All active ML Engineer roles based in Berlin.
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Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.
Project Ownership & Delivery
Customer & Stakeholder Management
Cross-Functional & Pod Coordination
Methodology & Process Discipline
Metrics & Reporting
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
As Senior Data Engineer – Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation. Today, business-critical data lives across dozens of disconnected tools with no unified way to access it — you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate. Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact.
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
We’re looking for passionate and product-minded Backend Engineers to join our Discovery team - the group behind some of the most visible and impactful parts of Wolt’s consumer app. You’ll work on features that help millions of users discover their next favorite restaurant, grocery store, or product- from the homepage and category views to new vertical experiences like groceries, electronics, pet food, and health & beauty.
This is more than just a backend engineering role. We’re looking for someone who combines strong technical skills with curiosity, ownership, and a deep interest in creating meaningful user experiences at scale.
We're building teams at the forefront of agentic coding. This goes beyond autocomplete or occasional prompting. We’re looking for engineers who:
If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in.
Join our Discovery team and shape how users experience Wolt from the moment they open the app.
You will be based in Helsinki, and be a part of a distributed, cross-functional team with engineers in Berlin and Helsinki. We operate in a remote-friendly environment designed to encourage collaboration and innovation.
These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us!
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Ready to apply?
Apply to Wolt - English
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
We’re looking for a Senior Hypervisor Engineer to contribute to the development of our hyperscaler platform.
The Hypervisor team supports and develops the parts of the Cloud platform that directly affect the KVM hypervisor and QEMU device emulator. We understand the granular details of hardware virtualization and device emulation, paying close attention to performance and protection against untrusted code.
You will work on substantial extensions for the QEMU/KVM virtualization stack in close cooperation with the opensource community.
We conduct coding interviews as part of the process.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
We’re looking for a Senior Hypervisor Engineer to contribute to the development of our hyperscaler platform.
The Hypervisor team supports and develops the parts of the Cloud platform that directly affect the KVM hypervisor and QEMU device emulator. We understand the granular details of hardware virtualization and device emulation, paying close attention to performance and protection against untrusted code.
You will work on substantial extensions for the QEMU/KVM virtualization stack in close cooperation with the opensource community.
We conduct coding interviews as part of the process.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Our Ground to Air HMI enables air forces to operate autonomous systems in missions. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.
Taken together, this brings a whole host of interesting backend and frontend engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:
Distributed systems (e.g., intermittent connectivity and eventual consistency)
Human-autonomy teaming (e.g., HMIs for effective human oversight and control)
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
Real-time interfaces (e.g., tactical situation display and streaming sensor feeds)
Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)
Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)
Machine learning (e.g., systems for model development, storage, and dissemination)
In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.
Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust, Python, and TypeScript, with Python mainly living in the ML-heavy sections, TypeScript being used in our UIs, and Rust being used in backends, onboard, and embedded software.
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.
Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Are familiar with backend interface tools like REST APIs, webRTC, gRPC/Protocol Buffers, and Arrow.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Development experience with a language like Rust, Java, Go, or C++.
State-of-the-art experience with frameworks like React.
Experience in designing long-lived protocols and data schemas for system integration.
Enjoy designing data-heavy UIs and have strong prototyping skills.
Experience building aviation software according to DALs and standards like DO-278.
Knowledge about NATO UCS standards like STANAG 4586/AEP-84.
Knowledge about Metrics tooling (e.g., Prometheus, Grafana, ELK).
Experience with production ML systems.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Our Autonomous Air System V&V team builds the simulation and validation environments that enable rigorous testing of autonomous air systems before they ever leave the ground. We develop Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) environments that allow engineers to integrate, test, and assure AI-driven capabilities against virtualised and representative hardware.
We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.
Taken together, this brings a whole host of interesting backend engineering challenges across a wide variety of fields that you'll help us solve. To give some examples:
Simulation frameworks (e.g., high-fidelity SiL/HiL environments, real-time and deterministic simulation)
Test automation (e.g., fault injection, automated test coverage, regression testing at scale)
Hardware-software integration (e.g., testing against representative hardware, sensor and actuator interfaces)
Real-time and high-performance computing (e.g., concurrency, low-latency execution, profiling and optimization)
Distributed systems (e.g., orchestrating complex multi-component test environments)
Deployment infrastructure (e.g., air-gapped devices and heterogeneous test rigs)
Machine learning (e.g., systems for testing and validating AI/ML model behaviour)
In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.
Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Design and develop modules in simulation and validation frameworks, writing high-performance Rust code for simulators and test infrastructure.
Build tools for automated test coverage, fault injection, and regression testing to ensure comprehensive validation of autonomous systems.
Work closely with autonomy and systems teams to capture requirements and ensure simulation environments accurately represent real-world conditions.
Debug and profile simulation performance, identifying bottlenecks and optimizing for speed, determinism, and fidelity.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is primarily Rust and Python.
Maintain documentation and testing infrastructure, ensuring that our simulation environments are well-documented and accessible to other teams.
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.
Write modern, maintainable Rust.
Have experience in simulation, testing, robotics frameworks or autonomous driving.
Are comfortable with complex systems and concurrency.
Care about reliability, performance, and safety.
Enjoy working on the interface between software and hardware.
Are motivated by fast feedback loops and real impact.
Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Aerospace or automotive background.
Software/Hardware-in-the-loop or simulation experience.
Experience building test rigs or ground-based integration systems.
Knowledge of flight dynamics or control systems.
Exposure to AI/ML systems testing.
Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).
Metrics tooling (e.g., Prometheus, Grafana, ELK).
Production ML systems.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. At Helsing, you won't just be developing software; you'll be integrating state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.
Working at the intersection of machine learning and systems engineering, you'll integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight. This isn't theoretical; your code will enable the CA-1 Europa to perceive, reason, and act autonomously in the most demanding environments.
What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so it must be both reliable and frictionless. To give some examples:
Autonomous Decision-Making Systems — reliable pipelines from sensor data to RL inference to tactical execution, including edge-case and failure-mode handling.
Reinforcement Learning Integration — bridging Python-based RL agents with Rust runtime systems for low-latency, reproducible inference.
Distributed Systems & Communications — handling intermittent connectivity and bespoke hardware protocols.
Training Infrastructure — distributed training, evaluation pipelines, and large-scale runs on custom simulators.
In some areas, we're working at the state-of-the-art—actively implementing research papers and pushing further. In others, we're applying proven techniques to real-world situations they've never encountered before. Both require skill, diligence, and deep technical understanding.
Our software operates under significant constraints, in constantly-changing environments, for users in high-risk situations. It must be reliable and frictionless. That's what makes this work hard—and worth doing.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level, including hardware-in-the-loop (HIL) simulations and flight testing. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Review code contributions, proposals, and RFCs from colleagues, ensuring robustness and adherence to safety and performance standards critical for airborne applications. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack, with a focus on refining the capabilities and reliability of our airborne mission systems. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming, particularly on complex system architectures involving tight hardware-software integration on a real-world aerial platform.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have strong backend or embedded development experience, ideally with a language like Rust, Go, or C++.
Feel comfortable working with Python with the ML-heavy sections of the stack.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Rust and Python specifically.
Experience in deploying Reinforcement Learning or Machine Learning agents in real-world systems
Safety Programming Experience
Familiarity with low-level flight control systems and their interfaces, even if not directly developing them.
Experience with sensor integration (IMUs, GPS, Lidar, Cameras) and sensor fusion techniques for navigation.
Robotics (e.g., control systems).
Production ML systems.
Hardware interfaces (e.g., Arduino).
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Imagine building the vital infrastructure for a cutting-edge autonomous aerial platform that will actually take flight. At Helsing, you won't just be developing software; you'll be shaping the foundational capabilities for our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa. This is a unique opportunity to directly contribute to a novel system designed from the ground up.
You will be building the higher-level mission control foundation, the sophisticated infrastructure that enables real-time sensor processing, secure communication, seamless integration of autonomous decision-making modules, and reliable interfacing with lower-level flight control systems. This isn't theoretical; your code will be critical to the CA-1 Europa's ability to fly, perceive, and operate effectively in the most demanding environments.
