Senior Machine Learning Scientist

Join Intercom, the leading AI Customer Service company, dedicated to empowering businesses to deliver exceptional customer experiences.Our AI agent, Fin, stands out as the most sophisticated customer service AI solution available, enabling companies to provide constant, flawless service and revolutionize their customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite, which offers AI-enhanced support for intricate or high-touch inquiries that necessitate human intervention.Founded in 2011, Intercom is trusted by nearly 30,000 global businesses and is committed to redefining customer service standards. Our core values inspire us to innovate relentlessly, operate with speed and intensity, and consistently provide remarkable value to our clients.We believe Berlin is an ideal city for those who share our passion for speed and innovation. The city boasts a unique combination of deep technical expertise and a vibrant creative culture, making it a hub for top-tier talent eager to collaborate on ambitious projects. With close ties to our R&D centers in Dublin and London, Berlin is where the best minds come together to thrive.As we aim to expand our team by hiring 100 professionals across engineering, AI, data science, product, and design over the next year, this is an exciting opportunity to be among the pioneering R&D talents in the region and leave a lasting mark as we develop the world's leading customer agent.What’s the Opportunity?The Machine Learning team at Intercom is at the forefront of defining new ML features, researching cutting-edge algorithms and technologies, and swiftly delivering prototypes to our customers.We are a highly product-focused team, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions within weeks of successful offline testing.Our passion for machine learning drives us to explore and productize everything from conventional supervised models to advanced unsupervised clustering algorithms and innovative transformer neural network applications. We rigorously test and assess the real customer impact of every model we deploy.What Will I Be Doing?Identify opportunities where ML can generate value for our customers.Determine the optimal ML framing for product challenges.Collaborate with team members and Product and Design stakeholders.

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.

Role Overview Reprisk is hiring a Senior Machine Learning Engineer in Berlin. This position focuses on building and improving machine learning systems that support risk management products. The role centers on strengthening data processing and improving predictive models used throughout the company.

Join our dynamic Ads & Monetization team as a Senior Data Scientist, where you'll play a pivotal role in developing advanced ranking, pricing, and bidding systems for our advertising platform. If you're passionate about harnessing machine learning to tackle marketplace monetization challenges across Bolt's extensive user base of over 200 million, we invite you to contribute your expertise to impactful projects.With a presence in more than 50 countries, Bolt is among the fastest-growing tech companies in Europe and Africa, driven by the talent and dedication of our remarkable team. We are committed to fostering an inclusive environment that welcomes diversity in all its forms, including race, color, religion, gender identity, sexual orientation, national origin, age, or ability. Our mission is to create cities designed for people, not cars, and we need your help to achieve this vision!As the first dedicated Data Scientist for Ads & Monetization, you will lead the data science roadmap, creating automated pricing and bidding engines that maximize value for both advertisers and users while integrating sponsored content into our existing machine learning ranking systems.

Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.

Join Almedia, a dynamic and innovative company where ambition meets opportunity. As we strive to become Germany’s next bootstrapped unicorn, we are proud to be recognized as Europe’s third fastest-growing company in 2025 according to the FT1000.At Almedia, we are revolutionizing the marketing landscape by enabling our vast community of over 60 million users to earn rewards for interacting with our advertisers' products, providing a unique approach to user acquisition for major global brands.Machine Learning EngineerIn this pivotal role, you will be responsible for the design, development, and scaling of production-grade machine learning solutions that drive the innovation of Almedia’s offerings and support our growth trajectory.This is a hands-on position where you will actively engage in coding, development, and deployment of solutions.Key Challenges You Will Tackle:Creating and optimizing user reward systems tailored to player behavior and market trends.Spearheading the development of personalized, real-time reward mechanisms.Identifying and addressing underperforming reward initiatives and their underlying issues.Your Responsibilities Include:Overseeing the complete delivery lifecycle: develop, deploy, and optimize scalable solutions and services.Providing technical guidance on ML projects, upholding best practices and ensuring high coding standards.Aligning technical capabilities with business goals to capitalize on high-value opportunities.Utilizing advanced statistical and causal inference techniques to secure robustness and reliability in solutions.Collaborating with product and engineering teams to convert business challenges into predictive, data-driven solutions.Qualifications Required:Demonstrated expertise in building, deploying, and maintaining production-level solutions and services, preferably in adtech or high-scale environments.Solid understanding of statistical analysis (A/B testing, regression, probability).Proficient in programming with Python and SQL, with practical experience in cloud technologies.Proven ability to mentor and guide ML engineers and cross-functional colleagues.Excellent communication skills and a collaborative mindset.

