Senior Machine Learning Engineer - Token Factory

Join Filevine, a pioneering leader in Legal AI, as we redefine the future of legal operations through our innovative platform that integrates data, documents, workflows, and teams into a singular system of truth. Our Legal Operating Intelligence System, LOIS, empowers legal professionals by transforming operations from reactive to proactive, providing insights that enhance clarity and confidence.As a recognized innovator in the tech industry, Filevine has received accolades from prestigious organizations like Deloitte and Inc., solidifying our position as one of the fastest-growing technology companies in the country.Role Summary:We are on the lookout for a dedicated Machine Learning Data Annotator to play a vital role in the development of our AI-driven products. In this position, you will be responsible for generating high-quality annotations for machine learning tasks, which are essential for model training, evaluation, retrieval, and quality analysis. Your expertise will also involve conducting error analysis of model outputs, assessing the performance of various approaches, and collaborating with cross-functional teams to optimize datasets and workflows.Your contributions will be critical in ensuring data accuracy, consistency, and completeness, which directly influences the effectiveness of our AI solutions.This is a full-time independent contractor position.

Filevine is at the forefront of Legal AI, offering innovative Legal Operating Intelligence designed for the future of legal work. Our platform integrates data, documents, workflows, and teams into a cohesive system, ensuring clarity and consistency in modern legal operations.Our proprietary Legal Operating Intelligence System, LOIS, revolutionizes legal operations by transforming them from reactive to proactive. LOIS comprehends, analyzes, and interprets data to uncover insights, streamline complexities, and empower legal professionals with the clarity and confidence they need to excel. Recognized by Deloitte and Inc. as one of the most innovative and rapidly expanding tech companies in the nation, Filevine thrives on the creativity and collaboration of its exceptional team.Role Overview:We are a group of passionate and driven problem solvers with expertise in machine learning, engineering, product management, law, and operations. Our mission is to assist attorneys in resolving cases more efficiently for improved outcomes. With two established ML teams exploring new frontiers in transcription, NLP, and GenAI applications, we are currently developing a vital analytics framework to ensure operational excellence, uphold quality standards, and foster continuous improvement across our AI systems.

At Rossum, we leverage cutting-edge machine learning and a user-friendly interface to eliminate unnecessary paperwork, enhancing efficiency across the globe. Our ML Research Team is at the forefront of developing proprietary, state-of-the-art neural architectures that drive Rossum’s systems, processing millions of documents weekly for clients around the world.We invite exceptional students to join our innovative startup in Prague, where we uphold the elite standards characteristic of Silicon Valley.This internship is anything but ordinary. We seek motivated individuals with a background in ambitious research projects who desire the autonomy to manage their own initiatives while receiving guidance from our esteemed Research Team.THE PROJECT: Your Innovation, Our SupportThis is a 2-month summer internship in ML research with opportunities for long-term collaboration or a potential full-time position based on performance and mutual fit.Your Role:Join Rossum’s Research Team and spearhead your own project that explores state-of-the-art deep learning and LLMs for document understanding.Engage in hands-on work utilizing Python and PyTorch in the realms of Computer Vision and NLP.Conduct experiments on extensive real-world datasets that are integral to Rossum’s operational systems.Gain access to advanced research servers equipped with numerous high-performance GPUs, terabytes of RAM, and hundreds of CPU cores.Collaborate closely with senior researchers and engineers who are shaping the core technologies at Rossum.After a successful interview, instead of merely assigning a task, we will tailor a project to align with your research interests and passions.High-achieving interns may find their work integrated into production systems, influence internal research directions, and even co-author publications.ABOUT YOUYou are a standout student with a keen interest in Machine Learning, Computer Vision, or NLP, likely in the latter stages of your Bachelor’s program or currently pursuing a Master’s or PhD.You offer:Practical ML experience through academic projects, internships, or research.

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 the Nebius TeamAt Nebius, we are pioneers in the realm of cloud computing, dedicated to empowering the global AI economy. Our mission is to provide innovative tools and resources that enable our clients to tackle real-world challenges and revolutionize industries—all while minimizing infrastructure costs and the complexities of maintaining extensive in-house AI/ML teams. Collaborating with us means being at the forefront of AI cloud infrastructure, alongside some of the most seasoned and creative leaders and engineers in the industry.Our LocationsHeadquartered in Amsterdam and publicly listed on Nasdaq, Nebius boasts a worldwide presence with R&D hubs strategically located across Europe, North America, and Israel. Our diverse team of over 1400 professionals includes more than 400 highly skilled engineers who excel in both hardware and software engineering, along with a dedicated in-house AI R&D unit.The RoleAs part of the Token Factory division within Nebius Cloud, one of the largest GPU cloud infrastructures globally, you will contribute to the development of a sophisticated inference and fine-tuning platform. This platform supports a wide array of foundation models—spanning text, vision, audio, and emerging multimodal architectures—ensuring they are fast, reliable, and effortlessly scalable for training and deployment.Current Focus Areas:Advanced Fine-Tuning: Innovating fine-tuning techniques, including LoRA-based and full-parameter methodologies, for state-of-the-art LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), with an emphasis on enhancing model quality and training efficiency.Inference Optimization: Analyzing LLM inference constraints to enhance production speed. This involves creating training and evaluation pipelines in JAX for speculative decoding, exploring various architectures (dense/MoE, auto-regressive/parallel), and establishing scaling laws to optimize resource allocation.

