Join the #VLteam at VirtusLab, where technology meets passion and innovation. We are a group of tech enthusiasts dedicated to continuous growth and development. Our team culture emphasizes a friendly atmosphere, ample opportunities for self-improvement, and superior working conditions. We value trust and autonomy, believing in ‘measuring outcomes, not hours.’ Come and experience this unique environment for yourself!

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 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.

Senior: PLN 260,400 - 352,200Staff: PLN 350,700 - 474,400We have multiple openings available at both Senior and Staff levels based on role responsibilities and duties.About GraphcoreAt Graphcore, we are pioneering the future of AI computing.Our dedicated team of semiconductor, software, and AI professionals possesses extensive experience in developing the full AI compute stack—from silicon and software to large-scale infrastructure.As a proud member of the SoftBank Group, we are supported by substantial long-term investments, enabling us to deliver critical technology within the rapidly expanding SoftBank AI ecosystem.To tackle the vast and exciting opportunities in AI, Graphcore is expanding its teams across the globe.We unite the brightest minds to address the most challenging problems, ensuring that everyone has the chance to influence our company, products, and the future of artificial intelligence.Job SummaryAs a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will be instrumental in pushing the boundaries of AI technology by developing and optimizing AI models specifically designed for our unique hardware. Your focus will be on large systems, where performance is essential to the success of our initiatives. Collaborating closely with Software Development and Research teams, you will play a vital role in identifying innovative opportunities and differentiating Graphcore’s technology. We seek engineers with robust technical skills and a solid understanding of large-scale AI model implementation, eager to make a significant impact in this fast-evolving field.The TeamThe Applied AI team acts as a liaison for our customers, ensuring we stay abreast of the latest AI models, applications, and software to guarantee that Graphcore’s technology integrates seamlessly with the AI ecosystem and operates at scale. We develop reference applications, enhance key software libraries (e.g., optimizing kernels for efficiency on our hardware), and collaborate with the Research team to create and disseminate innovative ideas in fields such as efficient compute, model scaling, and distributed training and inference of AI models across various modalities and applications.

Intuition Machines is at the forefront of building enterprise security solutions infused with cutting-edge AI and machine learning technologies. Our innovative research drives systems that cater to the needs of hundreds of millions of users globally, supported by a diverse team spread across various locations. Among our notable offerings is the hCaptcha security suite, which exemplifies our approach of maintaining low overhead, agile teams, and fast-paced development cycles.We are seeking a visionary Lead Machine Learning Engineer who possesses robust software engineering prowess and a flair for creatively solving ML-centric challenges.Responsibilities:Lead the development and execution of large-scale ML projects from concept through to production, managing the entire lifecycle including design, implementation, deployment, and ongoing maintenance.Make strategic architectural decisions to create solutions that are not only scalable and efficient but also maintainable, while carefully balancing both business and technical requirements.Foster collaboration among machine learning and engineering teams to drive product success, effectively influencing technical discussions and decisions across all organizational levels.Design and develop advanced machine learning pipelines and models that deliver substantial impact to millions of users and create tangible business value.Establish technical standards and lead the creation of scalable, testable, and high-performance applications.Provide leadership and mentorship to fellow ML engineers, nurturing the growth of a robust Machine Learning Engineering community.Opportunities for Growth:Engage with systems that reach millions of users daily, enhancing machine learning systems that process billions of data points and conduct millions of inferences each second.Acquire expertise in architecting and scaling sophisticated ML solutions to tackle real-world challenges, transcending typical methodologies found in academic literature.Seize the opportunity to define the technical strategy, contribute to groundbreaking ML advancements, and steer the future trajectory of ML systems at scale.

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.

Join our dynamic Chat Group as a Senior Machine Learning Engineer, where we are revolutionizing the recruiting industry with next-generation intelligent conversational systems.Our mission is both ambitious and straightforward: to enhance the efficiency of recruiting and hiring teams, while providing an exceptionally personalized experience through advanced ML, NLP, and agentic AI technologies.In this pivotal role, you will architect and develop agentic workflows, enabling autonomous AI agents to collaborate, reason, and perform tasks that deliver scalable, intelligent, and context-aware recruiting experiences.At SmartRecruiters, you will collaborate with a global team across Germany, Poland, the UK, and the US, in a culture that prioritizes autonomy, innovation, and measurable success.We’re not just creating chat systems; we’re crafting the AI recruiting assistants of the future.Note: This position is available under a standard employment contract with 80% of tax-deductible costs.

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.

