Machine Learning Engineer for Cloud Platform

Join Our Innovative TeamAt Prior Labs, we are revolutionizing the way organizations interact with structured data, the cornerstone of science and business. While foundation models have significantly advanced the fields of text and image processing, structured data has largely been overlooked. We are seizing a $600 billion opportunity to transform how scienti…

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.

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.

Why Join NebiusNebius is at the forefront of cloud computing, empowering the global AI economy. We provide our clients with essential tools and resources to tackle real-world challenges and revolutionize industries without incurring hefty infrastructure costs or needing to develop extensive in-house AI/ML teams. Our team operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and innovative leaders and engineers in the industry.Our Work EnvironmentHeadquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a worldwide presence with R&D centers across Europe, North America, and Israel. Our diverse team of over 1,400 employees includes more than 400 highly skilled engineers with deep expertise in both hardware and software engineering, complemented by an in-house AI R&D team.About the RoleAs part of Nebius Cloud, which operates one of the largest GPU clouds globally—utilizing tens of thousands of GPUs—Token Factory is dedicated to building a high-performance inference and fine-tuning platform that pushes foundational models to their hardware limits. Our commitment is to enhance throughput, reduce latency, and optimize cost-per-token across our expansive GPU resources.Current Projects You Could Contribute To:Inference Optimization: Identify bottlenecks in LLM inference to accelerate production speed. Maximize performance for a variety of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).Inference Engine Support: Implement innovative speculative decoding architectures, optimize components of different LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.Low Precision Training & Inference: Design and operationalize low-precision training (FP8, NVFP4/MXFP4) and inference pipelines to achieve significant improvements in throughput and cost efficiency.

Location Flexibility:Positions are available in London, Berlin, or Paris, with relocation support provided as needed.Your Next Career MilestoneJoin Trade Republic, Europe's largest savings platform, trusted by over 10 million customers managing more than €150B in assets across 18 countries. We are on a mission to revolutionize financial accessibility, empowering everyone to build wealth through user-friendly, secure, and free financial systems.As a Cloud Platform Tech Lead, you will collaborate with a talented team and cutting-edge technology to create a brighter financial future for millions.About Platform EngineeringOur Platform Engineering team is essential to Trade Republic's engineering success. With a focus on building scalable platforms that cater to a Europe-scale bank, we support our internal engineers by creating in-house control planes for managing the bank's infrastructure. Our ~50-person team is dedicated to empowering product engineers to operate swiftly and independently.We design self-service platforms, golden paths, and curated tools that allow over 400 engineers to deploy with confidence. Our work, which includes Kubernetes fleet management, CI/CD pipelines, and a proprietary Developer Hub built on Backstage, is foundational to every trade, savings plan, and card payment made on our platform.Cloud Platform TransformationOur cloud infrastructure spans multiple AWS accounts across development, staging, and production environments, supporting regulated financial services in 18 European markets. Currently managed through Terraform, we are strategically transitioning to programmable control planes utilizing Go-based systems and tools like Pulumi and Crossplane. This shift aims to enhance cloud management not just in speed but in quality, ensuring compliance, security, and cost-effectiveness are integrated into our systems by default.Our established patterns, such as Kubernetes fleet management with Crossplane, Sveltos, FluxCD, and ClusterAPI, alongside our Temporal-backed control planes for database and messaging management with Pulumi, will now extend to AWS account management, IAM governance, organizational structure, and networking.

