AI Research Engineer - Signal Processing

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.

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.

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...

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.

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.

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.

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

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.

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.

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 Helsing, we stand at the forefront of defence AI technology. Our mission is to safeguard democracies while promoting ethical standards and technological leadership. We are committed to ensuring that open societies maintain autonomy in their decision-making processes.As advocates for responsible technology development, we recognize the vital role AI plays in our security landscape. Our team, composed of talented engineers, AI experts, and dedicated programme managers, is on the lookout for mission-driven individuals ready to tackle complex challenges. We foster an open culture that encourages constructive discussions on the implications of technology in defence.The RoleAs an AI Research Engineer specializing in Computer Vision, you will be instrumental in developing innovative AI capabilities that enhance machine perception and support human decision-making in high-stakes environments. This role demands the integration of advanced generalization techniques with hardware constraints and resilience against adversarial threats.You will collaborate closely with a dynamic computer vision team, focusing on creating models for object recognition, tracking, video understanding, and scene matching.

About UsHelsing is pioneering the integration of artificial intelligence in defense systems. Our core mission is to safeguard democratic values by providing technological advancements that empower societies to make autonomous decisions and uphold ethical standards.As advocates for democracy, we recognize our unique responsibility to approach the development and implementation of transformative technologies like AI with care and foresight. We are committed to this principle.Our dedicated team comprises engineers, AI specialists, and customer-focused program managers. We seek individuals driven by purpose to join our European teams and leverage their expertise to tackle some of the most intricate and significant challenges. Our culture promotes openness and transparency, encouraging thoughtful discussions on the implications of technology in defense, its advantages, and ethical considerations.The RoleAt Helsing, we are at the forefront of delivering AI-driven capabilities and the supporting infrastructure necessary for semi-autonomous platforms to localize, navigate, and interpret their environment in real-time. You will play a pivotal role in shaping the future of AI within one of the most demanding sectors, where performance must be matched with exceptional generalization capabilities and resilience against adversarial challenges.You will be responsible for developing the autonomous 'brain' for an advanced aerial platform that will actually take flight. Your work will involve integrating state-of-the-art reinforcement learning algorithms into the operational systems of our Unmanned Combat Aerial Vehicle (UCAV), contributing to a transformative military technology.

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.

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.

Join sensmore as a Robotics Engineer Intern, where you'll engage in cutting-edge projects focused on VLM and VLA models. This is an incredible opportunity to apply your academic knowledge in a practical setting, contributing to innovative robotics solutions.Your role will involve collaborating with a talented team of engineers and researchers, using advanced technologies to develop and refine robotic systems. You'll gain hands-on experience that will enhance your skills and prepare you for a successful career in robotics.

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

Join Perplexity as a skilled Machine Learning Research Engineer, where you will play a pivotal role in developing cutting-edge search technologies focusing on retrieval and ranking mechanisms.Key Responsibilities:Proactively enhance search quality through innovative models, data strategies, tools, and other effective means.Design and construct essential components of our advanced search platform and model architecture.Create, train, and fine-tune large-scale deep learning models utilizing frameworks like PyTorch, with an emphasis on distributed training and hardware acceleration for retrieval and ranking.Engage in advanced research on representation learning, including contrastive learning and multilingual, multimodal modeling tailored for search and retrieval applications.Implement and deploy models effectively, ranging from boosting algorithms to large language models, ensuring scalability and performance.Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for accurate grounding and answer generation.Collaborate across Data, AI, Infrastructure, and Product teams to ensure swift and high-quality project delivery.

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.