Billie builds Buy Now, Pay Later (BNPL) solutions designed for B2B companies. The team aims to make business transactions simpler and more efficient, using proprietary machine learning risk models, digitized operations, and a scalable technology platform. Billie positions itself as a deep-tech company focused on seamless financial products for business clients. Role Overview The (Senior) Data Scientist for Fraud Prevention joins the Decision Science group in Berlin. This role centers on designing and deploying machine learning models to reduce fraud risk, directly supporting Billie's profitability. The work spans the full modeling lifecycle, from hypothesis testing to rolling out production models that analyze debtor behavior and spot new fraud patterns. What You Will Do Develop and execute anti-fraud strategies, setting priorities to deliver high-quality, production-ready models. Apply expertise in quantitative analysis, data mining, and advanced machine learning to model debtor behavior, assess risk, and refine Billie's real-time decision engine. Work closely with data engineers, software engineers, analysts, and product managers to improve decision logic and bring in new data sources. Lead the deployment and operationalization of machine learning services, collaborating with Engineering to define infrastructure needs such as containerization and event-driven systems. Mentor junior team members, supporting a culture of technical rigor, experimentation, and strong coding standards. Translate technical findings into clear, actionable insights for stakeholders, using data storytelling to influence business decisions.

Role Overview Delivery Hero SE is looking for a Senior Software Engineer focused on Machine Learning to join the quick commerce group in Berlin. This role centers on building and refining machine learning solutions that support and improve our rapid delivery operations. What You Will Do Design, implement, and optimize machine learning algorithms and models for quick commerce applications. Work closely with cross-functional teams to translate business needs into technical solutions. Apply machine learning expertise to boost operational efficiency and enhance customer experience. Contribute to projects that help Delivery Hero respond quickly to changing market demands. About the Team Join a group of engineers and specialists dedicated to advancing Delivery Hero’s quick commerce services. Collaboration across teams is a core part of the work, with each member’s input shaping the direction and impact of our products.

Join Bolt as a Senior Data Scientist and lead the design of our next-generation campaign optimization systems! In this pivotal role, you will develop and scale the algorithms that identify target users and determine the most effective incentives, ensuring optimal investment efficiency. If you have a passion for applying Machine Learning and Causal Inference to create impactful solutions, we want you on our team!About Us:With over 200 million users across more than 50 countries, Bolt stands as one of the fastest-growing tech companies in Europe and Africa. Our success is driven by our dedicated team. We pride ourselves on fostering an inclusive environment that welcomes individuals from all backgrounds. Our mission is to redesign urban spaces for the benefit of people, not just vehicles. Join us in this transformative journey!Role Overview:As a Senior Data Scientist, you will take ownership of Bolt's campaign optimization systems from inception to execution. You will craft the

Delivery Hero is looking for a Senior Python AI Engineer to focus on logistics, data, and machine learning projects in Berlin. This position centers on developing AI-powered tools that support and improve delivery operations. Role overview This role involves designing and building applications using Python, with a strong emphasis on artificial intelligence and data science. The main goal is to create solutions that make logistics processes more efficient and help raise customer satisfaction. What you will do Develop and maintain AI-driven applications tailored for logistics challenges Apply machine learning techniques to optimize delivery workflows Work closely with teams to identify and solve data-related problems Requirements Extensive experience with Python Background in artificial intelligence, data science, and machine learning Ability to build solutions that improve operational efficiency

