AI Research Engineer - AI Safety

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 f…

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 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 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 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.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This role is project-based and does not offer permanent employment. Role overview The Freelance AI Trainer - Research Physicist collaborates with Mindrift to support AI development by designing and documenting advanced physics problems. Each project introduces new challenges and tasks may include: Creating original optics problems that reflect real-world research workflows Ensuring problems require computational approaches rather than only manual calculations Developing challenges in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on actual research questions or practical scenarios in optics and physics Writing clear problem statements and providing verified solutions Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related discipline Minimum 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research processes Creative problem-solving skills across physics topics Knowledge of physics modeling and approximation methods Strong written English skills at C1 level or higher How to apply Apply Pass the qualification process Join a project Complete assigned tasks Receive compensation Time commitment Project periods typically require a commitment of 10 to 20 hours per week. Actual hours may vary depending on project needs. This estimate does not guarantee a specific workload. Compensation Earnings can reach up to $45 per hour, depending on expertise and contribution speed. Compensation varies by project based on scope, complexity, and required skills. Other projects on the Mindrift platform may offer different rates depending on requirements. Location: Remote , Stuttgart, Baden-Württemberg, Germany

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.

Are you eager to explore the frontiers of AI? Join us as a founding member of the Flower Frontier Model Team, an innovative group at Flower Labs. Our mission is to develop groundbreaking models that merge state-of-the-art practices with Flower's revolutionary decentralized learning techniques. This role takes a significantly different approach compared to traditional frontier labs, facilitating GPU scaling while unlocking new data silos for frontier model training.Our goal is to create models with superhuman capabilities across various domains, including science, health, finance, drug discovery, and beyond. This is your chance to help innovate and establish the training paradigms that will shape the next decade of artificial intelligence and work on technologies that will influence future developments in the field.Position OverviewPreference will be given to candidates with post-training expertise, but we encourage all passionate individuals with a proven record of excellence to apply, regardless of their prior experience.As a founding Research Engineer, you will be instrumental in developing state-of-the-art LLMs and foundational models within a compact, high-impact team of professionals with diverse research and engineering backgrounds. You will have the opportunity to influence every aspect of the scientific groundwork for our frontier models. Expect to be hands-on, transforming your best ideas into functional systems and working closely with the team to scale the most effective strategies. The techniques you create will contribute to world-leading models that will be open-sourced and integrated into new Flower Lab products.We anticipate that you will infuse creativity into your work while maintaining a methodical approach to experimentation and remain informed about the latest advancements from other AI laboratories. This knowledge will guide how you design and implement techniques and conduct experiments across all stages relevant to frontier model development: data curation, evaluations, pre-training, and post-training. Everything is on the table as we aim to release our first series of models. While experience in these areas is valued, a strong emphasis on problem-solving, on-the-job learning, and collaborative work to effectively leverage the team's diverse talents is essential for success.

Join Bosch Group as a Research Engineer in AI Validation, where you will play a crucial role in ensuring the reliability and performance of artificial intelligence systems. You will collaborate with cross-functional teams to develop innovative validation methodologies and contribute to the advancement of AI technologies.

At Bosch, we are pioneers of innovation, dedicated to shaping the future of intelligent systems that are efficient, safe, and improve lives worldwide. We are looking for a forward-thinking Research Engineer to join our vibrant team, specializing in the dynamic intersection of reinforcement learning (RL) and agentic AI. Your innovative contributions will significantly influence critical Bosch sectors, such as automated driving, smart home solutions, energy management, and advanced manufacturing. As an integral part of our team, you will elevate the capabilities of AI technology, spearheading foundational research and developing core systems that will directly enhance Bosch's product offerings. Join us in converting complex challenges into tangible solutions.In this role, you will lead the design and architecture of cutting-edge AI systems, focusing on the seamless integration of reinforcement learning with agentic AI systems and multi-modal foundational models.Your responsibilities will include training and fine-tuning multi-modal large models to ensure their behavior aligns with Bosch's product specifications and real-world applications.You will push the boundaries of AI by improving existing machine learning frameworks and integrating innovative data-driven, generative techniques with secure, scalable reinforcement learning methodologies.A major component of your work will involve conducting original research, leading impactful projects that address complex scientific and practical issues at the intersection of RL and agentic AI, thereby making a significant contribution to Bosch's product line.Collaboration will be essential, as you will work closely with internal stakeholders and product teams to thoroughly understand their needs, conceptualize groundbreaking solutions, and deliver high-quality Minimum Viable Products (MVPs).Additionally, you will have the opportunity to share your insights by publishing and presenting your research findings in top-tier academic forums, while actively contributing to the larger scientific community.

We kindly request that you submit your CV in English and specify your English proficiency level.Mindrift fosters connections between specialists and project-based AI opportunities with leading tech firms, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is based on project work, not permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be involved in:Crafting original computational physics problems that reflect authentic physics research workflows;Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);Creating challenges that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research hurdles or practical applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Desired QualificationsThis position is ideal for physicists experienced in Python who are open to part-time, temporary projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or familiarity with any programming language is acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;Familiarity with numerical simulation techniques;The capability to design problems that replicate genuine physics research workflows;Creative problem-solving skills across various physics disciplines;An understanding of physics modeling and approximation methods;Strong command of written English (C1+).Process OverviewApply → Pass qualification criteria → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationOn this project, contributors may earn up to $45 per hour, contingent on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please be aware that other projects on the platform may offer different compensation levels based on their specific requirements.