About UsHelsing is a cutting-edge AI company dedicated to advancing defense technologies. Our mission is to safeguard democratic values and ensure that societies can make autonomous decisions while upholding ethical standards. We are committed to responsible technology development and deployment, particularly in the realm of AI.Our team comprises driven engineers, AI experts, and client-facing program managers united by a common purpose: tackling the most challenging and significant problems. We foster a culture of transparency and encourage open discussions surrounding the ethical implications of technology in defense.The PositionAs an AI Research Engineer at Helsing, you will be at the forefront of innovating autonomous decision-making systems for defense. Your work will encompass a wide range of AI applications, including extensive data processing, reinforcement learning agent training, and the development of large-scale foundational models. Collaborating within a diverse team, your responsibilities will include architecting and implementing robust tools and platforms that drive these advancements. You will focus on abstracting complex distributed systems to enhance training efficiency and developer productivity. We seek engineers who can effectively blend machine learning with systems engineering to create scalable solutions.Key Responsibilities:Enhance our integrated deep learning frameworks, built on PyTorch, to make them efficient and user-friendly across various applications.Expand our infrastructure and tooling to facilitate faster and larger-scale distributed training.Devise data strategies to manage extensive datasets effectively.

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 Internship Program in Berlin!We are excited to announce a full-time, in-person internship opportunity in our Berlin office, lasting between 12 to 24 weeks.Your ResponsibilitiesDrive the advancement of search quality utilizing various models, data, tools, and innovative techniques.Train and fine-tune large-scale deep learning models using PyTorch, employing distributed training methods (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models.Engage in research on representation learning, exploring contrastive learning, multilingual capabilities, evaluation methodologies, and multimodal modeling for enhanced search and retrieval.Design and refine RAG pipelines for effective grounding and answer generation.QualificationsSolid understanding of search and retrieval systems, including quality evaluation metrics and principles.Demonstrated proficiency with PyTorch, particularly in distributed training and performance optimization for large models.A keen interest in representation learning, covering areas such as contrastive learning, dense and sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization, and robust evaluation methods.A publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR) is a plus.

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.

Join Our Innovative TeamAt Prior Labs, we are pioneering the development of foundation models that adeptly comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the fields of text and image processing, structured data has largely been overlooked. We are seizing the opportunity to address this $600 billion market and fundamentally transform how organizations manage scientific, medical, financial, and business data.Our Achievements: We stand at the forefront of structured data machine learning. Our TabPFN v2 model, featured in Nature, has set a new benchmark in tabular machine learning. Since its launch, we have enhanced our model capabilities over 20 times, achieved over 2.5 million downloads, garnered more than 5,500 stars on GitHub, and are witnessing rapid adoption across both research and industry sectors. We are currently developing the next generation of tabular foundation models and actively commercializing them in collaboration with global enterprises in Europe and the U.S.About Our Team: We are a compact, highly selective team of over 20 engineers and researchers, chosen from more than 5,000 applicants. Our team includes talents from industry giants like Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and supported by renowned AI researchers, including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet our exceptional team here.Looking Ahead: With backing from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting opportunity to join us and contribute to shaping the future of structured data AI. Read our manifesto.Your ImpactIn this role, you will do more than simply deploy models; you will play a crucial role in delivering transformative solutions that redefine how organizations leverage data. You will work at the intersection of advanced AI technology and practical applications, collaborating closely with our key strategic partners.

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.

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.

About StravaStrava is the premier application for active individuals. With a community of over 180 million athletes spanning more than 185 countries, Strava goes beyond simply tracking workouts; it serves as a platform for people to achieve their goals together, whether that's forming new habits or reaching personal bests. No matter your sport or how you track it, Strava is your go-to app. Connect with your crew, conquer your objectives, and track every effort with purpose. Embark on your journey with Strava today.Our mission is clear: we aim to inspire individuals to lead their most active lives. We believe in the transformative power of movement to connect people and propel them forward.As part of our growth, Strava is expanding its mapping and data processing team. We are in search of a highly motivated and experienced cloud platform and geospatial engineer to enhance our team with their expertise.We operate under a flexible hybrid model, requiring you to be on-site in our Berlin office for more than half of your working time — approximately three days a week.

Delivery Hero SE seeks a Principal Machine Learning Engineer to join the Vendor Data Team in Berlin. This position centers on transforming vendor data into insights that support business operations and strategy. Role overview The Principal Machine Learning Engineer will lead efforts to design and deploy machine learning models tailored to vendor data. The goal is to create tools and systems that translate complex information into practical recommendations for the company. What you will do Lead the design and development of machine learning solutions focused on vendor data. Guide the team in using advanced technologies to address real business needs. Convert complex datasets into actionable recommendations that improve operations and support decision-making. Location This role is based in Berlin.

