Software Engineer - Ground to Air Human-Machine Interface

Who We AreHelsing is a pioneering defense artificial intelligence company. Our mission is to safeguard our democratic values and ensure that open societies can maintain their autonomy and ethical standards through technological leadership.We recognize our unique responsibility to thoughtfully develop and deploy transformative technologies like AI, and we take this duty seriously.Our team is ambitious and dedicated, consisting of engineers, AI experts, and program managers who engage directly with our clients. We seek mission-driven individuals to join our European teams and tackle the most complex and impactful challenges. Our culture is open and transparent, encouraging healthy discussions regarding the ethical implications and benefits of technology in defense.The RoleOur Ground to Air Human-Machine Interface (HMI) empowers air forces to operate autonomous systems effectively during missions. We develop software that must adhere to stringent technical constraints while functioning in ever-evolving environments. The software supports a diverse range of challenging use cases, from mission planning to command and control (C2) and debriefing, necessitating reliability and seamlessness.This role presents a variety of engaging backend and frontend engineering challenges across multiple domains that you will help us address. Examples include:Distributed systems (e.g., intermittent connectivity and eventual consistency)

About UsAt Helsing, we are on the forefront of defense technology, specializing in artificial intelligence to safeguard democracies. Our goal is to ensure that open societies retain the ability to make independent decisions and uphold their ethical standards.As champions of democracy, we recognize our unique obligation to responsibly develop and implement advanced technologies like AI. This responsibility is at the heart of our mission.We are a dedicated and dynamic team of engineers, AI experts, and customer-oriented program managers, seeking individuals driven by a sense of purpose to join our European teams. Here, you will apply your expertise to tackle the most intricate and impactful challenges. We cultivate a culture of openness and transparency, encouraging healthy discussions about the role of technology in defense, its advantages, and ethical considerations.Your RoleAs a Software Engineer, you will design the autonomy system for a pioneering autonomous aerial platform that will take to the skies. You will not only develop software but also integrate cutting-edge reinforcement learning agents into the operational systems of our Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, as part of the innovative Centaur project. This is a rare opportunity to significantly contribute to a groundbreaking autonomous system built from the ground up.Operating at the intersection of machine learning and systems engineering, you will embed reinforcement learning agents into high-performance runtime systems, facilitating real-time autonomous decision-making during flight. Your code will empower the CA-1 Europa to perceive, reason, and act autonomously in the most challenging environments.The solutions we create ultimately serve real people in high-risk, high-stress situations, requiring our work to be exceptionally reliable.

Join our innovative team at Jobs for Humanity as a Software Engineer. In this role, you will be instrumental in designing, developing, and maintaining software solutions that empower marginalized communities. Your expertise will help us create user-friendly applications that make a real difference in people's lives.

Axel Springer SE seeks a Staff or Senior Software Engineer specializing in Machine Learning to join the Berlin team. This role influences how the organization applies technology to reach and engage its audience. Key Responsibilities Design and improve machine learning algorithms for practical, real-world use. Collaborate with colleagues across departments to deliver meaningful projects. Contribute to the growth and enhancement of data-driven products and solutions. What We Value Creative approaches to solving complex technical challenges. Initiative and motivation to drive projects forward. Curiosity about new technologies and their practical applications. This position offers the chance to shape technology at Axel Springer SE and work on projects that reach a broad audience.

Role Overview Delivery Hero SE is looking for a Senior Software Engineer focused on Machine Learning to join the quick commerce group in Berlin. This role centers on building and refining machine learning solutions that support and improve our rapid delivery operations. What You Will Do Design, implement, and optimize machine learning algorithms and models for quick commerce applications. Work closely with cross-functional teams to translate business needs into technical solutions. Apply machine learning expertise to boost operational efficiency and enhance customer experience. Contribute to projects that help Delivery Hero respond quickly to changing market demands. About the Team Join a group of engineers and specialists dedicated to advancing Delivery Hero’s quick commerce services. Collaboration across teams is a core part of the work, with each member’s input shaping the direction and impact of our products.