Join Filevine, a pioneering Legal AI company redefining the future landscape of legal work through our innovative Legal Operating Intelligence (LOIS) platform. Our unique system integrates data, documents, workflows, and teams into a cohesive environment where legal professionals can operate with exceptional clarity and efficiency.With LOIS at its core, Filevine empowers legal professionals by transforming operations from reactive to proactive, utilizing advanced capabilities to comprehend and analyze data. Our award-winning technology, recognized by Deloitte and Inc., continues to earn accolades for innovation and rapid growth. Collaborate with a dynamic team of visionaries and innovators dedicated to reshaping the legal field.Role Overview:As a Machine Learning Engineer at Filevine, you will spearhead the design and implementation of advanced NLP models for applications such as medical summarization, credibility assessment, and contradiction detection. Your role will also involve enhancing our transcription pipelines and automating internal AI processes. Collaborate closely with engineering teams to integrate these models into production, ensuring optimal system stability and accuracy while driving forward-thinking advancements in NLP, particularly in the legal and medical sectors, utilizing tools such as Python, PyTorch, and AWS.

Sentinel Labs is looking for a Senior Machine Learning Engineer to join the AI Detection Team in Prague. This role centers on advancing Static AI Detection technology, with a focus on developing algorithms and models that strengthen AI detection capabilities for organizations around the world. Role overview The Senior Machine Learning Engineer will work closely with colleagues from different disciplines to design, implement, and optimize machine learning solutions. The position involves analyzing data, building prototypes, and refining processes to improve the performance of AI systems. What you will do Develop and enhance algorithms and models for AI detection Collaborate with cross-functional teams on impactful projects Analyze data to inform model development Build and test prototypes to validate new approaches Refine processes to ensure optimal system performance Location This position is based in Prague, Czech Republic.

Join ShipMonk as a Data Scientist specializing in Transportation & Logistics Intelligence. In this role, you will leverage data analytics and machine learning to optimize our logistics processes and enhance operational efficiency.Your insights will drive strategic decisions, enabling us to streamline operations and reduce costs. Collaborate with cross-functional teams to implement data-driven solutions that improve customer satisfaction and operational performance.

Join Collibra's Innovative Artificial Intelligence Team We are on the lookout for a seasoned AI Engineer to architect and implement Artificial Intelligence solutions that enhance our customer experience and facilitate informed, data-driven decision-making. If you are passionate about leveraging cutting-edge technologies to create effective, high-performance AI solutions, this role is for you. You will collaborate with a global team of exceptional builders, united by a commitment to innovative technology, problem-solving, and the pursuit of crafting simple, elegant products that engage and delight customers at every level of data interaction. This is a hybrid role based in our Prague office, where you will work on-site at least two days a week. This model fosters connectivity, teamwork, and collective progress.

Join Keyloop, where we connect dealers, manufacturers, tech providers, and car buyers.We empower automotive dealers and manufacturers to embrace digital transformation through our innovative technology, enhancing the car-selling experience for our clients and improving the car-buying and ownership experience for their customers. Our cutting-edge technology integrates systems, departments, and locations for our clients, offering an open platform that is shaping the future of the industry. We leverage data to help our clients enhance efficiency, boost profitability, and provide exceptional customer experiences. Are you ready to be a part of this exciting journey? As a Digital Learning Content Developer, you will play a crucial role in the creation and development of digital learning materials. Collaborating within a dynamic team, you will also be expected to take initiative and work independently through all phases of the design process. This includes needs analysis, storyboarding, user interface design, user experience design, content creation, graphic design, project coordination, and the implementation of delivery technologies, all while adhering to Keyloop’s quality and standards policies.

