AI Engineer

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 …

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.

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 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.

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.

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.

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 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.

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.

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 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.

Role Overview ifs1 is hiring a Learning & Curriculum Designer for the Global Sales Enablement team in Warsaw. This role focuses on creating and improving learning strategies that help sales teams worldwide perform at their best. What You Will Do Design and develop learning experiences for global sales teams Create training materials that support company goals Work closely with cross-functional teams to ensure training is effective and relevant Collaboration This position partners with colleagues across departments to align learning content with business objectives and drive sales team success.

Join Testronic as the Global Director of Learning & Development and play a pivotal role in shaping the future of our Quality Assurance services. This strategic position will focus on enhancing the skills and capabilities of our teams across three global locations.In this role, you will be instrumental in identifying and nurturing talent to ensure our junior managers are prepared for promotions in a timely manner. You will design and implement comprehensive technical training programs, emphasizing ISTQB certifications and project management methodologies as key differentiators in our service offerings.Your expertise will also be critical in revamping our employee induction and onboarding processes, ensuring that new hires are well-equipped to succeed in their roles.This position requires a global mindset, as you will collaborate with colleagues across all major offices, making international experience essential.

Join Point72’s Innovative AI/ML – Investment Services TeamThe AI/ML – Investment Services team at Point72 is at the forefront of developing transformative AI solutions aimed at revolutionizing our business processes and elevating enterprise intelligence. By bridging business challenges with technological advancements, our team collaborates closely with stakeholders across the firm, utilizing expertise in generative AI, data engineering, and machine learning.Your Role and ResponsibilitiesDesign, develop, and maintain high-throughput data pipelines using Databricks and AWS services (Glue, EMR, Fargate, Step Functions).Ingest, normalize, and enrich vast quantities of both structured and unstructured data, including internal datasets, market information, third-party feeds, document repositories, and alternative data sources.Work in tandem with AI Engineers, ML Scientists, and Software Engineers to convert model and product requirements into scalable data architecture, schemas, and APIs.Enhance pipeline performance (compute, storage, network) and reduce costs by applying distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling).Implement data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and enforcing fine-grained access controls using Immuta/Ranger/IAM.Create automated validation, testing, and monitoring frameworks to ensure data quality, freshness, and drift detection for both offline and online workflows.Assist in onboarding and integrating new external data vendors, ensuring compliance with contracts, managing metadata, and achieving rapid time-to-value for relevant teams.Continuously assess emerging GenAI tools (vector stores, LLMOps platforms, synthetic-data generators) and lead proof-of-concept initiatives to enhance our data engineering capabilities.

About Us:RTB House stands as a pioneering performance demand-side platform (DSP), harnessing proprietary Deep Learning AI algorithms to empower brands in their growth journeys. As a market leader, we drive performance through Deep Learning across the entire purchase funnel.Established in 2012 and currently operating in over 90 markets, RTB House is firmly private-by-design, advocating for first-party advertising and a relentless commitment to innovation. Our end-to-end Deep Learning-powered AdTech products and solutions are tailored to maximize conversions, facilitate new customer acquisition, enhance engagement, and stimulate long-term demand for our global clientele.We are on the lookout for a talented Software Engineer with substantial backend and microservices development experience to join our dynamic team. In this role, you will design, develop, and maintain web applications, microservices, and internal tools, while also contributing to frontend development as necessary.

Dentons Business Services EMEA serves as the operational backbone for Dentons, the world’s largest law firm, facilitating exceptional service delivery to clients across Europe, the Middle East, and Africa. Our EMEA business services team is a vital part of Dentons' global network, driving efficiency, innovation, and collaboration.At Dentons Business Services EMEA, we are dedicated to supporting legal professionals with state-of-the-art solutions. Our vibrant and diverse team works collaboratively to offer a broad array of services, including finance, IT, human resources, marketing, and more. We take pride in nurturing a culture of continuous improvement and adaptability.About the OpportunityWe are excited to announce an internship opportunity within our Talent Team. This role is perfect for a motivated and enthusiastic individual with a strong willingness to learn. As an intern, you will gain invaluable insights into the operations of our Learning & Development team within a global law firm context.You will play a crucial role in the execution of our premier development programs, contributing to the growth and engagement of our workforce.

fusionconsulting is seeking a Working Student in Talent Management & Learning for an internship based in Warsaw. This position is designed for students eager to gain practical experience in the fields of talent management and learning. Role overview As a working student, you will collaborate with a team focused on employee development and organizational growth. The internship centers on supporting projects that aim to improve learning initiatives and talent strategies within the company. What you will do Work alongside experienced professionals on projects related to talent management and learning Contribute to efforts that enhance employee development Support ongoing initiatives that drive organizational success Who should apply This role is ideal for motivated students interested in building hands-on experience in talent management and learning while working in a collaborative environment.