PhD Research Internship – Robotics Engineer (VLM / VLA Models)

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…

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 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.

At sensmore, we are revolutionizing the automation of the world’s largest machinery with cutting-edge intelligence. Our innovative Physical AI empowers heavy machinery, such as wheel loaders, to adapt instantly to changing environments and undertake new tasks without prior training.By integrating advanced robotics into our platform, we are launching intelligence and automation products that significantly enhance productivity and safety for our clients in the mining, construction, and related sectors.Join us in redefining the automation landscape for heavy industries and making a substantial impact.

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.

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.

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.

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.

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 scientific, medical, financial, and business information.Our Achievements: As the leading authority in structured data machine learning, our TabPFN v2 model has set a new benchmark presented in Nature. With over 2.5 million downloads and more than 5,500 stars on GitHub, our model capabilities have grown by over 20x, showcasing its rapid adoption across both research and commercial sectors. We are now developing the next generation of tabular foundation models for global enterprises in Europe and the US.About Our Team: Comprising over 20 elite engineers and researchers selected from a pool of more than 5,000 candidates, our team boasts expertise from industry giants such as Google, Apple, Amazon, and CERN. Led by the creators of TabPFN and advised by eminent AI researchers like Bernhard Schölkopf and Turing Award winner Yann LeCun, we are poised for groundbreaking advancements. Meet the team here.Looking Ahead: With backing from top-tier investors and industry leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting time to join us as we shape the future of structured data AI. Explore our manifesto.Role OverviewAs a pioneering Research Scientist, you will be at the forefront of developing a groundbreaking class of AI models. Our latest innovation, TabPFN, has significantly outperformed existing methodologies, marking a pivotal moment in AI research. This role offers a unique chance to:Engage in transformative AI breakthroughs rather than merely incremental advancements.Influence global organizational practices regarding their most valuable data.Join us at a crucial juncture following our recent funding and rapid scaling.We are challenging the limits of transformer architectures in structured data. Key challenges include...

At sensmore, we are pioneering the automation of the world's most substantial machinery, integrating cutting-edge intelligence into heavy machines. Our proprietary Physical AI technology enables machines like wheel loaders to adapt swiftly to dynamic environments and undertake new tasks without the need for prior training.We fuse advanced robotics into a comprehensive platform that powers innovative intelligence and automation products, revolutionizing productivity and safety for our clients in sectors such as mining, construction, and related industries.Join our team and be a key contributor in reshaping the automation landscape within heavy industries.

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

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

Join Enpal as a Business Engineering Intern and immerse yourself in a dynamic environment that fosters innovation and creativity. In this role, you will have the opportunity to work closely with cross-functional teams, contributing to projects that drive our business forward. This is a fantastic chance to develop your skills and gain practical experience in the business engineering field.

Superhuman offers a dynamic hybrid working model for this role, blending focus time with in-person collaboration to cultivate trust, innovation, and team culture.About SuperhumanGrammarly is now part of Superhuman, an AI productivity platform dedicated to unlocking the superhuman potential within everyone. The Superhuman suite of applications integrates with over 1 million platforms and websites to enhance productivity. Our offerings include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that intuitively understands context to provide automated support. Founded in 2009, Superhuman empowers over 40 million users, 50,000 organizations, and 3,000 educational institutions globally to reduce busywork and concentrate on what truly matters. Discover more at superhuman.com.The OpportunityTo reach our ambitious objectives, we are seeking a passionate PhD student to join our Research team for a 3-month internship in the summer of 2026. We prefer candidates who are nearing the completion of their Master’s or PhD with expertise in natural language processing (NLP), machine learning (ML), and deep learning (DL). The internship offers flexible start dates during the summer.This position will involve addressing various challenges associated with modern large language models (LLMs), such as writing assistance, personalization, AI detection, and more. Our Research team actively publishes in prestigious journals and participates in conferences, all while developing next-generation features and products for millions of daily users.Grammarly’s engineers and researchers enjoy the freedom to innovate and drive breakthroughs, directly influencing our product roadmap. As we expand our interfaces, algorithms, and infrastructure, the complexity of our technical challenges increases. Learn more from our team on our technical blog.As an Applied Research Intern, you will help tackle some of Superhuman’s most significant research challenges. In this role, you will:Engage in an end-to-end research challenge aligned with your team’s high-level goals.Collaborate with a mentor to define, design, and execute a comprehensive project throughout your internship.Work alongside a talented team of professionals from whom you can learn daily.Develop cutting-edge tools for tackling complex problems.