Join us in our exhilarating journey to revolutionize the data storage industry with cutting-edge technology. As a part of our team, you'll engage in innovative projects that redefine the tech landscape, working alongside some of the brightest minds in the field.If you are eager to embrace limitless possibilities and make a significant impact, we invite you to become a key player in our mission.THE ROLEAs a Senior Applied AI Engineer, you will design and maintain production-grade AI systems capable of deriving insights from extensive unstructured document collections. Your work will facilitate enterprise data discovery, classification, and governance.You will take ownership of the entire lifecycle of graph intelligence solutions—from problem definition and data modeling to the development and enhancement of knowledge graphs, culminating in the deployment of ML and LLM-powered analytics in production environments. Your focus will be on semantic and contextual analysis of unstructured data to reveal relationships, patterns, and insights that uphold AI safety, security, and compliance standards.WHAT YOU'LL DODesign, construct, and implement graph-based AI solutions, integrating knowledge graphs, LLMs, and ML models tailored for extensive unstructured datasets.Define and manage data pipelines that transform and enrich entity relationships into production-quality knowledge graphs.Incorporate LLMs and ML models into text processing workflows for tasks such as classification, embedding generation, document similarity, and semantic analysis.Architect, deploy, and maintain graph and vector databases to facilitate retrieval, reasoning, and analytics.Enhance models and inference pipelines to meet production constraints including latency, throughput, cost, and infrastructure requirements.Deploy, supervise, and refine ML systems in live environments, ensuring reliability and continuous integration.Lead architectural decisions and set the technical direction for applied AI and graph intelligence solutions.Note: Our work primarily takes place in an office environment, and you will be expected to work from the Prague office in accordance with company policies, except during PTO, business travel, or other approved leaves.

Role overview Pipedrive is hiring a Principal AI/ML Scientist & Engineer in Prague, Czech Republic. This role leads projects focused on artificial intelligence and machine learning, working closely with a skilled team to create solutions that improve business processes and customer experiences. The position plays a key part in shaping the company's AI strategy and driving meaningful results.

Join us at the forefront of technology, where we are revolutionizing the data storage landscape. Lead with creativity, evolve with us, and become part of the brightest minds in the industry.Our mission is rooted in work that transforms the world, staying true to the values that founded the tech industry. If you're eager to embrace limitless possibilities and leave your mark, we invite you to join our team.THE ROLEAs a Data / AI Engineer, you will design a high-performance data ecosystem that converts raw data into actionable intelligence and advanced AI solutions. Collaborating with Data Scientists and Product Managers, you will establish the infrastructure necessary to scale our AI capabilities, setting the stage for the future of automated customer support and operational excellence.WHAT YOU'LL DOArchitect Scalable Data Infrastructure: Design, deploy, and enhance ETL pipelines and data models that generate high-quality, AI-ready datasets for global business insights.Drive AI Evolution: Spearhead the technical development of AI-driven workflows, integrating innovative LLM frameworks to automate intricate business operations and improve decision-making.Ensure Data Excellence and Integrity: Oversee the complete data management lifecycle, implementing strong governance, security, and monitoring to uphold a "single source of truth" for key stakeholders.Collaborate and Solve Across Functions: Work alongside cross-functional teams to translate business needs into technical specifications, serving as the vital link that transforms raw data into meaningful organizational impact.Operational Reliability: Manage on-call support during business hours to guarantee smooth operation of ingestion systems, ensuring high availability for our global data users.WHAT YOU BRINGAdvanced Engineering Proficiency: Extensive technical knowledge in SQL, Python, and data modeling, with a successful history of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.Modern Data Stack Expertise: Practical experience in managing relational and NoSQL databases (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud environments.Growth Mindset & AI Curiosity: A strong desire to learn and innovate in the field of AI.

Role Overview Rossum AI is hiring a Junior AI Platform Engineer to join the AI Platform (R&D) team in Prague. This entry-level role suits recent graduates or junior engineers interested in AI infrastructure and large-scale machine learning systems. As part of the team, you will help build and maintain Rossum’s proprietary LLM models. The work involves deploying AI solutions that process millions of documents, and collaborating closely with experienced research engineers. This position offers hands-on exposure to both platform engineering and machine learning in a production environment. What You Will Do Contribute to AI Infrastructure: Support the development of cloud-based AI systems (AWS), data processing pipelines, and model deployment workflows. Support CI/CD Processes: Help maintain and improve continuous integration and delivery pipelines to enable reliable model versioning and testing. System Monitoring: Build and refine monitoring tools to keep AI systems healthy and reliable. Cross-Team Collaboration: Work with research, backend, and product teams to bring new AI models into production smoothly. What We Look For Education: Degree in Computer Science or a related technical field. Background from Matfyz, CTU, FSV, or similar institutions is a plus. Python Skills: Solid programming experience in Python, gained through coursework, personal projects, or internships. Technical Fundamentals: Familiarity with SQL, and a basic understanding of Docker and Kubernetes. Interest in AI/ML: Curiosity about AI and machine learning, with a hands-on approach to understanding how systems work. English Communication: Comfortable communicating in English in a professional setting. What Success Looks Like First 3 Months: Complete onboarding, learn the system architecture, and deliver your first small tasks with guidance from a senior mentor. First 6 Months: Independently handle minor infrastructure improvements and help maintain system stability.

