Data Scientist II - Platform Mission

Join Spotify as a Senior Machine Learning Engineer, specializing in our Generative UI Platform. In this pivotal role, you will leverage your expertise in machine learning to enhance user experiences by developing cutting-edge generative models. You will collaborate with cross-functional teams to innovate and implement solutions that redefine how users interact with our platform.

Join our dynamic team at Spotify as a Fullstack Engineer focusing on our innovative Generative UI Platform. In this role, you will leverage your full-stack development skills to create user-centric applications that push the boundaries of digital experience. We are looking for a passionate engineer who thrives in a collaborative environment and is eager to tackle complex challenges while enhancing our platform's capabilities.

Join our dynamic team at Devoteam as a Senior to Principal Machine Learning / AI Engineer, where your expertise in cutting-edge technology will drive innovation and excellence. You will collaborate with talented professionals to develop and implement advanced machine learning solutions that address real-world challenges.

Join Us as a Senior Machine Learning Engineer!Be a Part of AI & Data TransformationAt Datatonic, we proudly serve as Google Cloud's premier partner in AI, spearheading transformative changes for leading enterprises. Our dedication to pushing the technological envelope is evident through our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform. Collaborating with us empowers clients to future-proof their operations, glean actionable insights, and maintain a competitive edge in an ever-evolving landscape.Your Role and ResponsibilitiesAs a Senior Machine Learning Engineer, you will excel in crafting elegant code in Python and take immense pride in your deliverables. You will champion high-quality engineering practices and best practices in both production software and rapid prototyping. While this role is hands-on, we seek candidates eager to lead projects and engage actively in client discussions. You will build trusted relationships, creatively apply machine learning to solve real-world challenges, scope projects, and ensure seamless delivery.Key ResponsibilitiesRequirements Translation: Analyze ambiguous requirements to develop models that tackle real-life challenges.Data Science Expertise: Execute ML experiments using relevant programming languages and machine learning libraries.Generative AI: Harness generative AI to create groundbreaking solutions.Optimization: Enhance machine learning solutions for optimal performance and scalability.Custom Implementation: Develop tailored machine learning code to address specific requirements.Data Engineering: Facilitate efficient data flow between databases and backend systems.MLOps: Automate ML workflows, emphasizing testing and deployment practices.

Join Modal as a Forward Deployed Engineer specializing in Machine Learning, where you will become a pivotal member of our innovative team. You will work closely with clients, leveraging your expertise to implement and optimize machine learning solutions that drive business success.

Role Overview H&M Group is looking for a Lead Machine Learning Engineer in Stockholm. This role guides a team of engineers and shapes the company’s approach to artificial intelligence and machine learning. The position focuses on developing new algorithms and deploying machine learning solutions that improve the customer experience and support data-driven decisions across the business. What You Will Do Lead and mentor a team of machine learning engineers Design and develop advanced algorithms for real-world applications Implement machine learning models that impact customer experience Support data-driven strategies and help optimize business processes Location This position is based in Stockholm.

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that emulates human thought processes.Our innovative architecture (BDH) surpasses traditional Transformer models, offering enterprises unparalleled insight into model functionality. By merging our foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend incremental improvements and achieve truly contextualized, experience-driven intelligence. Trust from esteemed clients such as NATO, La Poste, and Formula 1 racing teams underscores our impact.Guided by co-founder & CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers like CTO Jan Chorowski, who pioneered the application of Attention in speech and collaborated with Nobel laureate Geoffrey Hinton at Google Brain, and CSO Adrian Kosowski, a leading computer scientist and quantum physicist who earned his PhD at 20.Headquartered in Palo Alto, California, Pathway is supported by prominent investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model and a key researcher behind OpenAI’s reasoning frameworks.The OpportunityWe are seeking a talented Machine Learning DevOps Engineer with a strong background in cloud and compute cluster management, infrastructure scaling, and Linux administration. Our development, ML training, and production environments operate in the cloud, utilizing several major cloud service providers. Your role will be pivotal in managing and automating processes while scaling our infrastructure to meet the demands of our expanding team and production needs.Your ResponsibilitiesOptimize infrastructure for machine learning training and inference (e.g., GPUs, distributed computing).Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).Manage model versioning, ensuring reproducibility and traceability.Handle terabyte-scale datasets.Implement CI/CD practices tailored to machine learning.Monitor model performance and manage data drift in production.Collaborate with machine learning engineers, software developers, and platform teams.This role emphasizes the operationalization of machine learning models, guaranteeing scalability, reliability, and automation throughout the ML lifecycle.What We Are Looking ForStrong familiarity with Linux, shell scripts, and cluster configuration as foundational tools.Proficiency in workload management, containerization, and orchestration (e.g., Slurm, Docker, Kubernetes).Solid understanding of CI/CD tools and workflows (e.g., GitHub Actions, Jenkins).