Machine Learning Engineer Company Overview At Orcrist Technologies, we are pioneers in building the Orcrist Intelligence Platform (OIP), a cutting-edge Kubernetes-based data intelligence system. Our platform is offered as either SaaS or a self-hosted/on-premises solution, including air-gapped deployments. We integrate data processing, machine learning, and artificial intelligence within a modern web application to empower mission-critical clients across both public and private sectors. Role Overview As a Machine Learning Engineer, you will spearhead the incubation and validation of new ML initiatives from conception to execution. In this innovative role, you will create adoption-ready prototype vertical slices that encompass data flows, model serving, evaluation, and seamless product integration. You will ensure clear handoff of artifacts to delivery teams so they can effectively productize and maintain them for the long haul. Key Responsibilities Develop ML prototype vertical slices that bridge data ingestion and processing with inference and end-user product outcomes (such as search functionalities, insights generation, and user experience flows). Establish evaluation harnesses and decision-making artifacts including datasets, baselines, and performance metrics (quality, latency, cost), along with actionable go/no-go recommendations. Package prototypes for seamless adoption: containerize services, specify reproducible deployment strategies, and create comprehensive runbooks/checklists. Collaborate with Research and Data Engineering teams for dataset curation, annotation processes, experiment tracking, and iterative improvements. Ensure operational credibility of prototypes through instrumentation, monitoring, and foundational security/compliance practices (including handling of personally identifiable information and provenance considerations). Candidate Profile A minimum of 3 years of experience in ML engineering or MLOps, with a proven track record of delivering tangible systems. Proficient in Python and experienced with PyTorch/Transformers; adept at transforming models from notebooks into deployable services. Hands-on experience with Kubernetes and containerization; capable of deploying and troubleshooting within production-like environments, including offline or air-gapped constraints. A strong evaluation mindset and monitoring discipline; effective in clearly articulating trade-offs. Eligibility to work in Germany; EU or NATO citizenship is preferred, and export-control screening applies. Preferred Qualifications Experience with GPU serving and optimization techniques (e.g., Triton/KServe, ONNX/TensorRT, batching, quantization). Familiarity with streaming and pipeline tools (e.g., Kafka, Ray, Beam/Flink/Spark) and integrations involving search, vector, and graph technologies. Proficiency in the German language (B1+) and/or experience working with regulated or public-sector datasets and workflows. What We Offer A modern ML stack designed to operate within real-world constraints: Kubernetes, streaming technologies, and hybrid/on-prem/air-gapped deployments. A remote-first work environment in Germany, complemented by regular workshops in Berlin, 30 days of vacation, and support for equipment and learning budgets. High impact: your prototypes will pave the path for groundbreaking solutions.

Join Almedia, a dynamic and innovative company where ambition meets opportunity. As we strive to become Germany’s next bootstrapped unicorn, we are proud to be recognized as Europe’s third fastest-growing company in 2025 according to the FT1000.At Almedia, we are revolutionizing the marketing landscape by enabling our vast community of over 60 million users to earn rewards for interacting with our advertisers' products, providing a unique approach to user acquisition for major global brands.Machine Learning EngineerIn this pivotal role, you will be responsible for the design, development, and scaling of production-grade machine learning solutions that drive the innovation of Almedia’s offerings and support our growth trajectory.This is a hands-on position where you will actively engage in coding, development, and deployment of solutions.Key Challenges You Will Tackle:Creating and optimizing user reward systems tailored to player behavior and market trends.Spearheading the development of personalized, real-time reward mechanisms.Identifying and addressing underperforming reward initiatives and their underlying issues.Your Responsibilities Include:Overseeing the complete delivery lifecycle: develop, deploy, and optimize scalable solutions and services.Providing technical guidance on ML projects, upholding best practices and ensuring high coding standards.Aligning technical capabilities with business goals to capitalize on high-value opportunities.Utilizing advanced statistical and causal inference techniques to secure robustness and reliability in solutions.Collaborating with product and engineering teams to convert business challenges into predictive, data-driven solutions.Qualifications Required:Demonstrated expertise in building, deploying, and maintaining production-level solutions and services, preferably in adtech or high-scale environments.Solid understanding of statistical analysis (A/B testing, regression, probability).Proficient in programming with Python and SQL, with practical experience in cloud technologies.Proven ability to mentor and guide ML engineers and cross-functional colleagues.Excellent communication skills and a collaborative mindset.

