ad-buying engine stands out as the world’s first to harness the full potential of Deep Learning algorithms, empowering advertisers to achieve exceptional outcomes and reach their objectives at every stage of the customer journey. As a Machine Learning Researcher, you will play a crucial role in advancing this innovative technology. Established in 2012, RTB House operates in over 90 markets, maintaining a private-by-design ethos. We emphasize first-party advertising and a steadfast commitment to innovation. Our comprehensive suite of Deep Learning-powered AdTech products and solutions is designed to maximize conversions, enhance customer acquisition, foster engagement, and stimulate sustained demand for our diverse global clientele. Your Responsibilities: Design and implement models, predominantly deep neural networks, aimed at predicting user behavior and preferences online. Analyze the latest advancements in the Machine Learning domain. Conduct and interpret A/B tests for new methodologies. Develop and assess innovative strategies for modeling critical challenges, including bidding in first-price auctions. Desired Qualifications: Minimum of 4 years of practical experience in Machine Learning or Data Science. A strong interest and commitment to continuous professional development in the Machine Learning field. Solid understanding of statistics and probability. Proficient programming skills. Preferred Technologies: Python, Java, Scala PyTorch, NumPy, Pandas Jupyter Notebooks Additional Advantages: Experience within the ML industry. Background in designing recommendation systems. Hands-on knowledge of our utilized tools. Exploratory Topics: Implementation and evaluation of advanced model architectures, such as convolutional networks and transformers. Assessing discrepancies between training and production data distributions, problem scale estimation, solution identification, analysis, implementation, and deployment. Experiments utilizing transfer learning techniques. ...

Join our dynamic ML Platform team at Bolt as a Senior ML Platform Engineer, where you will play a pivotal role in designing, developing, and optimizing our AI Infrastructure. This infrastructure powers Bolt's intelligent services, making machine learning and artificial intelligence easier to implement at scale.We are a rapidly growing tech company with over 200 million customers across more than 50 countries. Our mission is to create cities that prioritize people over cars, and we believe an inclusive environment is key to achieving this goal. We welcome applicants from all backgrounds and walks of life.

Waymo is pioneering the future of mobility with its cutting-edge autonomous driving technology. Established in 2009 as the Google Self-Driving Car Project, our mission is to become the world’s most trusted driver. Our flagship product, the Waymo Driver—The World’s Most Experienced Driver™—aims to revolutionize access to transportation while drastically reducing road traffic fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is compatible with various vehicle platforms and applications. With over ten million rider-only trips completed and vast experience from driving over 100 million miles on public roads and extensive simulations across more than 15 U.S. states, we are leading the way in safety and efficiency.The RO Performance team plays a pivotal role in enhancing Waymo's self-driving technology. We are responsible for developing and maintaining the crucial infrastructure needed to process and analyze vast amounts of data from real-world driving logs and simulations.Our systems create essential metrics and dashboards that are vital for monitoring product performance, pinpointing areas for enhancement, and facilitating data-driven decision-making. The insights generated by our team directly impact Waymo's operational strategies, weekly performance evaluations, and, ultimately, the safety and reliability of our autonomous vehicles.In this hybrid role, you will report directly to a Staff Software Engineer.

Join Hostinger as a Backend Software Engineer specializing in Node.js in a fully remote position! In this role, you will be responsible for developing high-performance backend solutions that support our web applications and services. Collaborate with a dynamic team of developers and contribute to exciting projects that empower our users around the globe.

Teltonika Networks is looking for a Junior Backend Software Engineer to join the team in Warsaw, Masovian Voivodeship, Poland. The company develops networking equipment for industrial and enterprise use, including routers, switches, gateways, and modems. Teltonika’s technology supports clients in sectors such as Industry 4.0, Smart City, and Green Energy. For more details on their products, visit Teltonika Products. Role overview This position involves hands-on work with embedded Linux software and API frameworks for IoT devices. The team is international and values collaboration to solve technical challenges. The role is well suited to early-career engineers who want to deepen their technical skills while working on real-world projects. Main responsibilities Design, implement, and maintain embedded Linux software for IoT hardware. Develop and support an API framework used by multiple R&D teams. Analyze and integrate new technologies into existing systems. Collaborate with colleagues from different countries to address complex problems. Requirements At least 1 year of experience programming in C. Minimum 1 year working with APIs. Proficient in Shell and Python scripting. Familiarity with Git version control. Experience working with Linux-based systems. Strong English communication skills, both written and spoken. Preferred qualifications Technical degree in a relevant field. Understanding of computer networking concepts. Experience with Lua programming. Knowledge of OpenWrt. Benefits Opportunities for growth within a growing company. Work on ambitious projects focused on industrial networking devices. Private medical care (Medicover Premium) and Multisport card. Hybrid work model with flexible arrangements. Extra day off for your birthday. Team-building activities to support collaboration.