We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so it must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:
Distributed systems & Communications (e.g., intermittent connectivity and integrating with bespoke communication hardware and protocols)
Embedded computing (e.g., resource-constrained compute and real-time operating systems)
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
Deployment & Integration Infrastructure (e.g., designing and implementing custom secure runtime environments for vendor code)
In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.
Review code contributions, proposals, and RFCs from colleagues, ensuring robustness and adherence to safety and performance standards critical for airborne applications. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack, with a focus on refining the capabilities and reliability of our airborne mission systems. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level, including hardware-in-the-loop (HIL) simulations and flight testing. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.
Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming, particularly on complex system architectures involving tight hardware-software integration on a real-world aerial platform.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have strong backend or embedded development experience, ideally with a language like Rust, Go, or C++.
Feel comfortable developing distributed systems.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.
Significant experience with Rust.
Network programming experience.
Experience designing or implementing custom runtime environments, sandboxing, or secure execution contexts for third-party code.
Experience with avionics, flight control systems, or Guidance, Navigation, and Control (GNC).
Familiarity with low-level flight control systems and their interfaces, even if not directly developing them.
Experience with sensor integration (IMUs, GPS, Lidar, Cameras) and sensor fusion techniques for navigation.
Hardware interfaces (e.g., Arduino).
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:
Distributed systems (e.g., intermittent connectivity and byzantine actors)
Embedded computing (e.g., resource-constrained compute and reverse-engineering)
Robotics (e.g., control systems and tasking)
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)
Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)
Machine learning (e.g., systems for model development, storage, and dissemination)
In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.
Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.
Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have backend development experience, ideally with a language like Rust, Java, Go, or C++.
Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Rust and Python specifically.
Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).
Metrics tooling (e.g., Prometheus, Grafana, ELK).
SQL and streaming database systems.
Routing protocols (e.g., IGP, BGP).
Cryptographic protocols (e.g., Signal, WireGuard).
Hardware interfaces (e.g., Arduino).
Robotics (e.g., control systems).
Production ML systems.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:
Distributed systems (e.g., intermittent connectivity and byzantine actors)
Embedded computing (e.g., resource-constrained compute and reverse-engineering)
Robotics (e.g., control systems and tasking)
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)
Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)
Machine learning (e.g., systems for model development, storage, and dissemination)
In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.
Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.
Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have backend development experience, ideally with a language like Rust, Java, Go, or C++.
Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Rust and Python specifically.
Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).
Metrics tooling (e.g., Prometheus, Grafana, ELK).
SQL and streaming database systems.
Routing protocols (e.g., IGP, BGP).
Cryptographic protocols (e.g., Signal, WireGuard).
Hardware interfaces (e.g., Arduino).
Robotics (e.g., control systems).
Production ML systems.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.
Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.
We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward.
As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.
You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance
You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance
You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.
You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack
Experience with GitOps workflows and CI/CD automation
Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)
Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco
Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks
Networking: Expert understanding of networking concepts, protocols and security
MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms
Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper
System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems
Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions
Have a high level of personal integrity, reliability, and attention to detail
Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity
Have experience running cloud-native workloads in on-premises or air-gapped environments
Are willing to relocate to Munich, London, or Berlin.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
About The Company
GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability.
About The Role:
We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.
Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.
What You Will Be Doing:
As part of the Data Platform organization, you will:
What You Bring:
Optional Experience:
What we offer:
Ready to apply?
Apply to GROPYUS
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.
For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.
In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.
Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.
Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.
Prefer asking questions over stipulating answers.
Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.
Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.
Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.
Can navigate and configure Linux systems and have an understanding of network stacks and database systems.
If applying for Germany- it is a requirement that you are able to speak business level or fluent German
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Experience with Rust and Python.
Experience with container-based, cloud-native and edge application architectures.
Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.
Experience with SQL, NoSQL, and streaming database systems.
Experience with production ML systems.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.
Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.
Scale our current infrastructure and tooling stack to support faster and larger distributed training.
Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.
Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning.
Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture.
Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.
You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).
You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.
You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.