About UsHelsing is a cutting-edge defense AI company dedicated to safeguarding democracies. Our mission is to achieve technological leadership to enable open societies to maintain sovereign control over their ethical standards.We recognize our unique responsibility to thoughtfully develop and deploy powerful technologies such as AI, and we take this duty seriously.Our team comprises ambitious engineers, AI experts, and customer-focused program managers, all driven by a mission to tackle some of the most complex and impactful challenges. We foster an open and transparent culture encouraging healthy discussions about the ethical implications and benefits of technology in defense.The RoleJoin our Autonomous Air System Verification & Validation (V&V) team, where we create simulation and validation environments essential for rigorous testing of autonomous aerial systems prior to deployment. We develop Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) frameworks that allow engineers to integrate, test, and validate AI-driven functionalities against realistic hardware setups.Our projects involve navigating significant and unconventional technical constraints, adapting to a diverse range of dynamic environments, and addressing an expanding array of intricate use cases. The software we develop is used by individuals in high-risk and high-stress scenarios—covering mission planning, command and control (C2), and mission debriefing—requiring utmost reliability and seamless performance.By joining us, you will face exciting backend engineering challenges across various domains, contributing to solutions that have real-world implications.

About UsHelsing is at the forefront of defence technology, specializing in artificial intelligence. Our mission is to safeguard democratic values and ensure that societies maintain sovereignty over their ethical standards through advanced technology.As a team of dedicated engineers, AI experts, and program managers, we are committed to tackling complex challenges in our field. We actively seek individuals whose passion aligns with our mission to contribute to meaningful technological advancements. Our culture promotes open discussions about the implications and ethics of technology in defence, ensuring a thoughtful approach to innovation.The PositionJoin our Autonomous Air System Validation and Verification (V&V) team, where we create sophisticated simulation and validation environments essential for rigorously testing autonomous air systems. Our work involves developing Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) frameworks that facilitate the integration, testing, and assurance of AI capabilities against simulated and real-world hardware.The software we develop is designed to meet high standards despite unconventional technical constraints. It must adapt to various dynamic environments and cater to a growing array of demanding use cases. Our solutions are critical for real-world applications, from mission planning to command and control, necessitating high reliability and seamless operation.The role encompasses a wide spectrum of fascinating engineering challenges across multiple disciplines, and we value innovative solutions that drive our mission forward.

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 Air Apps Air Apps began as a family-founded company in Lisbon, Portugal in 2018. The team focuses on building AI-powered tools for personal and entrepreneurial planning, including the Personal & Entrepreneurial Resource Planner (PRP). Over 100 million downloads worldwide mark a significant milestone for the self-funded company, which now has offices in Lisbon and San Francisco. Air Apps pursues long-term goals, working to challenge standard approaches and develop AI-driven solutions that make a real difference. The company values innovation and aims to empower people globally through its products. Site Reliability Engineer Role The Site Reliability Engineer (SRE) will help maintain and improve the reliability, availability, and scalability of Air Apps’ systems. This role bridges software development and operations, focusing on automation, monitoring, and performance tuning to reduce downtime and strengthen system resilience. Work Location This position is fully onsite at the Lisbon office. Collaboration with cross-functional teams is central to the role. Relocation support is available for the right candidate.