Join Sana: Pioneers of AI for WorkAt Sana, we are at the forefront of artificial intelligence, dedicated to creating solutions that empower organizations to reach their objectives more efficiently. Our mission is to enable teams to access information effortlessly, automate mundane tasks, and learn without limits through agentic AI technology. As a proud part of Workday, our focus remains on enhancing human capabilities rather than replacing them.We offer two innovative products: Sana Agents, which facilitate seamless access to corporate applications and data, allowing AI agents to perform real tasks that amplify team productivity; and Sana Learn, an AI-enhanced learning platform that merges modern simplicity with intelligent features, including an AI tutor and interactive applications, transforming knowledge into actionable insights.Our team is comprised of talented engineers and designers from top-tier companies like Google, Spotify, Apple, and Databricks, all driven by a passion for technical excellence and rapid development. Currently, our tools are utilized by over a million users across leading enterprises, and we are just getting started!Your Role: Senior Platform EngineerAs a Senior Platform Engineer, you will be responsible for the reliability, security, and scalability of Sana's platform, enhancing developer productivity. This position is ideal for engineers who excel in navigating cloud infrastructure, deployment, and tooling to facilitate team progress. Your work will encompass everything from multi-tenant scale-out to improving developer experiences, ensuring our platform is robust, secure, and enjoyable to utilize.Your ResponsibilitiesEnhance platform reliability, security, and scalabilityDesign and implement multi-tenant scaling (10-100x) and observability solutionsOversee incident response, performance analysis, and cost management initiativesDevelop and maintain CI/CD pipelines, testing infrastructure, and provisioning environmentsCollaborate with engineers across the platform to minimize obstacles and boost delivery speedIndicators of SuccessThe platform scales effortlessly with usage increases of 10-100x, supported by strong observability and incident managementSecurity and compliance are integral to our system architectureDeveloper productivity significantly improves, allowing teams to ship faster with fewer impedimentsCI/CD, testing infrastructure, and development environments are consistently reliable and efficient

About PathwayPathway is revolutionizing artificial intelligence with its pioneering post-transformer model that mimics human thought processes.Our groundbreaking architecture (BDH) surpasses traditional Transformer models, providing enterprises with comprehensive insights into model functionality. By integrating this foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental improvements and embrace genuinely contextualized, experience-driven intelligence. Trusted by prestigious entities like NATO, La Poste, and Formula 1 teams, we are at the forefront of technological advancement.Founded by complexity scientist Zuzanna Stamirowska, our leadership team includes AI visionaries such as CTO Jan Chorowski, who pioneered Attention in speech processing 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 20.With backing from esteemed investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model behind ChatGPT and a key figure at OpenAI, Pathway operates out of Palo Alto, California.The OpportunityWe are seeking a passionate Senior ML Infrastructure / DevOps Engineer who thrives on optimizing Linux environments, distributed systems, and GPU cluster scalability over traditional notebook usage. You will be responsible for the infrastructure that drives our machine learning training and inference workloads across diverse cloud platforms, managing everything from basic Linux setups to advanced container orchestration and CI/CD pipelines.Your role will be integral to the R&D team, focusing on production infrastructure, including clusters, networks, storage, observability, and automation. Your contributions will directly influence the speed and efficiency of model training, deployment, and iteration.Why This Role is UniqueManage and scale GPU-intensive clusters utilized daily by the R&D team for high-scale training and rapid inference.Design, build, and automate our ML platform, moving beyond the execution of predefined playbooks.Collaborate across multiple major cloud providers to tackle intriguing challenges in networking, scheduling, and cost/performance optimization at scale.Your ResponsibilitiesArchitect, operate, and scale GPU and CPU clusters for ML training and inference (Slurm, Kubernetes, autoscaling, queue management, quota management).Automate infrastructure provisioning and configuration using infrastructure-as-code (Terraform, CloudFormation, cluster tooling) and configuration management techniques.Create and uphold robust ML pipelines (data ingestion, training, evaluation, deployment) with strong assurances around reproducibility, traceability, and rollback capabilities.Implement and maintain monitoring and observability solutions to ensure maximum uptime and performance.