At Veeam Software, we pride ourselves on being the experts in Data and AI Trust, dedicated to empowering organizations to fully understand, secure, and ensure the resilience of their data and AI systems. Recognized as the market leader in data resilience and security posture management, we are perfectly positioned to navigate the convergence of identity, data, security, and AI risk. With our headquarters in Seattle and a presence in over 30 countries, we protect the operations of more than 550,000 customers globally, who rely on us to keep their businesses running smoothly. Embark on this exciting journey with us as we continue to innovate, learn, and create significant impacts for some of the world’s largest brands.About the RoleJoin us as we lead the charge in Kubernetes Backup and Disaster Recovery. Our Veeam Kasten platform is specifically designed for Kubernetes data management, providing enterprise operations teams with a seamless, scalable, and secure solution for backup, restore, disaster recovery, and application mobility. With our commitment to continuous optimization and enhancement, we are integrating our tools with SaaS services and expanding support for virtual machines hosted in Kubernetes, ensuring that we meet the evolving needs of our customers.

Join Asana, a leading work management platform known for its innovative ecosystem that includes a diverse array of powerful applications. These applications enhance collaboration and seamlessly integrate into our users' workflows, establishing Asana as the preferred solution across various domains and departments. The Functional Integrations team within the Platform Area is pivotal in linking Asana with essential function-specific tools (think Operations, Marketing, or IT), enabling experts in those fields to efficiently share and communicate their contributions across the organization.As a Staff Software Engineer at Asana, you will be instrumental in guiding the team's execution, nurturing a strong technical culture, and shaping the long-term engineering strategy. You will tackle complex projects, oversee the efforts of multiple individual contributors, collaborate with cross-functional teams, and mentor fellow engineers in technical design and project leadership.This position is based in our Warsaw office with a hybrid working model where the standard in-office days are Monday, Tuesday, and Thursday. Most Asana employees have the flexibility to work from home on Wednesdays, while Fridays may also allow for remote work depending on your role and team collaboration needs. Your recruiter will provide specific details regarding in-office requirements during the interview process.

JetBrains is seeking a Senior Machine Learning Researcher to focus on Spectrum. This position centers on applying machine learning expertise to improve product features and contribute to ongoing research efforts. Role overview This role involves working with a team dedicated to advancing the capabilities of Spectrum. The Senior Machine Learning Researcher will use their knowledge to influence product direction and participate in research projects that drive innovation. Key responsibilities Apply machine learning methods to enhance Spectrum's technology. Contribute to research initiatives that inform future product development. Share insights and provide leadership within the research team. Locations This position is available in Amsterdam, Belgrade, Berlin, Limassol, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.

Join Box – The Future of Content ManagementBox, Inc. (NYSE:BOX) stands as the leader in Intelligent Content Management. Our innovative platform empowers organizations to enhance collaboration, manage the entire content lifecycle, secure vital documents, and transform business workflows through enterprise AI. Established in 2005, we simplify operations for renowned global organizations, including JLL, Morgan Stanley, and Nationwide. With our headquarters in Redwood City, CA, and offices worldwide, Box is at the forefront of the AI-first business era.At Box, you will play a pivotal role in advancing our platform. In a landscape where content drives daily operations across teams and departments—ranging from contracts to marketing assets—our mission is to infuse intelligence into content management, enabling customers to revolutionize workflows across their enterprises. As we harness the power of AI alongside enterprise content, we present an unmatched opportunity to reshape collaboration globally. Be a part of this significant transformation at Box!Why We Need YouThe Content Capabilities team is a newly established group with the ambitious vision of propelling the Box Content Cloud into its next wave of growth. We are dedicated to developing innovative platform capabilities that empower our product teams and customers to create unique, scalable experiences for millions of users. As we launch our first set of features, unlocking new use cases and significantly enhancing user collaboration on content, we invite a skilled Backend Software Engineer to join our team. You will have the opportunity to collaborate with a talented group of professionals, contributing to our roadmap of new capabilities and shaping the future of content management.