About Air Apps Air Apps builds AI-powered tools for resource management, including the Personal & Entrepreneurial Resource Planner (PRP). Founded by a family in 2018, the company started in Lisbon, Portugal, and now has a growing presence in San Francisco. Air Apps has reached over 100 million downloads worldwide and remains self-funded. The team focuses on long-term goals and regularly challenges established approaches, pushing the boundaries of AI to create products that help people manage their resources more effectively. Role Overview: Release Engineer The Release Engineer manages the end-to-end release process for Air Apps products. This role covers versioning, build management, and deployment workflows, making sure new features and updates reach users reliably. Working onsite in the Lisbon office, the Release Engineer collaborates with development, QA, DevOps, and product teams. The focus is on improving and automating release cycles, reducing risk, and maintaining high standards for software delivery. This is a fully onsite position in Lisbon. Relocation assistance is available for those moving to join the team. Main Responsibilities Oversee and improve versioning, build, and deployment processes for Air Apps applications Work closely with engineering, QA, DevOps, and product teams to coordinate releases Automate release workflows where possible Identify and address risks in the release cycle Help maintain high standards for software delivery Location Onsite in Lisbon office (relocation assistance provided)

At SoundCloud, we empower artists and fans to connect through the power of music. Established in 2007, SoundCloud is a leading artist-first platform, enabling musicians to build and elevate their careers with cutting-edge tools, services, and resources. With a vast library of over 400 million tracks from 40 million artists, SoundCloud is shaping the future of music.We are actively seeking a Senior Machine Learning Engineer to join our Recommendations Experience team. This role focuses on developing machine learning-driven features that enhance personalization, engagement, and overall satisfaction for our users. In this position, you will leverage strong engineering principles while working across the entire technology stack, from data pipelines and APIs to real-time serving systems. The Recommendations team is responsible for deploying ML-powered features that connect over 200 million users with music tailored to their preferences.In this role, you will take ownership of features from conception to deployment: collaborating with Product and Design teams to understand user needs, architecting data pipelines that process billions of events, and building robust production ML systems that balance performance, cost, and user satisfaction. You will work with technologies such as BigQuery (handling trillions of rows), Airflow orchestration, real-time serving infrastructure (BigTable), and APIs, while engaging in continuous collaboration with Product, Design, Engineering, and Platform teams.Key Responsibilities:Develop, test, and productionize machine learning models.Make informed technical decisions factoring in cost, latency, complexity, and maintainability.Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to create reliable and scalable solutions.

Role Overview Reprisk is hiring a Senior Machine Learning Engineer in Berlin. This position focuses on building and improving machine learning systems that support risk management products. The role centers on strengthening data processing and improving predictive models used throughout the company.

Join Your Career at Confidia!Are you experienced in financial accounting, annual financial statements, and tax returns, while also having a keen interest in the technical optimization of these processes? Do you enjoy collaborating with colleagues internally and working alongside clients externally to develop and implement these processes?Then you are exactly who we are looking for!What We Offer YouA responsible role with ample room for creativity.The opportunity to merge tax expertise with digitalization.Flexible working hours and modern work structures.Individual training and development opportunities.A supportive, collegial environment in a modern law firm.Your ResponsibilitiesAnalyze existing workflows and identify potential for automation and standardization.Optimize and implement digital processes (setting up interfaces, supporting colleagues and clients in optimizing technical processes, and assisting with technical problems).Contribute to digitalization projects and continuous process improvement within the firm.Independently manage financial accounting, annual financial statements, and tax returns.

