Research Scientist, Foundation Model

Join Our TeamAt Prior Labs, we are revolutionizing the way organizations interact with tabular data—the essential framework of scientific and business operations. While foundation models have already transformed text and image processing, structured data has largely been overlooked. We are seizing a $600B opportunity to redefine how industries manage their s…

About UsAt Prior Labs, we are pioneers in developing foundation models that effectively comprehend tabular data, which serves as the cornerstone of various fields including science and business. While foundation models have revolutionized the processing of text and images, structured data remains a largely untapped resource. Our mission is to address this $600 billion opportunity, fundamentally transforming the way organizations engage with scientific, medical, financial, and business data.Our Achievements: We proudly stand as the leading organization in the realm of structured data machine learning (ML). Our groundbreaking TabPFN v2 model has been featured in Nature, establishing a new benchmark in tabular machine learning. Following its release, we have significantly enhanced our model capabilities, achieving over 2.5 million downloads and receiving more than 5,500 stars on GitHub. We are witnessing a rapid uptick in adoption from both research and industry sectors as we build the next generation of tabular foundation models and commercialize them with enterprises across Europe and the United States.Our Team: Our team consists of a highly selective group of over 20 engineers and researchers, chosen from a pool of more than 5,000 applicants. We have backgrounds from industry giants such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and receive guidance from eminent AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet our talented team here.What's Next: Supported by top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are on a rapid growth trajectory. This is an exceptional time to join us and help shape the future of structured data AI. Explore our manifesto for further insight.Core Areas of ImpactAs a member of our engineering team, you will contribute to the development of a novel class of AI models. Our latest innovation, TabPFN, significantly surpasses existing methods by orders of magnitude, and we are just getting started. This is a unique opportunity to:Engage in groundbreaking advancements in AI, rather than just incremental enhancements.Influence the future of how organizations globally manage their most critical data.Join us at an opportune moment: we have secured substantial funding (with announcements imminent), achieved strong initial traction (over 100,000 downloads), and are expanding swiftly.At Prior Labs, we prioritize collaboration and integration of research into practical applications. Our Research Engineers play a critical role in bridging the gap between innovative research and real-world implementation.

About UsHelsing is a pioneering defense AI company dedicated to safeguarding democracies. Our mission is to achieve technological leadership, ensuring that open societies can maintain sovereignty over their decisions and ethical standards.As advocates for democratic values, we recognize our profound responsibility in the thoughtful advancement and application of transformative technologies like AI. We take this commitment seriously.Our team consists of passionate engineers, AI specialists, and customer-oriented program managers. We are on the lookout for mission-driven individuals to join our European teams and leverage their skills to tackle the most complex and impactful challenges. We foster an open and transparent culture that encourages healthy discussions about the utilization of technology in defense, its advantages, and its ethical considerations.The RoleAt Helsing, we are revolutionizing perception by developing foundational intelligence for the physical world. You will engage in researching, designing, and training large-scale Foundational Models that convert intricate multimodal sensor data into innovative autonomous capabilities.We are in search of an individual who operates at the nexus of AI Research and Machine Learning Engineering, possessing a proven background in LLM/VLM (multimodal) architectures. Your core responsibility will involve training and fine-tuning Vision-Language Models using our proprietary datasets to enhance our diverse product offerings. You will oversee the entire model lifecycle, from data curation and training to evaluation.