Join the DeepL TeamAt DeepL, we are revolutionizing how the world communicates through advanced AI solutions. As a leading global AI product and research company, we empower over 200,000 businesses and millions of users across 228 countries with our innovative Language AI platform, enabling seamless translation, enhanced writing, and real-time voice translation. Our commitment to excellence and security has made us a trusted partner for effective communication. Founded in 2017 by CEO Jarek Kutylowski, our diverse team of over 1,000 employees is supported by top-tier investors including Benchmark, IVP, and Index Ventures.We aspire to lead the global market in intelligent AI technology that fosters better communication and impactful connections. If you are ready to influence the future of AI and advance your career in a dynamic and purpose-driven environment, DeepL is the ideal place for you.Why Choose Us?DeepL stands out for its cutting-edge AI technology, meaningful contributions, and a supportive culture that nurtures talent. Our team consists of innovative thinkers, researchers, and creators united by a common goal: unlocking human potential by enhancing the simplicity, intelligence, and connectivity of work.Discover the positive experiences from our employees and find out how our technology significantly impacts communication and productivity for millions. At DeepL, you will be part of a community dedicated to innovation, growth, and well-being.Learn more about life at DeepL on our LinkedIn, Instagram, and our Blog.About the Language AI TeamOur Language AI team is the backbone of DeepL’s success. We collaborate closely with engineers, product managers, and designers to develop the world’s leading language AI system, delivering exceptional translations for the most challenging applications. We take pride in managing the full life cycle of machine learning models, ensuring high-quality outcomes.

We invite you to submit your CV in English, highlighting your proficiency in the language.Mindrift serves as a bridge connecting experts with project-specific AI roles for top-tier tech firms, concentrating on the evaluation, testing, and enhancement of AI systems. Note: This is a project-based opportunity and not a permanent position.Project OverviewEach project presents unique challenges, including:Designing innovative computational physics problems that replicate authentic physics research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);Creating problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research challenges or practical applications within the field of physics;Validating solutions using Python in conjunction with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideally suited for quantum researchers experienced in Python and open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Equivalent experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is acceptable;Over 2 years of relevant professional experience, including applied research or teaching;Expertise in numerical simulation methods;The capability to design problems that reflect real-world physics research workflows;Creativity in problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessApply → Pass qualifications → Engage in a project → Complete tasks → Receive paymentExpected CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project specifications. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $45 per hour, contingent upon their experience and contribution pace. Compensation may vary by project scope, complexity, and required expertise. Note that other projects may offer different compensation levels based on their specifications.

At Akeno, we are pioneering the development of cutting-edge AI-native production planning and scheduling software tailored for process industries and pharmaceutical manufacturing. Our solution is deeply complex and serves large enterprise clients where effective planning is critical to success.We are seeking a highly skilled Senior Solutions Engineer specializing in AI and Operations Research for Planning and Scheduling. This role encompasses the entire post-sales lifecycle, which includes implementation handover, go-live support, steady-state operations, and ongoing value delivery. Unlike a consulting role, your primary focus will be ensuring customer success with our product while continuously integrating your insights back into our offerings to enhance each implementation.As the most senior technical representative on the customer-facing side, you will connect product, engineering, and the operational realities of our clients. You will significantly influence how we develop our support and enablement functions as we grow.

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.

Intrinsic Robotics, a pioneering venture within Alphabet, is dedicated to revolutionizing the landscape of industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will reshape the capabilities of industrial robotics in the near future, with software and data at the heart of this transformation. Our mission is to make intelligent industrial robotics accessible and usable for a multitude of businesses, entrepreneurs, and developers. We are a vibrant group of engineers, roboticists, designers, and technologists, all committed to unleashing the creative and economic potential of industrial robotics.Role OverviewIn your capacity as a Senior Research Engineer specializing in Data Engine, you will spearhead the design and implementation of systems that facilitate the training, deployment, and utilization of large-scale AI models for robotics. Your leadership will shape the technical direction, mentor fellow engineers, and ensure the establishment of robust, scalable data pipelines and machine learning infrastructure essential for enhancing the capabilities of robots in real-world settings. Your contributions will empower both internal teams and external partners by delivering accessible tools and infrastructure for integrating advanced AI methodologies into robotic applications.Key ResponsibilitiesLead the architecture and execution of infrastructure for training and deploying large-scale robotic foundation models.Manage the development and upkeep of data pipelines for the collection, processing, and integration of real-world robot data into machine learning workflows.Enable machine learning researchers and engineers with user-friendly tools and infrastructure for leveraging AI techniques in robotics.Collaborate with product and engineering teams to specify infrastructure needs and deliver effective solutions for both partners and customers.

Bosch Group is seeking a Research Engineer to focus on Neuro-Symbolic AI and Multimodal Assistant Systems at the Renningen location. This position centers on research and development that blends symbolic reasoning with neural network approaches. Role overview This role involves advancing AI systems that combine logic-based reasoning with machine learning. The aim is to improve how artificial intelligence understands and interacts with complex environments. What you will do Contribute to research projects that integrate neural and symbolic methods Develop and refine AI technologies for use in diverse applications Impact Your work will support the evolution of AI capabilities, helping shape future technologies that rely on both data-driven and knowledge-based approaches.

Bosch Group is seeking a Research Engineer with a focus on Neuro-Symbolic AI and Multimodal Assistant Systems. This position centers on advancing research and development projects that blend symbolic reasoning with neural network approaches. Role overview This role involves working on intelligent assistant solutions that bring together multiple input types, including text, voice, and vision. The aim is to drive innovation at the intersection of symbolic and neural AI methods. What you will do Contribute to research that combines symbolic reasoning with neural networks Support the development of assistant systems capable of processing and integrating different modalities Help advance Bosch’s work on intelligent, multimodal assistant technologies Location This position is based in Renningen.

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.