About UsAt Legora, we are dedicated to transforming the landscape of legal work. Our approach goes beyond merely creating solutions for lawyers; we collaborate with them to ensure our products meet their needs effectively. By working side-by-side with legal professionals, we aim to revolutionize the way legal tasks are accomplished.Our innovative, AI-powered workspace not only enhances productivity but also encourages legal professionals to ask insightful questions, unlocking new levels of understanding. We continually push the limits of legal technology, streamlining complex processes to make them smarter, quicker, and more human-centric. With our advanced tools, thousands of documents can be analyzed in mere minutes, and intelligent workflows are crafted in partnership with leading law practices, turning potential into reality.Currently, we are proud to serve prestigious firms such as Cleary Gottlieb, Goodwin, Bird & Bird, and Linklaters across more than 40 countries. Our growth strategy is intentional and deliberate; we prioritize rapid shipping, effective iteration, and scalable design.Joining Legora means becoming part of a team that strives for excellence and believes that the best way to achieve success is through collaboration. If you are passionate about building innovative solutions from the ground up, working alongside exceptional talent, and driving change in a fast-paced, impactful environment, this is the perfect opportunity for you.We’re not just shaping the future of legal tech — we’re defining it. Are you ready to join us in constructing the intelligent future of law?The roleAs a Platform Engineer at Legora, you will be part of a dynamic team dedicated to simplifying the development process. Your primary objective will be to enhance reliability, optimize performance, and establish a robust platform that can grow alongside the company. You will engage directly with infrastructure and backend systems, enabling teams to deliver their work more efficiently, securely, and intelligently.Your responsibilities will include:Designing and building core infrastructure and reliability frameworks utilized by all our engineering teams.Collaborating with various teams to structure their Site Reliability Engineering (SRE) initiatives, including observability, alerting, fault tolerance, and overall reliability.Proactively monitoring our infrastructure to ensure it is prepared for hyperscale operations and reliability.Participating in incident response and facilitating post-incident analysis and learning.Working with Pulumi primarily on Azure, but also managing AI deployments on AWS and GCP.

Join Us in Transforming Healthcare!At Tandem Health, we are revolutionizing the healthcare landscape by prioritizing clinicians. Our platform, conceived by healthcare professionals for their peers, is meticulously designed to address real-world challenges with intuitive medical documentation and workflows that genuinely enhance patient care.As a rapidly growing health-tech enterprise supported by leading investors, we are expanding our reach globally. We thrive on innovation, agility, and the belief that significant achievements stem from an exceptional team. If you are driven by the desire to make a positive impact, we would love to hear from you!Role OverviewYou are passionate about creating systems that function flawlessly in production environments. You understand that high-quality infrastructure goes beyond mere uptime; it's about empowering teams to build with speed, safety, and confidence.At Tandem, you will play a pivotal role in developing and enhancing the platform that shapes the future of healthcare in Europe. The systems you create will safeguard sensitive data while facilitating the AI-driven evolution of healthcare. Your contributions will be foundational as we rapidly scale our services across the continent.As part of a compact, highly skilled team, you will design, construct, and manage the infrastructure and core systems that power our products, including Kubernetes clusters and CI/CD pipelines, with a focus on security and PHI handling. You will take pride in ensuring that the code transition from commit to production is seamless, and that the systems you create are robust, observable, and sophisticated.If you are an engineer who takes quiet satisfaction from knowing that everything just works, and you value precision, security, and clarity, this role is tailor-made for you.

Join our dynamic team as a Lead Platform Engineer at hmgroup in the vibrant city of Stockholm. In this pivotal role, you will spearhead the development and optimization of our platform architecture, ensuring scalability and performance across our services. You will collaborate with cross-functional teams to design innovative solutions that meet our customers' needs.Your expertise will guide our engineering practices, fostering a culture of continuous improvement and excellence. If you are passionate about building robust platforms and leading talented engineers, this position is for you.