At Veeva Systems, we are dedicated to transforming the life sciences sector through innovative cloud solutions. Our mission is to expedite the delivery of therapies to patients, making a tangible difference in their lives. As one of the fastest-growing SaaS companies ever, we achieved over $3 billion in revenue last year and continue to expand our horizons. Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our operations. In 2021, Veeva made history by becoming a public benefit corporation, committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we value flexibility, allowing you to choose between working from home or in the office, ensuring you thrive in your preferred environment. Join us in revolutionizing the life sciences industry, as we strive to create a positive impact on our customers, employees, and the broader community.The RoleAt Veeva Data Cloud, we offer connected data solutions tailored for Life Sciences, enhancing insights and improving efficiency through a unified data architecture. Our AI team is at the forefront of developing a comprehensive suite of AI tools that empower our global product offerings. Collaborating with over 3,000 data stewards, we combine cutting-edge ML and AI models with human expertise to convert data into actionable insights, speeding up clinical innovation and improving patient access to essential treatments.We are seeking a talented Senior Machine Learning Engineer to join our cross-functional team of data scientists, engineers, and product managers, focusing on the productization and scaling of our AI tools.As a work-anywhere company, you will have the freedom to work from home or the office, emphasizing productivity in an environment that suits you best.

Join Our Dynamic AI Team:At SumUp, a leader in the fintech space, we are dedicated to providing an unparalleled customer experience. Our Global Operations team seeks a talented and enthusiastic Data Scientist to enhance our AI initiatives. You will play a pivotal role in developing models that directly impact customer interactions and the overall efficacy of our AI products.In this position, you will engage in the design, testing, and implementation of advanced machine learning and AI models. Your efforts will bolster our customer support framework by pinpointing areas for improvement and customizing experiences to meet merchant requirements.Your collaboration with diverse teams—including analysts, ML engineers, and product managers—will be essential in translating business objectives into actionable, measurable ML solutions. Your work will shape the future of our customer support, enabling SumUp to remain a customer-centric organization.

Machine Learning Engineer Company Overview At Orcrist Technologies, we are pioneers in building the Orcrist Intelligence Platform (OIP), a cutting-edge Kubernetes-based data intelligence system. Our platform is offered as either SaaS or a self-hosted/on-premises solution, including air-gapped deployments. We integrate data processing, machine learning, and artificial intelligence within a modern web application to empower mission-critical clients across both public and private sectors. Role Overview As a Machine Learning Engineer, you will spearhead the incubation and validation of new ML initiatives from conception to execution. In this innovative role, you will create adoption-ready prototype vertical slices that encompass data flows, model serving, evaluation, and seamless product integration. You will ensure clear handoff of artifacts to delivery teams so they can effectively productize and maintain them for the long haul. Key Responsibilities Develop ML prototype vertical slices that bridge data ingestion and processing with inference and end-user product outcomes (such as search functionalities, insights generation, and user experience flows). Establish evaluation harnesses and decision-making artifacts including datasets, baselines, and performance metrics (quality, latency, cost), along with actionable go/no-go recommendations. Package prototypes for seamless adoption: containerize services, specify reproducible deployment strategies, and create comprehensive runbooks/checklists. Collaborate with Research and Data Engineering teams for dataset curation, annotation processes, experiment tracking, and iterative improvements. Ensure operational credibility of prototypes through instrumentation, monitoring, and foundational security/compliance practices (including handling of personally identifiable information and provenance considerations). Candidate Profile A minimum of 3 years of experience in ML engineering or MLOps, with a proven track record of delivering tangible systems. Proficient in Python and experienced with PyTorch/Transformers; adept at transforming models from notebooks into deployable services. Hands-on experience with Kubernetes and containerization; capable of deploying and troubleshooting within production-like environments, including offline or air-gapped constraints. A strong evaluation mindset and monitoring discipline; effective in clearly articulating trade-offs. Eligibility to work in Germany; EU or NATO citizenship is preferred, and export-control screening applies. Preferred Qualifications Experience with GPU serving and optimization techniques (e.g., Triton/KServe, ONNX/TensorRT, batching, quantization). Familiarity with streaming and pipeline tools (e.g., Kafka, Ray, Beam/Flink/Spark) and integrations involving search, vector, and graph technologies. Proficiency in the German language (B1+) and/or experience working with regulated or public-sector datasets and workflows. What We Offer A modern ML stack designed to operate within real-world constraints: Kubernetes, streaming technologies, and hybrid/on-prem/air-gapped deployments. A remote-first work environment in Germany, complemented by regular workshops in Berlin, 30 days of vacation, and support for equipment and learning budgets. High impact: your prototypes will pave the path for groundbreaking solutions.