Role Overview Title: Senior Machine Learning Engineer - Finance Location: Remote (Poland-based) Language Requirement: English proficiency at C1 level About Fundraise Up Fundraise Up builds a platform that streamlines online donations for nonprofits. The company focuses on fast, intuitive user experiences that help organizations increase conversion rates and collect tens of millions in contributions each month from supporters worldwide. Trusted by major nonprofits such as UNICEF and the American Heart Association, Fundraise Up holds a strong reputation with a 4.9 out of 5 rating on leading review sites. The company primarily serves enterprise clients across the US, Canada, UK, and Australia. Team and Culture The product development team includes more than 150 professionals from countries like Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia. Most team communication happens in Russian. Collaboration and knowledge sharing are central to the culture. Bi-weekly engineering meetups offer space for technical discussions and sharing achievements. Every team member’s input is valued, and mutual support is encouraged. What You Will Do This position involves leading a client intelligence project that is moving in-house after a successful proof-of-concept with an external consultant. The project’s goal is to build a global list of potential clients, analyze their product needs, industry sectors, and revenue potential, and deliver a scoring model that integrates with the sales pipeline. Responsibilities span the full lifecycle: from gathering and enriching data to modeling and deploying solutions. The work is highly visible, involving close collaboration with company executives. Key Responsibilities Build and maintain a market intelligence database using various data collection techniques, including scraping and data enrichment. Optimize data pipelines and develop machine learning models for data scoring and analysis. Design and implement web scrapers to extract actionable insights from nonprofit websites, ensuring data accuracy and relevance.

Join our dynamic team at Lingarogroup as a Machine Learning / Artificial Intelligence Engineer. In this pivotal role, you will be at the forefront of developing innovative AI solutions that will drive our business forward. You will collaborate with talented professionals in a stimulating environment, working on cutting-edge projects that leverage the latest advancements in machine learning and AI technologies.

SoftwareMind is looking for a Machine Learning Engineer in Kraków. This position centers on building intelligent systems that help organizations make better decisions through data-driven insights. Role overview The Machine Learning Engineer will design and implement models using established machine learning algorithms. The work involves processing data and developing solutions that support smarter business outcomes across various industries. What you will do Develop and refine machine learning models to extract actionable insights from data Apply data processing techniques to prepare and analyze large datasets Contribute to projects that aim to improve decision-making processes for clients Requirements Experience with machine learning algorithms Strong skills in data processing and analysis

About PredictXJoin one of London's leading SaaS scale-ups and make a significant impact in the realm of AI, data analytics, and technology. At PredictX, AI isn't just a buzzword for us; it's a fundamental part of our identity and product evolution for over ten years.As a pioneering Enterprise SaaS provider, we empower some of the largest corporations globally, including three FAANGs, by transforming critical decision-making processes through our integrated AI technology and predictive analytics.We are committed to leading the charge in technological innovation. By joining us, you will be part of a dynamic team that actively seeks to adopt the latest advancements to maintain our competitive advantage.The RoleAs a Senior/Expert ML/Data Engineer, you will spearhead our data science and machine learning endeavors, driving the development of our AI-driven solutions. You will play a crucial role in the design, construction, and maintenance of our state-of-the-art data infrastructure and machine learning pipelines, with a particular emphasis on harnessing the capabilities of Large Language Models (LLMs) and other cutting-edge AI technologies.This position requires a robust combination of data engineering expertise, a deep understanding of machine learning (including LLMs), and the ability to convert complex business challenges into effective technical solutions. You will lead projects, mentor junior team members, and drive innovation within our fast-paced data and AI environment. Candidates will be engaged on a B2B basis.

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. ...

About PathwayAt Pathway, we are revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that emulates human thought processes. Our innovative architecture not only surpasses traditional Transformer models but also provides enterprises with unparalleled transparency into its operations.Combining our foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental optimization and embrace a truly contextualized, experience-driven intelligence. We are proud to serve high-profile clients such as NATO, La Poste, and Formula 1 racing teams.Guided by co-founder & CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers such as CTO Jan Chorowski, who pioneered the application of Attention to speech and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at just 20 years old.Our endeavors are supported by leading investors and advisors, such as Lukasz Kaiser, co-author of the Transformer architecture (the basis for ChatGPT) and a pivotal researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California.The OpportunityWe are seeking 1 or 2 R&D Engineers specializing in attention-based models.In this highly ambitious foundational project, we offer a flexible GPU budget guaranteed to exceed seven digits.You WillConduct (distributed) model training.Enhance and adapt model architectures based on experimental outcomes.Design innovative tasks and experiments.Optionally supervise team members involved in data preparation.Your contributions will be instrumental in the project's success.

