Machine Learning Engineer

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.

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.

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.

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.

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.

Bolt is looking for a Senior Staff Machine Learning Engineer for AI Applications to join the Customer Support Product team in Warsaw, Poland. This position centers on improving the quality and effectiveness of AI automation within customer support. Role overview This engineer will play a central role in shaping how Bolt evaluates and integrates large language model (LLM)-based systems. The work involves driving improvements in knowledge quality and retrieval, and building feedback processes that strengthen automated support solutions. What you will do Lead initiatives to assess and align LLM-based AI systems for customer support. Enhance the quality and accessibility of knowledge used by automation tools. Develop and refine feedback loops to support continuous improvement in AI-driven support automation. Who this role suits This position is well suited for those with a strong background in applied machine learning, knowledge systems, and a focus on real-world AI product enhancements.

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. ...

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.

Join Our Team:Planner 5D is a premier global platform for home design, connecting over 100 million users across 230 territories worldwide. Our innovative software simplifies the home renovation journey from initial concept to final execution, making it accessible for everyone, regardless of their design experience. We empower individuals to transform their living spaces into their dream homes with ease.Our technology is available on various platforms including Web, iOS, Android, Windows, and MacOS, ensuring seamless user experience and synchronization.At Planner 5D, we foster a vibrant community of passionate professionals from diverse backgrounds, collaborating across time zones to revolutionize the home design industry. We are continuously seeking innovative talents who are eager to take initiative and contribute to our expanding toolset. Join us in shaping the future of home design.We are currently on the lookout for an AI / Machine Learning Researcher to join our AI team. The role involves applied research aimed at addressing real-world product challenges. You will engage with raw data, investigate novel methodologies, formulate and test hypotheses, and create prototypes and MVP solutions that could evolve into production features on the Planner 5D platform.

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.

Join hyperexponential (hx) as an AI EngineerAt hyperexponential, we are revolutionizing the insurance industry with our cutting-edge AI-powered platform that facilitates critical decision-making within a $7 trillion sector. Our technology is instrumental in determining which risks to take and how to price them, influencing vital outcomes such as successful space launches, the market readiness of autonomous vehicles, and the recovery of communities post-disaster.Insurance has long relied on antiquated methods for making billion-dollar decisions. We are changing this narrative by integrating data, AI, and human insight, enabling insurers to streamline their processes from submission to decision. Our platform empowers them to act swiftly, make informed choices, and embrace risk with greater assurance.Supported by renowned investors like a16z, Highland Europe, and Battery Ventures, we are expanding our global footprint. Currently, we serve nearly 50 of the largest insurance companies worldwide, maintaining zero churn and facilitating billions in premiums through hx.What started as a singular offering has swiftly transitioned into a multi-product, multi-territory solution that supports all phases of pricing and underwriting. AI is at the heart of our operations, from crafting the first domain-specific AI peer programmer for insurance to creating innovative workflows that redefine industry standards.At hx, we pride ourselves on our people. Here, the impact is determined by the challenges tackled and the dedication shown, rather than titles or tenure. In a collaborative environment that encourages growth, you will engage in meaningful work that challenges you to excel.If you resonate with this mission, we invite you to join us in shaping the future of insurance.About the hxAI TeamAI is integral to our software development and decision-making processes at hx. From large-scale document intelligence to specialized AI peer programming utilized by actuaries and underwriters, hx is pioneering the application of generative AI in the insurance sector.Our AI Platform team is essential to this endeavor, designing, building, and managing the systems that enable safe, scalable AI training, deployment, evaluation, and monitoring. This includes model serving, data pipelines, observability, automation of deployments, and orchestration of computing resources.Collaborating closely with product and research teams, we transform rapid experimentation into reliable, cost-effective, and developer-friendly production systems. Our success metrics include expedited releases, enhanced model performance in real-world applications, and AI solutions that our clients can rely on for critical decision-making.