Mirelo AI is at the forefront of innovation, crafting the future of creative tools through advanced technology that generates realistic sound, speech, and music from video.Our pioneering foundational generative AI models breathe life into silent video content, producing custom, hyper-realistic audio tailored for gaming, video platforms, and content creators. By empowering storytellers worldwide, we enable the transformation of their narratives.After successfully securing a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures, with additional support from Atlantic, we are rapidly scaling our teams across Product, Engineering, Go-to-Market, and Growth.Role OverviewAs a Research Scientist at Mirelo, you will be central to the development of next-generation multimodal video-to-audio models. This position entails hands-on research and development work, supported by an impressive H100/200-per-engineer ratio, allowing you to explore and innovate new multimodal models and extend the frontiers of music, sound, and speech generation. Your collaboration across research and engineering will be key as you conduct focused ablation studies, derive actionable insights, and guide the team with clear next steps. From data curation to deployment, you will actively contribute to shaping the entire lifecycle of the models that drive our products and partnerships.Key ResponsibilitiesDesign, implement, and train large-scale multimodal generative models for audio generation (including diffusion and autoregressive models).Investigate innovative modeling concepts for audio generation across music, sound, and speech, drawing inspiration from the language and image domains.Develop and test new capabilities through post-training methods (e.g., fine-grained control, in/out-painting, editing).Conduct thorough ablation studies, derive actionable insights, and effectively communicate findings to guide future research directions.Engage in all stages of model development, including data curation, experimentation, evaluation, and deployment.Ideal Candidate ProfileProven hands-on experience in training large-scale generative models within a dynamic research environment.In-depth understanding of advanced methods and machine learning research in at least one domain: image, language, video, or audio (specific audio expertise is a plus).Strong proficiency in PyTorch and transformer architectures, alongside a comprehensive knowledge of the modern deep learning ecosystem.Solid grasp of statistical methods, data analysis, and model evaluation techniques.

Location: Remote / Berlin (Office available) | Language Requirement: Fluent GermanAt Deepslate, we are pioneering the development of advanced Speech to Speech Voice AI models that closely emulate human speech. We believe in making this technology accessible to everyone.While industry leaders like OpenAI and Google have excelled with text and image processing, the realm of voice technology remains a complex challenge with its multitude of languages, dialects, accents, and nuanced intonations.This is where Deepslate steps in.Supported by top-tier investors from the technology and AI sectors, alongside a significant German VC fund, we are well-funded and poised for rapid growth.Join us in shaping the future of communication.We are not merely creating another standalone platform; we are the intelligence engine that drives a multitude of applications. Our models are embedded in various systems, whether integrated by CRM providers, utilized in other Voice AI platforms, or directly implemented in enterprise solutions through our partners.Your RoleAs a pivotal member of our team, you will research, train, and enhance our proprietary Voice AI model. Your objective is to create a sophisticated speech-to-speech model that captures the intricate nuances of human communication. You will address challenging tasks such as real-time emotion recognition and natural speech patterns to construct a superior voice model from the ground up.What You'll Do:Your contributions will blend AI research with scalable software engineering, establishing the benchmarks for how effectively our models perform in real-world applications.Research & Train: Design, implement, and assess our proprietary deep learning models. You will spearhead the creation of new features, including emotion detection, and incorporate them into our core system architecture.High-Performance ML Systems: Optimize model performance for speed and efficiency, ensuring the capability to process large datasets and real-time tasks at scale.Software Engineering: Develop clean, production-ready code. We seek researchers who excel in software engineering, adept at transforming complex research into reliable architectures.Collaboration: Work closely with cross-functional teams to align research objectives with practical applications and ensure cohesive integration of advancements.This role is designed for those passionate about pushing the boundaries of AI and voice technology.