Join Us as a Platform Engineer at Lovable, where we are driving the future of AI software engineering. We are seeking a talented platform engineer to architect and scale our infrastructure, ensuring it meets the immense demands of our innovative software solutions. Why Choose Lovable?At Lovable, we empower individuals and businesses to create software using simple English language. From solo entrepreneurs to Fortune 100 companies, millions of users rely on our platform to turn their ideas into tangible products rapidly. We are at the forefront of a revolutionary change in software development, providing you with an exceptional opportunity to redefine digital creation. With over 2 million users across more than 200 countries, Lovable is just beginning its journey of transformation.Our small, highly skilled team is based in Stockholm, and we prioritize extreme ownership, rapid execution, and collaborative teamwork without ego. We are looking for individuals who are passionate, quick to deliver, and eager to make a significant impact.Ideal Candidate ProfileExtensive experience in building production infrastructure as a Platform Engineer, Site Reliability Engineer, or a similar role.Proficient in service orchestration, networking, cloud infrastructure, and modern scalable infrastructure practices gained from experience in a global tech startup or scale-up.Strong programming skills in relevant languages.Ability to navigate ambiguity and address challenges as they arise.A keen focus on security, stability, and performance, with the ability to make informed trade-offs.Located in Stockholm or willing to relocate, as this is an on-site role requiring attendance five days a week.Your ResponsibilitiesIn summary: You will own and scale the platform that enables everyone to utilize AI in their engineering work.Design, build, and maintain systems crucial for our AI product, including:A secure and scalable runtime environment for running AI agent workloads.A high-throughput sandbox scheduler spanning multiple cloud providers.Fortify our infrastructure against failures, downtime, and performance slowdowns.Support our growth, ensuring our infrastructure remains robust and does not become a bottleneck.

Overview: We are on the lookout for a talented Platform Engineer to elevate and expand the developer experience at Lovable. This pivotal role involves managing essential components of our technology stack, ensuring that our engineering processes are efficient, effective, and distinctly more Lovable.Why Join Lovable?At Lovable, we empower anyone to create software using straightforward language. From individual entrepreneurs to Fortune 100 companies, millions utilize Lovable to convert raw concepts into tangible products swiftly. We are spearheading a revolutionary shift in software development, presenting you with an unmatched chance to redefine how the digital realm operates. With over 2 million users across more than 200 countries, Lovable is already making an impact, and we’re just beginning our journey.As a compact yet highly skilled team based in Stockholm, we are committed to building a company that will define the next generation. We cherish extreme ownership, rapid execution, and ego-free collaboration. We are eager to connect with individuals who are passionate, fast-paced, and ready to make a significant impact.Candidate ProfileProven programming expertise with a history of enhancing developer velocity and system reliability.7+ years of experience in a platform team focused on developer experience (observability, CI/CD, application frameworks, productivity tools, etc.).Experience writing code and developing tools to support scaling engineering organizations.Familiarity with Docker, Kubernetes, and contemporary infrastructure practices.A problem-solver who thrives on challenges and delivers high-impact systems quickly.Comfortable with ambiguity and adept at resolving issues as they arise.Strong awareness of security, stability, and performance, and skilled at making informed trade-offs.Must be located in Stockholm or willing to relocate, as this is an on-site position requiring presence five days a week.ResponsibilitiesIn brief: Take charge of and scale the developer experience at Lovable, positioning our engineering teams among the most efficient globally.Organize and structure our codebase.Integrate or create application frameworks to support the expanding engineering team and codebase.Lead the development of our observability stack, from code instrumentation to data presentation.

TL;DR - We are seeking talented Data Platform Engineers to architect, construct, and sustain our comprehensive declarative data platform, facilitating seamless data ingestion, transformation, and utilization across Lovable. Your passion for empowering teams will drive you to ensure our data systems are scalable, reliable, secure, and user-friendly.Why Join Lovable?At Lovable, we democratize software development, enabling anyone – from solo entrepreneurs to Fortune 100 firms – to transform their ideas into tangible products swiftly. We are leading a groundbreaking evolution in software creation, offering you a unique chance to reshape the digital landscape. With over 2 million users across 200+ countries, Lovable empowers individuals to launch businesses, automate tasks, and manifest their visions. And this is just the beginning.Our tight-knit, highly skilled team is dedicated to building a pioneering company from our base in Stockholm. We prioritize extreme ownership, rapid execution, and collaborative spirit. We seek individuals who are genuinely passionate, thrive on fast-paced delivery, and are eager to make a significant impact.Your Role:Design and maintain our core data infrastructure, including data lakes, warehouses, orchestration, observability, and governance.Collaborate with various platform and domain teams to architect data pipelines and implement declarative configurations for ingestion and transformation.Ensure that data quality, lineage, and security standards are integrated into all workflows.Work alongside Analytics Engineers to establish modeling conventions and enforce schema governance.Implement CI/CD pipelines for data systems while assisting with cost optimization and performance enhancements.Define best practices for our data platform and support ongoing initiatives.