You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one
These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company with the mission is to protect our liberal democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. We believe we have a responsibility to be thoughtful about the development and deployment of powerful technologies like AI and take this responsibility seriously.
We are an ambitious and committed team of software and deployment engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems today.
We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing, we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.
You will be part of a signal processing team, where you will build in-house solutions for signal processing problems that we face, in the sky or underwater.
You will develop and extend the state-of-the-art in signal processing, applying and deploying the technology in real-world scenarios.
You will contribute to projects and will collaborate with people across several teams and backgrounds.
Hold an MSc in signal processing, machine learning, robotics, communication engineering or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up to date with current research and enjoy reimplementing / extending the state-of-the art in ML/AI
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
A PhD in signal processing, machine learning, robotics, communication engineering or related field and have authored publications in top-tier journals and conferences
Experience with implementing signal processing algorithms, time frequency analysis, parameter estimation
Experience deploying AI software to production including testing, quality assurance, and monitoring
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about
Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and real-world robustness.
You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.
Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.
Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.
Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.
Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.
Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.
Are passionate about keeping up to date with current research and enjoy re-implementing and extending state-of-the-art papers.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.
Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.
Familiarity with low-level motor control interfaces and real-time embedded systems constraints.
Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks.
You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. you'll be developing state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.
You'll build, train and integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight.
You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning.
You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.
Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics.
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.
Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches.
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Experience with large-scale RL training.
Experience modeling and training multi-agent controllers using state-of-the-art tools and techniques.
Experience deploying AI software to production including testing, quality assurance, and monitoring
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.
You will be part of a computer vision team, where you will be responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, etc.
You will develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios.
You will also apply and develop techniques to adapt them to the target hardware and constraints associated to the downstream ML/AI tasks.
You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.
Hold an MSc in computer science, machine learning, robotics or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art Deep Learning-based approaches
Possess solid software engineering skills, writing clean and well-structured code in Python, and experience deploying AI software to production including testing, QA, and monitoring
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
PhD in computer vision, machine learning, robotics, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS)
Experience with object detection and categorisation, single and multi-object tracking, scene understanding and matching, 3D computer vision.
Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery
Experience with simulators, emulators, or synthetic data generators
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation
Ready to apply?
Apply to Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities.
We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones. Your primary focus will be training and fine-tuning Vision-Language Models on our custom datasets to power our different products. You'll be responsible for the entire model lifecycle, from data curation and training to evaluation.
Hold an MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning.
Possess theoretical understanding and practical experience in training Foundational Models (LLMs, VLMs, or other large-scale multimodal models) from scratch or through fine-tuning.
Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal research culture.
Have a "first-principles" mindset: you enjoy reading the latest ArXiv papers and implementing them into the codebase rapidly.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Top-Tier Research Track Record: You have authored publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning.
Experience training models on large-scale GPU clusters.
Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets.
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
Experience and Background:
The salary range for this role is $165,000 - $195,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love.
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
Experience and Background:
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
Why Scout24?
Scout24 is home of ImmoScout24, Germany’s #1 for real estate. With ImmoScout24 we have been revolutionizing the real estate market in Germany and Austria for more than 25 years. Our goal is to build a digital ecosystem that brings homeowners, seekers, and agents together. Finding the right home and property is one of the most important decisions in life. So is your career! #WorkingatScout24 means being part of a diverse and inclusive team of around 1100 colleagues and 58 nationalities. We embrace difference and celebrate individuality. By encouraging open mindedness and authenticity we enable a true learning culture and prepare the ground for personal development. Mistakes are a chance to grow and to innovate. Together we act proactively, strive for improvement, and take responsibility. We talk about success and challenge while treating each other with respect because we are #oneteam.
If this sounds interesting to you, we would love to see you joining us! Even if you may not tick all the boxes of the job requirements, we are happy to hear about the value you can add to the team. Grow with us!. Welcome home!
Aside from our people and company culture we are offering awesome benefits that make Scout24 a great place to work!
Build and operate scalable ML and LLM-based systems in production, with a focus on self-hosted models, evaluation frameworks, and platform reliability. You will help shape Scout24’s AI platform by enabling teams to efficiently develop, deploy, and scale both traditional ML and generative AI solutions for multi-modal use cases.