Superhuman offers a full-time dynamic hybrid working model for this role. This flexible approach allows team members to experience the best of both worlds: a balance of focused work time and in-person collaboration that nurtures trust, creativity, and a robust team culture.About SuperhumanSuperhuman, which now includes Grammarly as part of its suite, is an innovative AI productivity platform on a mission to unleash superhuman potential in everyone. Our apps and intelligent agents seamlessly integrate with over a million applications and websites, making work more efficient. Our offerings include Grammarly’s advanced writing assistance, Coda’s collaborative workspaces, Mail’s effective inbox management, and Go, our proactive AI assistant that understands context and provides timely support. Founded in 2009, Superhuman serves over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, enabling them to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for an Applied Research Scientist who possesses a strong interest in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. This team is dedicated to developing user-facing features across all Superhuman applications, enhancing the way our users write, collaborate, and communicate in large groups. The successful candidate will contribute unique insights during the product development process, from ideation through to defining solutions. Leveraging a profound understanding of ML/DL/NLP concepts, the Applied Research Scientist will design approaches to tackle complex challenges and enhance our product offerings.At Superhuman, our engineers and researchers enjoy the freedom to innovate and explore groundbreaking solutions, which directly influences our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the technical challenges we face are rapidly evolving. For more insights, read about our tech stack or check out our technical blog.Your ImpactAs an Applied Research Scientist, you will harness your enthusiasm for creating innovative product solutions that positively impact millions. Staying abreast of the fast-evolving field of NLP while focusing on building production-ready systems will be key to your success.

Join Mirelo AI in revolutionizing creative tools by crafting realistic sound, speech, and music from video content.We are at the forefront of developing innovative generative AI models that enhance silent video content, delivering custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers storytellers around the world to elevate their content.Having recently secured a $41 million Seed funding round co-led by Andreessen Horowitz and Index Ventures, with contributions from Atlantic, we are rapidly expanding our teams across Product, Engineering, Go-to-Market, and Growth initiatives.About the RoleAs a Research Scientist at Mirelo, you will play a pivotal role in pushing the boundaries of generative audio. Your innovation will directly impact the quality of our underlying audio representations. You will engage with our modeling stack, designing, training, and assessing neural audio codecs that will influence the performance of our next-generation music and sound models. Collaboration with the model team will be essential as you explore both continuous and discrete representations and develop evaluation tools to measure our progress in building superior generative audio models.

About the ClientOur client is at the forefront of digital cardiology, leveraging advanced machine learning techniques to analyze human voice patterns, enabling earlier detection of heart failure exacerbations than any current methods. This innovative approach is set to revolutionize the monitoring and management of patients by healthcare professionals.With a robust track record of international clinical trials, the company is now focused on commercializing this groundbreaking technology and enhancing the clinical evidence to cement its position as the new gold standard in patient care.Their remote monitoring platform is already trusted by over 200 cardiologists and more than 1,000 patients across Europe and the United States. This system aims to scale and redefine the landscape of cardiovascular care.About the RoleWe are seeking an accomplished Clinical Research Scientist (MD, PhD, or equivalent) with a strong cardiology background to join our dynamic medical and scientific team. This role is not confined to backend research; you will play a pivotal role in our mission, bridging clinical research, scientific advancement, and medical affairs.Your responsibilities will encompass hands-on trial execution and high-level strategic scientific work within an agile startup environment. Collaborating closely with the Chief Medical Officer and the R&D Team, you will contribute to shaping the global evidence strategy for pivotal trials, AI validation, and real-world studies.You will engage directly with leading researchers from prestigious institutions globally (such as Charité Berlin, Mayo Clinic, UCSF, and Duke University) as part of multi-center studies, combining rigorous academic standards with the agility of a startup.Additionally, you will play a key role in scientific communication and act as a liaison with clinicians, partners, and stakeholders across Europe and the U.S. Your contributions will ensure that our technology not only advances the field but also influences the scientific, clinical, and commercial discourse surrounding heart failure remote monitoring.