Superhuman embraces a dynamic hybrid work model for this internship. This flexible approach allows team members to enjoy focused work time while also benefiting from in-person collaboration that fosters trust, innovation, and a strong team culture.About SuperhumanSuperhuman, which includes Grammarly as part of its AI productivity platform, is dedicated to unlocking the superhuman potential within everyone. Our suite of applications and agents integrates seamlessly with over 1 million apps and websites, enhancing productivity through innovative tools. Our offerings include Grammarly’s writing assistance, Coda’s collaborative workspaces, and Go, a proactive AI assistant that understands context and delivers automated help. Since our founding in 2009, we have empowered over 40 million individuals and 50,000 organizations globally, including 3,000 educational institutions, to eliminate busywork and focus on what truly matters. Discover more at superhuman.com.The OpportunityTo achieve our ambitious goals, we are seeking a motivated PhD student to join our Research team for a 3-month internship in the summer of 2026. Ideal candidates should be nearing the completion of their Master’s or PhD studies and possess a strong background in natural language processing (NLP), machine learning (ML), and deep learning (DL). Flexible start dates are available within the summer months.In this role, the intern will engage with a variety of complex challenges associated with modern LLMs, including writing assistance, personalization, AI detection, and more. Our Research team actively contributes to leading journals and participates in conferences while developing next-generation features and products for tens of millions of daily active users.Superhuman’s engineers and researchers are empowered to innovate and achieve breakthroughs, directly influencing our product roadmap. As our technical challenges grow with the scaling of our interfaces, algorithms, and infrastructure, you can learn more about our team's work on our technical blog.As an Applied Research Intern, you will be pivotal in addressing some of Superhuman’s most significant research challenges. Your responsibilities will include:Engaging in an end-to-end research challenge that aligns with your team’s strategic goals.Collaborating with a mentor to scope, design, and execute a well-defined project throughout your internship.Working closely with other team members to share insights and drive innovation in your area of focus.

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.

Rivian and Volkswagen Group Technologies collaborate to advance mobility, focusing on software-defined vehicles and the evolving landscape of electric transportation. Their teams combine strengths in connectivity, artificial intelligence, and security to create smarter, more efficient solutions for individuals and communities worldwide. The Software Integration Engineering Internship in Berlin offers practical experience with modern vehicle systems and automated testing processes. Interns work directly with experienced engineers, contributing to the design, development, and execution of automation that validates new vehicle access and connectivity features. This position connects academic knowledge with hands-on skills, providing insight into large-scale system testing and automation at RV Tech. What you will do Develop and execute automated test scripts for various vehicle platforms. Assist in setting up and managing automated vehicle test stations under engineering supervision. Maintain test environments, ensuring daily reliability and safety. Troubleshoot automation scripts and hardware issues as they occur. Help create dashboards and visualization tools to present test results. Collaborate with multidisciplinary teams to implement new automation solutions and refine testing processes. Gain exposure to a CI/CD and Python-based automation framework. Requirements Available for a full-time internship from July 2026 through December 2026. Currently enrolled in a Bachelor’s program in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related field. Interest in automation, embedded systems, or automotive technology. Basic programming skills in Python; familiarity with C/C++ or object-oriented programming is a plus. Strong analytical and problem-solving abilities.

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 UsHelsing is a pioneering AI defense company dedicated to safeguarding our democratic values. Our goal is to achieve technological excellence to ensure that open societies can maintain autonomy over their ethical standards and decision-making processes. We are committed to thoughtful development and responsible deployment of transformative technologies such as AI.Our team is composed of passionate software engineers, AI specialists, and dedicated program managers. We invite mission-driven individuals to join our European teams to tackle some of today's most complex and significant challenges.We foster a culture of openness and transparency, encouraging constructive discussions on the role of technology in defense, its advantages, and its ethical considerations.Job RoleAs an AI Research Engineer specializing in Signal Processing at Helsing, you will be instrumental in creating AI-driven solutions that empower machines to support human decision-making.This position offers a rare chance to influence AI capabilities in a demanding field where advanced generalization must coincide with stringent hardware limitations and resilience against adversarial threats.You will collaborate with a dedicated signal processing team to devise in-house solutions for challenges encountered in various environments, including aerial and underwater.Daily ResponsibilitiesYour responsibilities will include advancing and implementing cutting-edge signal processing techniques in practical scenarios.You will engage in collaborative projects, working alongside professionals from diverse backgrounds and expertise.Who Should ApplyIf you possess a Master’s degree in signal processing, machine learning, robotics, communication engineering, or a related discipline, and have a proven track record of conceptualizing, implementing, and rigorously evaluating advanced systems, we encourage you to apply.

About UsAt Helsing, we empower machines with advanced AI capabilities that enhance human decision-making and perception. Join us to make a significant impact in a high-stakes environment, where robust AI solutions must meet hardware constraints while defending against adversarial threats.As part of our AI Assurance team, you will pioneer innovative methods for the scalable evaluation of AI products across our organization. Your role will involve designing data collection and experimentation strategies to derive causal insights, thereby promoting responsible decision-making through effective uncertainty quantification and safety protocols.Your Daily ResponsibilitiesYou will define operational domains and assess the reliability of our in-house AI capabilities. Your expertise will help advance the state-of-the-art in uncertainty quantification and calibration. This role requires a deep understanding of our AI systems, enabling you to interface effectively and evaluate their resilience in real-world and adversarial settings. You’ll collaborate on impactful projects with diverse teams, contributing to our mission.