Working at the intersection of software engineering, ML platform engineering, and product, you ensure ML/LLM applications are robust, observable, and cost-efficient. You establish best practices for LLMOps, including gateway services, MCP integrations, evaluation, and lifecycle management, while leveraging AI-native workflows to drive faster development and higher engineering productivity.
How your role will look like:
What you need to succeed:
We aim to further enhance the diversity of our company and support the professional development of people with disabilities. We have a disability representative who will assist you throughout the application process. If you require this support, please let us know in advance.
Ready to apply?
Apply to Scout24
We are among the leading platforms for sports and wellness in Europe, dedicated to inspiring people to live active, healthy lives. With just one membership we offer access to thousands of fitness and wellness experiences across the continent.
But what truly sets us apart? We believe our people are at the heart of everything we do. If you’re curious about how we work, what we value and how you might grow with us, explore our Culture Hub & Career Opportunities.
*Big news: Wellhub and Urban Sports Club unite!*
Urban Sports Club is now a proud part of Wellhub, creating a global wellbeing ecosystem. Together, we connect 39,000 corporate clients and 97,000 wellness partners across 18 countries, offering millions of people even more ways to stay active and take care of their health.
Urban Sports Club is building a security function that moves with heart and mind. As a Security Engineer you will work across the full security landscape – from application security to cloud runtime to development pipelines and of course AI – bringing genuine breadth alongside real depth in your domain specialisations.
You will work side-by-side with IT analysts, developers, product managers, and leadership alike to embed security into how we build and operate. You will report to the Director of Cyber Security, with the empowerment and autonomy to shape how security is done across the company.
This role suits those with a builder’s mindset who gets restless without a hard problem to solve, who is excited about the intersection of AI and security, and who communicates as comfortably in a board update as in a pull request review.
Urban Sports Club is committed to providing a friendly, safe, and welcoming environment for everyone who applies for a position or already works with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).
Ready to apply?
Apply to Urban Sports Club
At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.
As part of our team, you will:
Requirements:
You’ll be great for our team if you:
Why join JetBrains?
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains

At MOIA, we are shaping the future of autonomous mobility. As we move towards driverless SAE Level 4 operations in public traffic, safety becomes even more deeply embedded in the way we design, operate, and continuously improve our services.
With the safety driver no longer part of the operational setup, risks increasingly emerge from the interaction of complex systems: the autonomous driving stack, remote operations, hub infrastructure, service processes, and the people working with them.
As a System Safety Engineer, you will help build the safety organization for driverless autonomous vehicle operations. You will look at the full socio-technical system end to end, model its dependencies, identify operational risks, and support well-founded safety decisions using methods such as FTA, FMEA, STPA, and Bow-Tie analysis.
Must-haves:
Nice-to-have
We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!
For student & internship positions, we have an adjusted set of benefits. You can find them here.
We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.
In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.
At MOIA, our teams are typically distributed across locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.
Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.
If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at MOIA.
At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.
We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.
With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.
MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.
We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.
To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.
Ready to apply?
Apply to MOIA GmbH
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
Develop engineering expertise within Snowflake for data engineering and security/governance features
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
Build & maintain data quality metrics & observability to help drive data quality standards
Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
Troubleshoot data pipelines, platform automations, data access system.
Help field and troubleshoot various community questions and challenges
Own, maintain and enhance data operation processes, monitoring & data quality systems
Design data models for both short term and long term use cases to support data warehouse scalability
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
Perform root cause analysis on often complex errors to help ensure data pipeline availability
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
Proactively drive innovation internally with bringing ideas for platform and process improvements
Help contribute to the ongoing documentation of internal systems and processes
2+ years of relevant experience in Data Engineering / Data Platform Engineering
Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake a plus
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
Experience in building data models
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
ABOUT THE TEAM:
As the Head of Data, you will be the visionary leader responsible for defining and executing our company data strategy. You will lead our data team to build a world-class data platform that bridges the gap between technical engineering and business value.