sensmore builds automation systems for heavy machinery, applying intelligent robotics to help equipment such as wheel loaders adapt to changing tasks and environments. Their Physical AI platform connects robotics with real-world industrial needs, aiming to boost productivity and safety across sectors like mining and construction. This PhD Research Internship centers on advancing industrial automation, blending research and engineering in a practical setting. The position is based in Berlin or Potsdam and focuses on Vision-Language Models (VLM) and Vision-Language-Action (VLA) systems for robotics. Role overview The internship targets general purpose AI, with an emphasis on developing scalable VLA systems that enable robots to perceive, reason, and act in complex industrial environments. The work combines multi-modal perception, including video, radar, and lidar, with practical robotics. Interns will contribute to embodied AI research for heavy industry, working at the intersection of method development and hands-on engineering. There are opportunities to publish research and influence the direction of industrial autonomy at sensmore. Key responsibilities Research and method development: Design and implement new approaches for Vision-Language-Action systems in industrial contexts. Investigate scalable architectures for multi-modal reasoning and action generation. Advance methods in embodied AI and robotic autonomy. Multi-modal learning and data systems: Lead the design and evaluation of large-scale multi-modal datasets, including video, radar, lidar, and sensor fusion. Develop self-supervised or weakly supervised pipelines for generating VLA datasets. Explore data-centric strategies to improve robustness and generalization. Model development and optimization: Build, adapt, and extend advanced models to achieve project objectives.

About UsAt reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.We believe that the true potential of generative AI can only be achieved by tackling the world's most significant information challenges. With over two decades of expertise in reinforcement learning and natural language processing, we are poised to make a substantial impact in this field.Our team consists of scientists, builders, and entrepreneurs who have pioneered some of the most influential AI applications. Having led teams at industry giants like Google, DeepMind, and EY Parthenon, we now connect cutting-edge AI research with the biopharma sector.

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the way we process text and images, the potential of structured data remains largely untapped. We are seizing a monumental $600B opportunity to redefine how organizations interact with scientific, medical, financial, and business datasets.Our Momentum: We are recognized as the global leader in structured data machine learning. Our groundbreaking TabPFN v2 model, featured in Nature, has set a new benchmark for tabular machine learning. Since its launch, we have scaled our model's capabilities by over 20 times, achieving more than 2.5 million downloads and garnering over 5,500 stars on GitHub. Our technology is rapidly gaining traction in both research and industry, paving the way for the next generation of tabular foundation models which we are actively commercializing with leading enterprises across Europe and the US.Our Team: We are a selective and dynamic group of over 20 engineers and researchers, handpicked from a pool of more than 5,000 applicants. Our diverse backgrounds include industry giants such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and receive guidance from eminent AI researchers, including Bernhard Schölkopf and Turing Award laureate Yann LeCun. Discover more about our team here.Join Us: With support from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is your chance to help shape the future of structured data AI. Read our manifesto.Your Impact AreasAs a Research Scientist Intern, you will be at the forefront of collaborating on a novel class of AI models that go beyond mere incremental improvements. At our early-stage startup focused on foundation models for tabular data, you will encounter a myriad of thrilling research opportunities and challenges that align with your interests and expertise. Our initiatives include:Enhancing our transformer architectures to effectively handle datasets from 10K to over 1M samples without sacrificing performance.Developing multimodal models that integrate textual and tabular data on proprietary datasets.Creating tailored architectures for time series analysis, forecasting, and anomaly detection.

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the core of both scientific and business operations. While foundation models have revolutionized text and image processing, structured data has remained largely neglected. We are seizing the opportunity in this $600 billion sector to fundamentally reshape how organizations interact with scientific, medical, financial, and business data.Our Progress: As a global leader in structured data machine learning, our TabPFN v2 model has been featured in Nature, establishing a new benchmark for tabular machine learning. Following its launch, we have enhanced our model's capabilities by over 20 times, achieving more than 2.5 million downloads and over 5,500 GitHub stars, with rapid adoption across both research and industry. We are currently advancing the next generation of tabular foundation models and actively partnering with enterprises globally across Europe and the US.Our Team: Our team comprises over 20 highly skilled engineers and researchers, meticulously selected from a pool of over 5,000 applicants. With backgrounds from top-tier organizations such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, we are led by the creators of TabPFN and receive guidance from esteemed AI researchers, including Bernhard Schölkopf and Turing Award recipient Yann LeCun. Discover more about our team here.What’s Ahead: Supported by premier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are expanding rapidly. Now is the perfect time to join us and help shape the future of structured data AI. Explore our manifesto.Role OverviewAs a member of our data science team, you will work with a revolutionary class of AI models. In the position of Data Scientist at Prior Labs, you will act as a vital bridge between our cutting-edge technology and its practical applications. You will be a super-user of our foundation models, gaining a profound understanding of their capabilities, presenting compelling use cases, and influencing our product roadmap.This multifaceted role will require you to take on various responsibilities and connect different facets of our organization. Here’s how you will make an impact:Power User & Innovator: Engage deeply with our innovative TFMs (such as TabPFN), experiment extensively with unique features like ICL, and discover new applications.