Are you passionate about cloud technologies and eager to drive innovation? Join Sopra Steria as a Cloud Native Platform Engineer! In this role, you will work with cutting-edge technologies to design and implement scalable cloud solutions, ensuring optimal performance and reliability.We are looking for an individual with a strong background in cloud architecture and platform engineering who can collaborate with teams to deliver high-quality services. Your expertise will be crucial in enhancing our cloud infrastructure and supporting our clients in their digital transformation journeys.

Join Sopra Steria as an AI Engineer in the vibrant city of Stockholm, where you'll have the opportunity to contribute to cutting-edge projects that leverage artificial intelligence to drive innovation and efficiency. You will work closely with a talented team of engineers and data scientists to develop intelligent solutions that address complex challenges and enhance business processes.

Join Us in Transforming Healthcare!At Tandem Health, we are pioneering a new approach to healthcare that prioritizes the needs of clinicians. Our platform, developed by healthcare professionals for healthcare professionals, is rooted in a profound understanding of real-world challenges, featuring intuitive medical notes and workflows designed to enhance patient care.As a rapidly growing health-tech company backed by leading investors, we are expanding our footprint globally. We embrace a fast-paced environment that values curiosity and innovation, believing that meaningful impact starts with an exceptional team. If you are driven by a desire to make a difference and thrive on innovation, we want to hear from you!Role OverviewIf you are passionate about making systems work and enjoy the intricacies of infrastructure, this role is for you! You may have spent time experimenting with server setups, hosting, or exploring how infrastructure operates in real-world situations.At Tandem, you will become part of a small, highly skilled platform team dedicated to constructing the infrastructure that will drive the future of European healthcare. Your eagerness to learn and your hands-on approach are what we place the most value on—it's perfectly fine if you don’t know everything from the start.This position emphasizes infrastructure development. You will collaborate with seasoned engineers, gradually taking responsibility for various components of our platform and facilitating the team's progress by enhancing core infrastructure operations. Throughout this journey, you'll acquire knowledge on building systems that are reliable, secure, and scalable within a highly regulated industry.If you have a knack for troubleshooting and optimizing systems, and you are committed to continual improvement, you'll find an excellent opportunity for growth here.Your ContributionsAssist in constructing and maintaining the cloud infrastructure that underpins Tandem’s products.Engage with Kubernetes-based environments to refine service deployment and operations.Contribute to CI/CD pipelines, streamlining and enhancing deployment reliability.Participate in implementing infrastructure-as-code utilizing tools such as Terraform and Helm.Enhance system observability, monitoring, and alerting mechanisms.Gradually take ownership of smaller infrastructure components and assist in scaling them.Collaborate closely with senior engineers to learn best practices in reliability, security, and performance.

About SanaAt Sana, we are pioneering the development of superintelligent AI for the workplace. Our vision is to empower organizations to achieve their goals with greater speed and efficiency by enabling seamless access to knowledge, automating repetitive tasks, and facilitating continuous learning through advanced agentic AI. As a proud member of the Workday family, we aim to create AI technologies that enhance human capabilities rather than replace them.Our mission is realized through two innovative products: Sana Agents, which offer a streamlined interface for accessing your organization's applications, knowledge, and data, allowing AI agents to perform real work and enabling teams to manage information at an unprecedented scale; and Sana Learn, an AI-driven learning hub that merges the ease of modern educational platforms with smart features such as an AI tutor, automated content generation, and interactive applications, transforming knowledge into actionable insights.We are a dynamic, product-focused team of engineers and designers with backgrounds at leading companies such as Google, Spotify, Apple, and Databricks. United by our commitment to technical excellence and rapid innovation, our tools currently support over a million users in enhancing their learning and work processes across numerous top-tier enterprises, and our journey is just beginning.About the RoleIn this role, you will play a pivotal role in developing the foundational agent infrastructure that drives Sana's mission to integrate superintelligence into the workplace. This is a unique opportunity to shape how AI agents strategize, reason, and execute tasks in complex enterprise environments—creating systems that effectively manage real-world complexities at scale. Your work will span agent architecture, context management, tool integration, and production infrastructure.In This Role, You WillDesign multi-step planning, orchestration, and tool routing systems for agents.Develop code generation agents and implement sandboxed code execution.Engineer strategies for memory, state management, and context grounding.Optimize for latency, quality, and cost in agent execution.Create safe fallback mechanisms, ensure graceful degradation, and establish robust error handling protocols.Collaborate with platform and search teams to build reusable agent infrastructure.Set safety standards and quantifiable quality benchmarks.What Success Looks LikeAgent architectures are resilient, dependable, and enterprise-ready.Context and memory management strategies are efficient and effective.