Join our dynamic team as a Machine Learning Engineer, where you will engage in innovative projects that leverage cutting-edge technology to develop AI-driven solutions. Your primary focus will be on merchant segmentation, churn prediction, and comprehensive business evaluation through advanced web scraping and forecasting models.We are looking for candidates who are eager to take ownership of complex machine learning models and lead them from conception to production.

nix is looking for a Mid-Level Machine Learning and AI Engineer to help shape advanced AI solutions within the Palantir Foundry and AIP ecosystem. This role is based in Poland. Role Overview This position centers on building and improving machine learning models and large language model (LLM) solutions. These models will be integrated into Foundry workflows to support analytics, automation, and decision-making. The engineer will work alongside data engineers, business analysts, and subject matter experts to deliver practical, production-ready AI tools. What You Will Do Design and refine machine learning and AI models for predictive analytics, classification, forecasting, and AI-assisted workflows. Create AI and ML solutions in Python within Palantir Foundry, making use of Foundry pipelines, Ontology objects, and workflows. Apply LLMs and natural language processing (NLP) techniques, such as prompt engineering, fine-tuning, embeddings, and retrieval-augmented workflows, using Palantir AIP for enterprise needs. Work with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference. Run experiments, evaluate model performance, and iterate on features and modeling approaches. Integrate AI models into Foundry workflows to generate insights and improve business processes. Support model deployment and monitoring, following team standards and best practices. Collaborate with business and domain stakeholders to turn requirements into effective AI solutions. Document model behavior, assumptions, and limitations for transparency and compliance. Keep up with trends in applied AI and GenAI, and bring forward new ideas with guidance from senior colleagues.

Join Pathway: Pioneering AI InnovationAt Pathway, we are revolutionizing artificial intelligence with our groundbreaking post-transformer model that mirrors human thought processes. Our innovative architecture surpasses traditional Transformer models, offering enterprises unparalleled insights into model functionality.By integrating our foundational model with the fastest data processing engine available, we empower organizations to transcend mere incremental improvements and achieve truly contextualized, experience-driven intelligence. Our esteemed clientele includes NATO, La Poste, and elite Formula 1 racing teams.Pathway is co-founded by Zuzanna Stamirowska, a complexity scientist, supported by a team of AI visionaries, including CTO Jan Chorowski, who pioneered the application of Attention in speech, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist.Backed by leading investors and experts, including Lukasz Kaiser, co-author of the Transformer and key contributor to OpenAI’s reasoning models, Pathway is headquartered in Palo Alto, California.The RoleWe are seeking two talented ML/AI Engineers with robust software engineering skills to prototype, evaluate, enhance, and deploy end-to-end Machine Learning projects using enterprise data. For project inspiration, explore our AI pipelines templates.If you’re excited about developing a hybrid Vector/Graph index that outperforms existing benchmarks, delivering effective AI solutions to critical industries, or optimizing datasets to enhance LLM accuracy, this opportunity is for you!Your Responsibilities Design experimental end-to-end ML/AI pipelines Address new use cases that push beyond current standards Enhance AI pipelines for production, utilizing client data (often live streams) Innovate preprocessing techniques and adjustments (reranking, parameter tuning) for optimal AI pipeline performance Create benchmark tasks and conduct experiments Develop unit tests and implement model monitoring Contribute high-quality production code to our developer frameworks, utilized by thousands Assist in preprocessing datasets for LLM training. Your contributions will be pivotal in shaping the future of AI.

At Tenstorrent, we are at the forefront of pioneering AI technology, setting new standards in performance, user-friendliness, and cost-effectiveness. As AI transforms the computing landscape, our solutions are evolving to integrate advancements across software models, compilers, platforms, networking, and semiconductors. Our talented and diverse team has successfully developed a high-performance RISC-V CPU from the ground up, fueled by a passion for AI and a relentless drive to create the best AI platform possible. We cherish collaboration, curiosity, and the determination to tackle complex challenges. Our team is expanding, and we invite contributors of all experience levels to join us.In your role as a C++ Machine Learning Engineer on the AI Models team, you will be instrumental in developing the training framework that supports our most advanced AI models. You will write efficient C++ code, influence the implementation of new layers and operators, and enable our models to scale on our custom silicon. If you thrive on building the core of machine learning systems and enjoy optimizing their performance, this position is perfect for you.This role is hybrid, primarily based in Warsaw or Gdańsk, Poland, with consideration for remote candidates on a case-by-case basis.We welcome applicants of various experience levels. During the interview process, we will evaluate candidates to determine the appropriate level, and offers will be aligned accordingly, which may differ from the level stated in this posting.