Forward Deployed Software Engineer

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.

Join Us as a Forward Deployed Engineer! We are on the hunt for a talented and innovative Forward Deployed Engineer who is eager to help shape the future of AI-driven software development. As a pioneering member of our Forward Deployed Engineering team, you will collaborate closely with our most ambitious clients to turn their boldest ideas into tangible products. This is a rare opportunity to establish a new discipline from the ground up and tackle uncharted challenges with AI technology.Why Choose Lovable?At Lovable, we empower everyone to create software using plain English. From solo entrepreneurs to Fortune 100 teams, millions globally rely on Lovable to swiftly convert raw concepts into viable products. We are leading a transformative shift in software creation: moving from code-first to intelligence-first methodologies.With over 2 million users in more than 200 countries, Lovable is helping to launch businesses, automate workflows, and bring ideas to life. And we are just beginning our journey.Our compact yet highly skilled team in Stockholm is dedicated to building a groundbreaking company. We value ownership, speed, and collaborative spirit, and we are committed to creating something enduring.What Makes This Role Unique?This position transcends traditional software engineering roles.In this role, you will:Be the inaugural Forward Deployed Engineer at Lovable.Establish a new function that merges engineering, product development, customer success, and research.Collaborate with customers on developing innovative AI systems.Design product features informed by real-world usage and emerging trends.Shape our core product strategy and technical direction.If you aspire to create new categories rather than just enhance existing ones, this is the perfect opportunity.Qualifications We Seek5+ years of experience in developing and deploying full-stack software products.Expertise in modern frontend technologies (React/TypeScript) alongside strong backend development skills.Sound architectural thinking and experience with distributed systems.A knack for rapid prototyping, experimentation, and learning from real-world application.Excellent product intuition and a customer-centric approach.Comfortable navigating high-ambiguity and high-agency settings.If you possess experience in these areas, we would love to hear from you!

Join Us in Transforming Healthcare!At Tandem Health, we are dedicated to reshaping the healthcare landscape by prioritizing clinicians' needs. Our innovative platform, meticulously crafted by clinicians for clinicians, is based on deep insights into real-world challenges, featuring intuitive medical notes and workflows that enhance patient care.As a rapidly growing health-tech company supported by esteemed investors, we are expanding globally. We embrace a culture of curiosity and speed, believing that meaningful progress is achieved through an extraordinary team. If you are driven by the desire to create an impact and innovate, we invite you to connect with us!Role OverviewAs a Forward Deployed Engineer, you thrive on making solutions work effectively. Your focus is not on a particular technology, but rather on delivering real value to users.You will serve as the crucial link between our product demonstrations and real-world applications by clinicians, tackling obstacles that impede our product's impact. Your responsibilities will include debugging integrations, refining deployments, writing code to address unique challenges, and ensuring seamless operations within customer environments. The insights you gain will contribute to the evolution of our product offerings.The journey to making systems functional in practice can be complex and challenging, but that is where the excitement lies! The true achievement comes from satisfied customers, not merely from utilizing the latest development tools.In this position, you will witness firsthand how the technology you develop transforms healthcare practices, gaining a comprehensive understanding of both the technical and operational aspects of our work.This role is ideally suited for individuals who are passionate about problem-solving, who code for the love of it, and who prioritize impact over specific technologies. We seek builders with entrepreneurial spirit, eager to learn quickly, deliver swiftly, and see their contributions make an immediate difference.If you resonate with this description, we would love to meet you!Key ResponsibilitiesDeploy, integrate, and optimize our product within customer environments.Diagnose and resolve complex real-world issues across infrastructure, APIs, data flows, RPA, and configuration.Write clean and pragmatic code to adapt and enhance our systems for each unique use case.Collaborate with clinicians, partners, and internal teams to eliminate obstacles and facilitate smooth deployments.Contribute to shaping the future of our product offerings.

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 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 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.

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).