As an AI Engineer on the Enterprise AI team at Asana, Inc., help shape how artificial intelligence supports and automates internal operations. This recently formed team works closely together to design and build scalable AI workflows that influence Asana’s go-to-market processes. Collaboration with both business and engineering teams is central to this role, and maintaining open feedback channels with users ensures solutions meet real needs. The work centers on automating complex business logic and advancing Asana’s vision of an Agentic Enterprise. Work location and schedule This position is based in Warsaw and follows a hybrid work model. Team members are onsite in the office on Monday, Tuesday, and Thursday. Most people work from home on Wednesdays. Friday’s work location may vary depending on project needs. The recruiter can provide more details about this arrangement. Employment details Asana offers a Contract of Employment (UoP) to employees in Poland.

Join our dynamic team as a Junior Data Engineer, where you will play a critical role in enhancing modern, real-time data processing capabilities. You will assist in transitioning existing data and ML workflows from batch processing to scalable streaming solutions. This position involves hands-on engineering, close collaboration with Data Scientists, and operational oversight for production data pipelines.Technology EnvironmentUtilization of advanced real-time data streaming technologies for ML model inference.Experience with distributed data processing frameworks that enable scalable, low-latency pipelines.Work with containerized workloads orchestrated in cloud-native environments.Employ monitoring and observability tools to ensure the reliability and performance of data pipelines.Engage with a Python-based ecosystem that supports ML model integration and lifecycle management.Key ResponsibilitiesTransform batch inference workflows into efficient streaming pipelines.Establish streaming semantics to replace batch windows, including micro-batching, windowing, and state management.Design Kafka topic structures, partitioning strategies, and consumer group patterns tailored for prediction workloads.Implement strategies for checkpointing, backpressure handling, and delivery guarantees.Package and version ML model artifacts for streaming jobs to facilitate safe rollouts and rollbacks.Optimize performance for throughput and latency through effective batching strategies and resource allocation.Deploy and manage streaming jobs with comprehensive monitoring and alerting.Integrate streaming outputs into downstream ETL/BI systems seamlessly.Collaborate with Data Scientists on CI/CD for streaming models while monitoring model performance and drift.Team & CollaborationEngage in a distributed delivery model closely coordinated with the central AI/BI team in Germany.Experience daily collaboration through MS Teams, Jira, and Confluence.Utilize Agile methodologies (Scrum/Kanban) within cross-functional squads.

Join Inetum Polska as a skilled ML Ops Engineer, where you will play a critical role in shaping the future of machine learning operations. Your primary responsibility will be to architect and deploy the necessary infrastructure to support the management and orchestration of up to 1,500 ML scoring processes within a cutting-edge Databricks environment. You will focus on operationalizing ML scoring pipelines, establishing a robust, scalable, and secure platform that empowers our data science teams to seamlessly deploy their models.

Location: Poland About Us:RTB House is a pioneering global technology company specializing in innovative marketing solutions for leading brands and advertising agencies around the globe. Our proprietary ad-buying engine stands out as the first in the world to utilize Deep Learning algorithms entirely, empowering advertisers to achieve exceptional results and meet their objectives throughout every stage of the marketing funnel. Your Role:As a Senior Technical Researcher/Engineer on our AdTech Technical Research Team, you will be instrumental in investigating and mastering the latest advancements in the advertising technology landscape. Your responsibilities will include conducting comprehensive research, testing novel technologies, and collaborating across various teams to determine their viability for integration into our systems. This position requires a unique combination of programming, research, and analytical skills to assess the effectiveness and practicality of diverse ad tech solutions. Qualifications: Minimum of 5 years of experience in a research or engineering role. Technical Proficiency: Strong programming skills with the ability to comprehend large-scale and intricate systems and architectures. Curiosity and Willingness to Learn: Eagerness to embrace new challenges and technologies while continuously enhancing knowledge in the ad tech sector. Independence & Proactiveness: Capability to take initiative and make informed decisions with minimal oversight while upholding high standards. Goal-Oriented Mindset: Focused on achieving specific project objectives and adaptable in a fast-paced environment. Collaborative Communication: Proficient in effectively sharing knowledge and working alongside team members and external partners (e.g., major browser vendors, W3C, GitHub). Prototyping Skills: Ability to develop Proof of Concepts (PoCs) and experimental solutions to evaluate their effectiveness. Technologies & Projects You May Work With: Python, Java, Scala, TypeScript/JavaScript PyTorch, NumPy, Pandas Jupyter Notebooks BigQuery, GCP Browser Engines