Delivery Hero is looking for a Data Analyst in Marketing to support its Prague team. This position centers on turning data into clear insights that shape marketing strategies and decision-making. Role overview As a Data Analyst in Marketing, the main focus is on analyzing customer behavior and campaign performance. The insights generated will guide the team in optimizing marketing efforts and improving results. What you will do Analyze marketing data to identify trends and patterns in customer behavior Support the optimization of marketing campaigns using data-driven recommendations Collaborate with the marketing team to enhance overall marketing effectiveness Team culture The team values innovation and creativity, working together in the evolving online food delivery sector.

About ValkaValka, a pioneering spin-off from the Realms Group, is dedicated to transforming the landscape of digital content creation and interaction. Our mission is to ensure that content is not merely consumed but co-created in real time, seamlessly merging imagination with reality. By leveraging advanced AI technologies, we are developing an interactive human-digital platform where virtual characters engage dynamically with users through voice, text, gestures, and more.This is your opportunity to be part of a diverse team of innovators who are passionate about redefining the boundaries of generative content. Together, we are shifting the paradigm from passive observation to active engagement, unlocking new creative possibilities across gaming, entertainment, education, and various other domains.

Transform Financial Services with CapcoAt Capco, we are at the forefront of management consulting and software development, collaborating with prominent banks and insurance firms throughout Western Europe. Our innovative mindset combined with a team-oriented culture makes us an exceptional environment for professionals eager to influence the future of financial services technology.Curious about our workplace culture? Discover more at: Capco Careers Slovakia

About the RoleJoin Rossum, where we leverage cutting-edge machine learning and an intuitive user interface to streamline document processing and enhance efficiency across various industries. Our AI Research Team develops proprietary neural architectures that drive our production systems, enabling the processing of millions of documents weekly for clients globally.We are seeking a talented Senior AI Research Engineer to become a pivotal member of our AI Research Team (R&D). In this role, you will advance the field of document understanding through the training of innovative models from inception to realization, and by creating research prototypes and solutions that significantly enhance our product's capabilities.You will work at the intersection of groundbreaking global research and our internal model development, directly impacting our long-term model strategy and technical roadmap, enabling successful concepts to swiftly transition into scalable systems for customer use.As part of a collaborative team of seasoned researchers and engineers, you will work closely with Product and AI Platform Teams within a shared monorepo, fostering rapid experimentation, continuous delivery, and tangible customer impact.What You'll DoYou will be a leading force in shaping Rossum's document understanding strategy, managing comprehensive research initiatives while guiding the evolution of our models and platforms.Key Responsibilities Include:Lead research projects spanning deep learning, NLP, computer vision, and multimodal systems — integrating insights from global research with in-house innovation to create proprietary, production-ready models for Rossum.Design and execute innovative experiments with a proactive mindset, rapidly prototyping while evaluating deployment considerations to ensure real-world impact — focusing on inference cost, latency, robustness, and reliability.Manage large-scale NLP and vision training systems, overseeing architecture design, distributed training, and in-house benchmarks to align critical metrics with product needs.Utilize top-tier research infrastructure, including high-performance GPU clusters and large-memory machines, to conduct ambitious experiments at real-world scale.Influence Rossum’s technical roadmap by pinpointing high-impact research directions and driving their development from concept to customer implementation.Mentor and guide junior researchers and engineers, fostering a culture of learning and innovation within the team.

Job DescriptionJoin Terry Soot Management Group (TSMG), a pioneering field data collection company established in 2017, specializing in gathering data where automation falls short. We provide meticulous data collection services that include counting features, capturing images and videos, recording audio, and scanning areas to ensure you have every detail necessary for informed decision-making. Our dedicated teams are located throughout Europe and North America, ready to tackle new challenges.Project ObjectiveThe primary objective of this project is to verify the geolocation of businesses.Key ResponsibilitiesAs a Field Data Collection Specialist, you will receive specific addresses to visit each day. You will operate a device equipped with a targeted application, making this role ideal for those who are energetic and enjoy traveling.Project DurationThis is an ongoing project with no defined end date, providing a great opportunity for continuous work as we expand rapidly.Work ScheduleWork hours are Monday to Friday, 8 hours per day, totaling 40 hours per week.