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 Our Innovative TeamAt Prior Labs, we are pioneering the development of foundation models that adeptly comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the fields of text and image processing, structured data has largely been overlooked. We are seizing the opportunity to address this $600 billion market and fundamentally transform how organizations manage scientific, medical, financial, and business data.Our Achievements: We stand at the forefront of structured data machine learning. Our TabPFN v2 model, featured in Nature, has set a new benchmark in tabular machine learning. Since its launch, we have enhanced our model capabilities over 20 times, achieved over 2.5 million downloads, garnered more than 5,500 stars on GitHub, and are witnessing rapid adoption across both research and industry sectors. We are currently developing the next generation of tabular foundation models and actively commercializing them in collaboration with global enterprises in Europe and the U.S.About Our Team: We are a compact, highly selective team of over 20 engineers and researchers, chosen from more than 5,000 applicants. Our team includes talents from industry giants like Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and supported by renowned AI researchers, including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet our exceptional team here.Looking Ahead: With backing from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting opportunity to join us and contribute to shaping the future of structured data AI. Read our manifesto.Your ImpactIn this role, you will do more than simply deploy models; you will play a crucial role in delivering transformative solutions that redefine how organizations leverage data. You will work at the intersection of advanced AI technology and practical applications, collaborating closely with our key strategic partners.

Join Our Innovative TeamAt Prior Labs, we are revolutionizing the way organizations interact with structured data, the cornerstone of science and business. While foundation models have significantly advanced the fields of text and image processing, structured data has largely been overlooked. We are seizing a $600 billion opportunity to transform how scientific, medical, financial, and business data are utilized.Leading the Charge: We are recognized as the premier organization in structured data machine learning. Our TabPFN v2 model, highlighted in Nature, has set a new benchmark in tabular machine learning. Our capabilities have expanded over 20 times since launch, with over 2.5 million downloads and 5,500+ stars on GitHub, leading to rapid adoption in both research and industry. We are now advancing the next generation of tabular foundation models and partnering with major enterprises across Europe and the US.Our Team: We are a tight-knit team of over 20 engineers and researchers, handpicked from a pool of more than 5,000 applicants, with backgrounds from renowned companies like Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. Our team is guided by the creators of TabPFN and supported by leading AI experts such as Bernhard Schölkopf and Turing Award winner Yann LeCun. Get to know our team here.Looking Ahead: With backing from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are rapidly expanding. This is the perfect moment to join us and help shape the future of structured data AI. Explore our manifesto.

About Air Apps Air Apps builds AI-powered tools designed to help people plan, work, and live more effectively. Founded in Lisbon, Portugal in 2018 by a family with a clear vision, the company has grown to operate from both Lisbon and San Francisco. Air Apps remains self-funded and has reached over 100 million downloads worldwide. The team focuses on creating long-term impact by developing AI-driven solutions that challenge the status quo. Their flagship product is the Personal & Entrepreneurial Resource Planner (PRP), aimed at empowering individuals and entrepreneurs globally. Air Apps values creativity and a willingness to rethink how resource management can improve daily life. The company seeks team members who want to help shape products that make a difference for users around the world.

About Air Apps Air Apps develops AI-powered tools to help people plan, work, and manage resources more effectively. Founded in 2018 in Lisbon, Portugal, the company has grown to serve users worldwide, with over 100 million downloads. Air Apps remains self-funded and operates from Lisbon and San Francisco. Role Overview The Software Architect (also referred to as Solutions Architect) will define and oversee the system architecture for Air Apps’ AI-driven platform. This role works closely with engineering teams, product managers, and stakeholders to design solutions that are scalable, secure, and high-performing. The architect helps set the technology strategy, evaluates new tools and frameworks, and ensures best practices in software design, cloud infrastructure, and system integration are followed. Key Responsibilities Design and maintain the overall architecture for the AI-powered platform. Collaborate with cross-functional teams to align architecture with business objectives. Assess and recommend new technologies and frameworks. Ensure security, scalability, and performance across systems. Promote best practices in software design, cloud infrastructure, and integration. Location and Work Setup This is a fully onsite position based in the Lisbon office. Collaboration with cross-functional teams happens in person. Relocation support is available for candidates moving to Lisbon.