Please note that this opportunity requires relocation to our Milan office.About SatispayAt Satispay, we are on a mission to revolutionize everyday payments, making them simple, equitable, and accessible to everyone. Our vision is to shape the future of money, and we are just getting started. Join our movement that empowers millions, driven by a shared purpose to tackle significant challenges. We thrive on speed, bold thinking, and mutual trust, encouraging each other to challenge the status quo while learning and growing together.If you seek more than just another job and wish to create something impactful alongside a talented team, you’ve come to the right place.Your ResponsibilitiesAs a Senior Backend Software Engineer in the Business Team, you will play a pivotal role in shaping the future of digital welfare payments, managing everything from employer benefits to complex products. You will oversee the end-to-end experience for both employers and employees, ensuring long-term satisfaction. Your responsibilities will include:Drive Multi-Service Solutions: Conduct technical analysis for medium-to-large projects impacting multiple employer domain services. Design highly-available, scalable, secure, and maintainable solutions at the core of welfare offerings.Ensure Technical Quality: Implement robust testing strategies, balancing automation and manual coverage, while monitoring gradual rollouts to ensure precise and reliable welfare distributions.Resolve and Anticipate Blockers: Proactively identify and resolve technical obstacles, fostering knowledge sharing across your organization. Address unique challenges in B2B registration flows and high-volume benefit allocations while ensuring code quality through active reviews.Execution and Ownership: Take full ownership of your projects from inception to completion, delivering features that genuinely meet user needs—from employer signup to the first employee spending their welfare benefits—through seamless and efficient backend integration.

Location: Poland About Us: RTB House is an innovative global leader in marketing technology, dedicated to developing cutting-edge solutions for esteemed brands and agencies around the globe. Our unique ad-buying engine, driven entirely by advanced Deep Learning algorithms, empowers advertisers to achieve remarkable results and meet their objectives across all stages of the marketing funnel. Since our inception in 2012, we have expanded our operations to over 90 markets while maintaining a steadfast commitment to first-party advertising and continuous innovation. RTB House provides comprehensive, Deep Learning-powered AdTech products and solutions designed to enhance conversion rates, drive customer acquisition, foster engagement, and stimulate long-term demand for a diverse clientele worldwide. Your Role: We are seeking a Senior Software Engineer to join our team in designing, developing, and fine-tuning high-performance backend systems that facilitate real-time bidding (RTB) and machine learning at scale. You will be instrumental in creating software that manages billions of daily transactions, ensuring adherence to stringent latency and reliability requirements within a distributed, low-latency environment.

About Aurora Solar Aurora Solar builds software that helps solar professionals design and install solar systems for homes and businesses. The platform combines data and technology to simplify the solar adoption process. Aurora’s tools have supported the design of millions of solar projects, making it easier for companies to sell, plan, and complete installations efficiently. The company has been named one of 'The Best Remote Companies to Work for in 2025' by BuiltIn.com and holds Certified Green Business (CGB) status from the city of San Francisco. Aurora Solar is committed to advancing the global shift toward solar energy. Team Overview The Install Ready Design team develops automation and compliance solutions for solar design. This group manages a platform that produces construction-ready plans for residential photovoltaic (PV) and storage systems, ensuring every design meets industry codes, standards, and manufacturer requirements. Team members work in a collaborative, respectful setting that values growth and encourages new ideas. Role Overview This hybrid Software Engineer role is based in Warsaw, Poland. The position focuses on building backend systems that support the next generation of solar installations. Engineers on this team address complex technical challenges and create reliable tools that shape how solar projects are designed and delivered. Key Responsibilities Develop and launch new features to boost platform performance and accuracy. Work with partners across the solar industry to streamline project workflows. Grow the capabilities of Aurora’s solar design platform. Help build new products that change how solar systems are designed and deployed. Take operational responsibility for team-owned services, including participating in an on-call rotation.

We are seeking a talented and motivated Staff Software Engineer specializing in React Native to join our dynamic team at Box, Inc. In this role, you will be instrumental in developing innovative mobile applications that enhance user experience and drive engagement.Your responsibilities will include collaborating with cross-functional teams to define and design new features, maintaining existing applications, and ensuring code quality through best practices and testing.