Join Contentful as an Engineering Manager focusing on Workflows and UI Foundations. We are looking for a dynamic leader to guide our engineering teams, drive innovation, and enhance user experiences through powerful workflows and user interfaces.Your role will involve collaborating with cross-functional teams, fostering a culture of continuous improvement, and implementing best engineering practices to ensure the successful delivery of high-quality features.

ABOUT YOU GmbH is seeking a part-time fitting model in Berlin to support the development of their fashion collections. This role is open to all genders who wear a size 38 and want to help shape how clothing fits and looks before it reaches customers. Role overview Fitting models work closely with design and product teams, trying on garments and providing feedback on fit, comfort, and appearance. Your input will help ensure each piece meets the brand’s standards for quality and inclusivity. Who we’re looking for Confidence in front of others and a willingness to share honest feedback Size 38 fit (all genders welcome) Interest in fashion and modeling Reliable availability for part-time sessions in Berlin What you’ll gain This position offers a chance to contribute to a creative team and influence the final look and feel of new collections. It’s a way to express personal style and be part of a brand committed to diversity in fashion.

About the Role almedia is looking for a Founding Data Scientist to help define and build its data strategy in Berlin. This early team member will work directly with leadership to turn complex datasets into actionable insights and shape the direction of product development. What You Will Do Analyze and interpret large, varied datasets to inform business and product decisions Collaborate closely with founders and engineers to design data-driven features Develop models and tools that improve and expand company offerings Who Will Succeed Enjoys the challenges and pace of an early-stage startup Brings hands-on experience in data science and a drive to see ideas through from concept to impact Wants to play a key role in building something new from the ground up This is a chance to have a direct influence on almedia’s future and set the foundation for a data-driven culture.

Intercom builds tools that help businesses deliver better customer service, powered by artificial intelligence. Nearly 30,000 companies worldwide use Intercom’s products, including Fin, an AI customer service agent that works seamlessly with the Intercom Helpdesk as part of the Customer Service Suite. Since 2011, Intercom has focused on innovation and delivering value for clients. Role overview The AI Models Infrastructure Team within Intercom’s AI Group develops and maintains the core infrastructure that supports the company’s proprietary AI models. Intercom is hiring an Engineering Manager to lead this team. This is a technical leadership position working at the intersection of infrastructure and artificial intelligence. What you will do Guide a team of engineers building and operating the infrastructure for Intercom’s AI models Work closely with other teams to ensure the reliability and scalability of AI systems Support ongoing technical growth within the team and stay current with advances in AI Who we’re looking for Experience managing technical teams, ideally in AI or related fields Strong background in infrastructure or platform engineering Commitment to continuous technical development Locations Berlin, Germany Dublin, Ireland London, England Learn more About engineering at Intercom: https://intercom.engineering About Fin: http://fin.ai

ABOUT YOU GmbH is seeking a Fitting Model (Size 38) for in-person sessions in Berlin. This position is open to all genders and supports the company's focus on diversity and inclusivity. Role overview The Fitting Model will attend fitting sessions to help the team evaluate the fit and comfort of clothing samples. Feedback from these sessions is used to refine garments before they reach customers. What you will do Participate in scheduled fittings wearing Size 38 samples Provide feedback on comfort, fit, and movement Work closely with designers and product teams during sessions Requirements Wear Size 38 Comfortable participating in fittings with a team Interest in fashion and garment design Based in Berlin or able to attend fittings in person