CoreWeave is the essential cloud for AI™, designed and built by pioneers in the industry. Our platform provides cutting-edge technology, tools, and a dedicated team that empowers innovators to confidently build and scale AI solutions. With a reputation trusted by leading AI labs, startups, and global enterprises, we combine exceptional infrastructure performance with profound technical expertise to accelerate breakthroughs, transforming compute capabilities into tangible outcomes. Founded in 2017, CoreWeave became a publicly traded entity on Nasdaq (CRWV) in March 2025. Discover more at www.coreweave.com. We are proud to be recognized as a Living Wage accredited employer.About the RoleWe are looking for a Senior DPU Datapath Engineer to spearhead validation, automation, and operations for our NVIDIA DPU-based dataplane in a production environment. As a key member of the Network Services / DPU team, you will take ownership of the test and automation strategy for our OVS-based datapath and its associated control-plane components, ensuring rigorous validation of NVIDIA software releases for regression, functionality, and scalability within CoreWeave’s production ecosystem.Your collaboration with DPU, networking, and platform engineering teams will be crucial in defining requirements, developing automation, and establishing a dependable, repeatable validation service that safeguards our customers and our cloud infrastructure.Key ResponsibilitiesLead a local team in executing the DPU test strategy.Own the validation strategy for the DPU datapath, encompassing regression, new feature, and scale/performance testing for NVIDIA software releases and DPU images.Design and implement automation to optimize our production-like dataplane:Orchestrate DPU/host configurations, OVS pipelines, and traffic patterns.Automate test execution, result collection, and reporting.Integrate with CI/CD processes to gate releases entering production.Develop a deep understanding of NVIDIA DPU behavior in our environment:NVIDIA DPU software (e.g., DOCA/HBN stacks and related components).OVS/OVS...

Join the forefront of online security with the world's leading VPN provider.If you are an inquisitive problem-solver eager to innovate, become a part of the team spearheading Threat Protection Pro, the NordLynx protocol, and the fastest VPN available—empowering users with enhanced privacy, security, and control over their data.Your contribution? Enabling millions to reclaim their online security, privacy, and data.Our Threat Intelligence team is committed to delivering precise and timely insights regarding potential threats to our products. Our diverse team of experts spans various disciplines, including Data Science, Malware Research, Development, and Privacy, all working towards a unified objective through the application of data feeds, heuristics, algorithms, and machine learning.Key ResponsibilitiesDesign and implement solutions to complex problems while conducting research, debugging, and data analysis across various sources;Create scalable, reliable code and document your contributions and explorations;Research, develop, and deploy data science solutions to production;Develop custom machine learning metrics to monitor model performance;Analyze validation/testing outcomes, provide explanations, and refine model designs accordingly;Collaborate with team members to plan deliverables;Perform code reviews to ensure quality;Maintain open communication regarding project progress;Mentor colleagues and share knowledge within the team;Propose enhancements to existing solutions.Core QualificationsDemonstrated experience in data science and/or mathematical modeling;Strong understanding of statistical methods (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference);Extensive knowledge and practical experience with machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;Proficiency in Python and hands-on experience with the PyData stack (e.g., Pandas, NumPy, etc.);

Join our innovative Threat Intelligence team at Nordsec as a Senior Data Scientist. In this pivotal role, you will analyze complex data sets to enhance our cybersecurity measures and protect our clients from emerging threats. You will leverage advanced analytical techniques and machine learning algorithms to derive insights that inform strategic decisions.

Join Squarepoint Capital as a Quantitative Developer specializing in High Performance Computing with expertise in Python. In this pivotal role, you will contribute to the development and optimization of advanced quantitative models, leveraging your technical skills to enhance performance in a fast-paced environment. Your work will directly influence trading strategies and investment decisions, making a significant impact on the firm's success.