At JetBrains, we are passionate about code. Since our inception in 2000, we have dedicated ourselves to developing the strongest and most effective developer tools available. Our innovative solutions automate routine checks and corrections, accelerating production and empowering developers to innovate, explore, and create.About the InitiativeJetBrains is transforming from standalone developer tools to a unified, AI-native platform for software development.AI is evolving from a mere assistant within the editor to an essential participant in software planning, building, reviewing, and operating across teams and organizations. This evolution presents new challenges that cannot be addressed by individual tools alone, including governance, security, cost management, observability, and cooperation between humans and autonomous agents.Our mission is to establish a platform that facilitates the adoption of AI in software development in a structured, scalable, and economically efficient manner, without confining companies to closed ecosystems.We are constructing a foundation that unifies developer workflows, team collaboration, and organizational oversight into a coherent system.This platform will act as the execution and governance layer for AI-driven development, tightly integrated with developer tools while designed for cross-team, product, and environmental compatibility.This initiative represents a long-term strategic investment for JetBrains and is a cornerstone of our vision for the future of software development. The RoleWe are seeking a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to spearhead significant enhancements to the development experience across the JetBrains Cloud Platform (JCP).This position is pivotal in enhancing the productivity of JCP engineers through improvements to build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will oversee the developer experience from the local development, build, and testing stages to the transition of code through CI to production. Given the rapid growth of this platform, numerous workflows and processes are still in development. You will define what an exceptional development experience entails and guide the organization toward achieving it. As part of our team, you will:Develop and implement strategies for enhancing the developer experience across the entire JCP platform.Optimize build systems (such as Gradle and Nx) for improved speed, caching, and reliable reproducibility at scale.Establish AI development pipelines to facilitate innovation.

Transform the Travel ExperienceJoin GetYourGuide in reshaping the travel landscape by connecting individuals to extraordinary experiences around the globe. Since our inception in 2009, millions have relied on us to book unique activities across over 12,000 cities. With our headquarters in Berlin and 16 additional local offices worldwide, we're dedicated to making travel memorable.Are you ready to be part of a diverse community of over 850 passionate explorers committed to revolutionizing the travel experience? Visit our careers page to learn more.Our Team's MissionSince 2020, GetYourGuide has developed a Machine Learning (ML) Platform team focused on equipping our Data Products team with essential tools and best practices for building and maintaining robust, production-ready ML/AI systems. Recently rebranded as the AI Platform Team, our mission is to empower diverse teams and various ML/AI use cases through self-service tools and automation.As a Senior MLOps Engineer, you will become a vital member of our AI Platform Team, significantly impacting all our data products. Collaborating closely with Data Products teams, you will help build systems that facilitate the deployment of ML/AI algorithms. If you're eager to contribute to a product utilized by millions of travelers globally, we invite you to continue reading.

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.

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

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 the Scout24 Team!Scout24, the proud home of ImmoScout24, has been at the forefront of transforming the real estate market in Germany and Austria for over 25 years. Our mission is to create a digital ecosystem that connects homeowners, seekers, and agents seamlessly. We understand that finding the perfect home is one of life's pivotal decisions—just like choosing your career! #WorkingatScout24 means being part of a vibrant and inclusive team composed of approximately 1,100 professionals from 58 different nationalities. We celebrate diversity and individuality while fostering a culture of openness and authenticity that enables personal growth and learning. We believe that mistakes are opportunities for innovation and growth. Together, we take proactive steps towards improvement, embracing responsibility, and engaging in respectful discussions about our successes and challenges because we are #oneteam.If this resonates with you, we would be thrilled to have you on board! Even if you don’t meet every requirement, we welcome the unique value you can bring to our team. Grow with us!Beyond our supportive culture, we offer an array of fantastic benefits that make Scout24 a remarkable workplace!