Intercom, based in Berlin, Germany, builds AI-powered tools that help businesses deliver customer service at scale. Nearly 30,000 companies worldwide rely on Intercom’s products, including Fin, an AI agent that handles customer queries around the clock. When integrated with Intercom’s Helpdesk, Fin becomes part of a broader suite designed to support both automated and human-assisted service. About the Role The AI Models Infrastructure Team sits within Intercom’s AI Group. As Engineering Manager, lead a team focused on designing and maintaining the infrastructure that powers Intercom’s AI models. This work is central to how Intercom’s AI capabilities evolve and scale. What You Will Do Guide a team of engineers responsible for building and supporting the systems behind Intercom’s AI models. Apply technical expertise to help the team navigate a fast-changing field. Foster a culture of continuous technical learning and growth. Collaborate with other teams to ensure the AI infrastructure meets product needs. What You Bring Strong technical background in AI or related fields. Experience leading engineering teams. Commitment to staying current with new developments in AI infrastructure. Learn More Explore Intercom’s engineering culture: intercom.engineering Read about Fin: fin.ai

At Enpal, we are more than just a company; we are a pioneering movement. As a prominent greentech unicorn and one of Europe’s fastest-growing energy providers, our mission is to make solar energy accessible and simple for homeowners throughout the continent. Our forward-thinking business model for solar panels, heat pumps, home energy storage solutions, and EV charging stations is transforming the residential energy landscape. We empower homeowners to adopt clean energy, setting the stage for a sustainable and decentralized energy future.As the foremost leader in residential solar, Enpal is advancing its next venture: Enpal Energy, our platform designed for the management, optimization, and orchestration of millions of distributed energy assets. This includes the development of Europe’s largest Virtual Power Plant (VPP), which connects solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and create new revenue opportunities for our customers.We envision a bold future: to be the cornerstone of Europe’s shift towards distributed, intelligent, and clean energy generation.We are in search of a Data Scientist to enhance our expanding Energy Data Science team. Your contributions will directly influence energy trading decisions within one of Europe's largest residential energy communities, having a tangible impact on our participation in the energy market. This role is tailored for a proactive data scientist with robust software engineering skills and experience across the entire data and ML stack.Key ResponsibilitiesDevelop, research, and implement time series forecasting models for energy markets (including load, generation, and weather forecasting), managing the complete lifecycle from data exploration and feature engineering to model training, evaluation, deployment, monitoring, and retraining.Enhance our MLOps infrastructure by contributing to experiment tracking, model versioning, automated retraining pipelines, and production observability.Effectively communicate forecasting performance and model insights to trading and product stakeholders, bridging the gap between technical results and business impact.Collaborate intimately with Data Engineers, Software Engineers, and Product teams to produce well-engineered, reliable data science solutions.Play a pivotal role in shaping our data science roadmap and contribute to innovative forecasting methodologies.Guide and mentor junior data scientists, fostering a collaborative learning environment.

Aviv Group is looking for a Senior Mixed-Methods User Researcher based in Berlin. This position centers on shaping user experiences by applying both qualitative and quantitative research methods. Role overview As a Senior Mixed-Methods User Researcher, you will work closely with cross-functional teams. Your research insights will help guide product development and inform improvements to user interfaces. The goal is to ensure that user needs and behaviors are understood and reflected in product decisions. What you will do Conduct qualitative and quantitative research to understand user behaviors and preferences Collaborate with designers, product managers, and engineers to share findings and recommendations Translate research insights into actionable guidance for product and design teams Requirements Proven experience with both qualitative and quantitative research methods Ability to communicate research findings clearly to cross-functional partners Experience influencing design and product decisions through research