About LangChainLangChain is at the forefront of making intelligent agents a commonplace reality. Our mission is to provide robust frameworks for agent engineering, empowering developers to transition their ideas from mere prototypes to production-ready AI agents that organizations can depend on. Initially launched as widely embraced open-source tools, we have expanded to offer a comprehensive platform that facilitates the building, evaluating, deploying, and managing of agents on a large scale.Today, LangChain, LangGraph, LangSmith, and Agent Builder are instrumental for teams delivering tangible AI products across both nascent startups and established enterprises. Millions of developers trust LangChain to fuel AI initiatives at prominent companies including Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and over 35% of the Fortune 500.With $125M raised in Series B funding from notable investors such as IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for significant growth. We continue to innovate and expand our product offerings, ensuring that every team member's contributions shape our technology's real-world applications.About the RoleLeverage your expertise by collaborating with cutting-edge companies on the frontiers of LLM applications, transforming innovative concepts into production-ready applications.Participate in diverse LLM application projects, including concierge search, code generation, and agentic co-pilots.Conduct technical demonstrations showcasing the complete suite of LangChain products.Facilitate training sessions and workshops focused on best practices for developer audiences.Work closely with the enterprise sales team to drive successful deal closures.Engage with engineering teams to translate customer feedback and insights into impactful product enhancements.Lead special internal and external projects that serve as real-world applications of our innovative products.Success Criteria for This RoleIdeal candidates will be engineers who enjoy engaging with customers or have aspirations of becoming future founders.Candidates with experience as deployed engineers or solution architects from developer-centric organizations will excel.An engineering background coupled with a passion for being a trusted partner to clients is essential.A proactive approach to problem-solving and a commitment to delivering exceptional results are crucial.

About Us:Modal is revolutionizing the infrastructure landscape for AI teams. By providing instant access to GPUs, sub-second container startups, and seamless storage solutions, Modal simplifies the processes of model training, batch job execution, and low-latency inference delivery. Companies such as Suno, Lovable, and Substack trust Modal to transition smoothly from prototypes to full-scale production without the complexities of infrastructure management.We are a rapidly expanding team with hubs in NYC, San Francisco, and Stockholm. Having achieved a remarkable 9-figure annual recurring revenue (ARR), we recently secured a Series B funding round at a staggering $1.1 billion valuation. Our extensive client base, including renowned names like Lovable, Scale AI, Substack, and Suno, depends on us for their critical AI operations.Joining Modal means becoming part of one of the most dynamic AI infrastructure companies at its formative stage, offering numerous opportunities for personal and professional growth. Our diverse team comprises creators of prominent open-source projects (e.g., Seaborn, Luigi), academic researchers, international Olympiad medalists, and seasoned engineering and product leaders with extensive industry experience.

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.

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 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.

Lovable serves over 2 million users worldwide, helping people build software using clear, direct language. The team seeks an AI Research Engineer specializing in post-training processes to strengthen one of the market’s fastest-growing AI products. Role overview This position focuses on the post-training pipeline for Lovable’s AI models. The work blends hands-on model training, production infrastructure, and rapid deployment of optimized models. The team values speed and expects research to become working features in days or weeks, not months. Balancing research with real-world deployment is key. What you will do Oversee the complete post-training pipeline for AI models Apply recent research to practical training methods and workflows Deploy optimized models quickly to improve user engagement Work directly with both model training and production infrastructure Deliver results that impact users and product quality Team and culture The Stockholm-based team is small, skilled, and values ownership, speed, and collaboration. Lovable’s platform supports everyone from solo founders to global enterprises, enabling rapid transformation of ideas into products. Users span more than 200 countries. Location This role is based in Stockholm.

Come join our dynamic team at Comeon Group as a passionate and experienced Learning and Development Manager! In this pivotal role, you will spearhead the design and implementation of impactful development initiatives across our fast-paced organization.Your leadership will be essential in enhancing performance, cultivating leadership capabilities, and fostering a culture of continuous growth among our diverse, geographically distributed workforce. The ideal candidate will possess substantial expertise in performance-driven L&D, exceptional facilitation skills, and the ability to influence senior stakeholders effectively.Operating at both strategic and operational levels, you will shape our development agenda while delivering engaging, high-energy programs that yield measurable business outcomes.