Role overview Delivery Hero SE seeks a Senior AI Scientist for the Vendor Data Team in Berlin. This role centers on Agentic AI, with a focus on enhancing how vendor data supports the company’s operations. What you will do Create AI-driven solutions to improve vendor data processes and capabilities Collaborate with colleagues from various backgrounds to design, build, and refine AI models Use expertise in artificial intelligence to address business challenges and inform important decisions

At SoundCloud, we empower artists and fans to connect through the power of music. Established in 2007, SoundCloud is a leading artist-first platform, enabling musicians to build and elevate their careers with cutting-edge tools, services, and resources. With a vast library of over 400 million tracks from 40 million artists, SoundCloud is shaping the future of music.We are actively seeking a Senior Machine Learning Engineer to join our Recommendations Experience team. This role focuses on developing machine learning-driven features that enhance personalization, engagement, and overall satisfaction for our users. In this position, you will leverage strong engineering principles while working across the entire technology stack, from data pipelines and APIs to real-time serving systems. The Recommendations team is responsible for deploying ML-powered features that connect over 200 million users with music tailored to their preferences.In this role, you will take ownership of features from conception to deployment: collaborating with Product and Design teams to understand user needs, architecting data pipelines that process billions of events, and building robust production ML systems that balance performance, cost, and user satisfaction. You will work with technologies such as BigQuery (handling trillions of rows), Airflow orchestration, real-time serving infrastructure (BigTable), and APIs, while engaging in continuous collaboration with Product, Design, Engineering, and Platform teams.Key Responsibilities:Develop, test, and productionize machine learning models.Make informed technical decisions factoring in cost, latency, complexity, and maintainability.Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to create reliable and scalable solutions.

Your RoleDevelop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.QualificationsDemonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.Our Data Science StackLanguages: Python, SQLLibraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNXBackend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQueryAI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.Bonus PointsContributions to open-source projects.Deployment of side/hobby projects.

Join Perplexity as a skilled Machine Learning Research Engineer, where you will play a pivotal role in developing cutting-edge search technologies focusing on retrieval and ranking mechanisms.Key Responsibilities:Proactively enhance search quality through innovative models, data strategies, tools, and other effective means.Design and construct essential components of our advanced search platform and model architecture.Create, train, and fine-tune large-scale deep learning models utilizing frameworks like PyTorch, with an emphasis on distributed training and hardware acceleration for retrieval and ranking.Engage in advanced research on representation learning, including contrastive learning and multilingual, multimodal modeling tailored for search and retrieval applications.Implement and deploy models effectively, ranging from boosting algorithms to large language models, ensuring scalability and performance.Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for accurate grounding and answer generation.Collaborate across Data, AI, Infrastructure, and Product teams to ensure swift and high-quality project delivery.

Join our innovative team at billie as a Data Scientist (w/m/d) in the vibrant city of Berlin. We are seeking a data-driven individual who is passionate about leveraging data to drive business decisions and improve outcomes. This role involves analyzing complex data sets, building predictive models, and collaborating with cross-functional teams to enhance our product offerings.

Axel Springer SE seeks a Staff or Senior Software Engineer specializing in Machine Learning to join the Berlin team. This role influences how the organization applies technology to reach and engage its audience. Key Responsibilities Design and improve machine learning algorithms for practical, real-world use. Collaborate with colleagues across departments to deliver meaningful projects. Contribute to the growth and enhancement of data-driven products and solutions. What We Value Creative approaches to solving complex technical challenges. Initiative and motivation to drive projects forward. Curiosity about new technologies and their practical applications. This position offers the chance to shape technology at Axel Springer SE and work on projects that reach a broad audience.

Join our dynamic team as a Senior Data Scientist specializing in Search Engine technologies. This role is pivotal in enhancing our search capabilities, using advanced analytics and machine learning to drive user engagement and optimize search results.You will collaborate with cross-functional teams to design and implement innovative solutions that enhance our product offerings. Your expertise will be crucial in analyzing large datasets and deriving actionable insights to improve overall performance.