About SanaSana is a pioneering AI lab dedicated to creating superintelligence for work. We believe that organizations can accelerate their missions when teams can seamlessly access knowledge, automate repetitive tasks, and engage in learning with the assistance of agentic AI. As a subsidiary of Workday, our commitment lies in developing AI that enhances human capabilities rather than replacing them.Our mission is actualized through two innovative products: Sana Agents, which provide an effortless way to access a company’s applications, knowledge, and data, empowering AI agents to perform real work at an unprecedented scale; and Sana Learn, an AI-driven learning hub that marries the simplicity of a modern learning platform with intelligent features such as an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.We are a team of exceptionally talented engineers and designers, hailing from industry giants like Google, Spotify, Apple, and Databricks, driven by a shared passion for technical excellence and rapid iteration. Our tools are already enhancing the productivity of over a million users across hundreds of leading enterprises - and we are just getting started.About the RoleIn this role, you will be responsible for delivering customer-facing value swiftly by collaborating in small teams - taking ownership from problem identification through to UX design, API development, and performance instrumentation. You will work end-to-end to launch features that not only delight users but also create significant impacts for Sana and our clientele.Key ResponsibilitiesTake ownership of features from design to deployment, including frontend (React/TypeScript), backend (Node/TypeScript), and database (Postgres).Integrate with agent and retrieval APIs to ensure seamless product experiences.Instrument products, conduct A/B testing, and iterate quickly in collaboration with design and product management teams.Make pragmatic trade-offs and thrive in the ambiguity of 0→1 product spaces.Work closely with stakeholders, users, and teammates to identify and solve the right challenges.Success CriteriaRapid feature deployment that delights users and drives measurable outcomes.End-to-end ownership is standard - problems are resolved rather than passed along.Product instrumentation and A/B testing guide every iteration.You will act as a force multiplier for your team, enhancing the capabilities of those around you.Embrace ambiguity as an opportunity for innovation.

Role Overview AFRY is looking for a leader to guide projects and teams in Stockholm. This role centers on steering projects to completion, motivating colleagues, and supporting progress at each stage. The work contributes to AFRY’s commitment to technology and engineering, with a focus on innovation and sustainability.

We are seeking talented Data Scientists to join our innovative team at Atlavik in Stockholm. If you thrive in a dynamic IT environment and are passionate about leveraging data to drive business decisions, we want to hear from you!Analyze extensive datasets to uncover actionable insights that influence strategic decisions across the organization.Effectively communicate data-driven insights and recommendations to key stakeholders.Collaborate with cross-functional teams, including analysts, product owners, marketers, and designers to ensure cohesive project execution.Advance your career as a professional analytics expert within our organization.Engage in the development of cutting-edge machine learning applications in advanced rehabilitation care.Stay informed about the latest digital opportunities, solutions, vendors, and industry trends.

MissionAt Neko Health, we are transforming the healthcare landscape by prioritizing prevention over treatment. Utilizing innovative, non-invasive technology combined with clinical expertise, we provide early, actionable health insights.AI Intern – Data & AI Team (Summer Internship)Location: Stockholm (on-site) Duration: Summer Internship (approximately 8–12 weeks)Team: Data & AIAbout Neko HealthNeko Health is at the forefront of preventive healthcare, leveraging advanced diagnostics, multimodal data, and cutting-edge artificial intelligence. Our aim is to enhance long-term health outcomes by facilitating earlier detection and a more profound understanding of disease risk. By integrating engineering, medical science, and machine learning, we create systems that convert complex health data into actionable insights.About the RoleWe are seeking a passionate AI Intern to join our Data & AI Team this summer. This internship will provide you with the opportunity to work directly with real-world health data and contribute to impactful early-detection solutions.As an AI Intern, you will closely collaborate with researchers, engineers, and clinicians to investigate how multimodal health data can be modeled, analyzed, and transformed into valuable preventive insights. You will function within Neko’s scientific and technical frameworks to ensure rigor, reproducibility, and measurable impact. Each intern is assigned a dedicated mentor and entrusted with a technically challenging project that aligns with Neko’s mission.What You’ll Work OnPotential projects may include:Developing machine learning models for multimodal health data (imaging, physiological signals, structured clinical data, etc.)Applying computer vision techniques to medical imaging or sensor-based dataExperimenting with foundation models and representation learning approachesPrototyping data-centric workflows for pre-processing, labeling, and evaluationDesigning and validating algorithms for early-detection insightsEvaluating model performance, robustness, and generalization in healthcare contexts.