Your focus will be on evolving our data function into a strategic powerhouse to stakeholders from across the whole organization. You will own and drive the roadmap that aligns our data engineering capabilities with measurable business impact, ensuring our data infrastructure not only scales with our global client base but also becomes a key differentiator in how we make decisions, demonstrate product value and power future innovations.
We seek a strategic leader with demonstrated experience in a B2B SaaS environment. The ideal candidate must be capable of developing a clear strategy, securing alignment with key stakeholders including the CTO, VP of Product and VP of Customer Success, and executing with a high degree of autonomy.
For this position, we need professionals who are already based in Berlin or willing to move to Berlin.
ONCE YOU ARE HERE YOU WILL:
WHAT WE NEED YOU TO BRING TO THE TABLE:
OUR TECH STACK:
WHY YOU SHOULD WORK FOR US:
Do you want this job?
We’d love to hear from you! Apply directly via the form below.
Talon.One is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make employment decisions on the basis of race, color, religious belief, ethnic origin, nationality, sex, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by company policy. As an employer we strive for a healthy and safe workplace and strictly prohibit harassment of any kind.
Find out more about our Candidate Privacy Policy.
Ready to apply?
Apply to Talon.One
ABOUT TALON.ONE:
Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.
Today, over 250 of the world’s most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.
ABOUT THE TEAM:
As the Head of Data, you will be the visionary leader responsible for defining and executing our company data strategy. You will lead our data team to build a world-class data platform that bridges the gap between technical engineering and business value.
Your focus will be on evolving our data function into a strategic powerhouse to stakeholders from across the whole organization. You will own and drive the roadmap that aligns our data engineering capabilities with measurable business impact, ensuring our data infrastructure not only scales with our global client base but also becomes a key differentiator in how we make decisions, demonstrate product value and power future innovations.
We seek a strategic leader with demonstrated experience in a B2B SaaS environment. The ideal candidate must be capable of developing a clear strategy, securing alignment with key stakeholders including the CTO, VP of Product and VP of Customer Success, and executing with a high degree of autonomy.
For this position, we need professionals who are already based in Berlin or willing to move to Berlin.
ONCE YOU ARE HERE YOU WILL:
WHAT WE NEED YOU TO BRING TO THE TABLE:
OUR TECH STACK:
Ready to apply?
Apply to Talon.One LinkedIn JobsWhy work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.
In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.
Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.
If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day.
If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
We conduct coding interviews as part of the process.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You’re welcome to work from our office in Prague or in Amsterdam, hybrid or remotely.
In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
We expect you to have:
It would be an added bonus if you had:
We conduct coding interviews as part of the process.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You're welcome to work from our offices in Prague, Amsterdam, or Berlin— hybrid or remotely.
In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
We expect you to have:
It would be an added bonus if you had:
We conduct coding interviews as part of the process.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.
Some directions we are currently working on, and which you can be a part of:
We expect you to have:
Nice to have:
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
We are looking for a Senior Network Engineer to join our team to ensure smooth and stable operation of data center infrastructure, points of presence, and our own backbone network. The engineer will also design and develop data center networks with thousands of server ports, InfiniBand-based GPU cluster interconnect networks, and automation and management tools for such networks.
You’re welcome to work in our office in Amsterdam.
Your responsibilities will include:
We expect you to have:
It would be an added bonus if you had:
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
We conduct coding interviews as part of the process.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
We conduct coding interviews as part of the process.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.
Your responsibilities will include:
• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.
We expect you to have:
• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.
It will be an added bonus if you have:
• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day.
What we offer:
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.
Ready to apply?
Apply to Nebius
Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights from every conversation and put those insights into action with real-time coaching during customer conversations. We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Adobe, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.
Cresta is seeking a passionate individual with solid security engineering experience to support the security & compliance team and enable growing global data protection and cybersecurity efforts.
Ready to apply?
Apply to CrestaAt Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
We are hiring across multiple locations
India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
As a Senior Staff Engineer you’ll:
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideAt Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
We are hiring across multiple locations
India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin
Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.
We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.
As a Staff Engineer you’ll:
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSoftware engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.
Vercel's sales team is filled with hardworking, deeply technical people spanning a range of business functions (developers, operations, marketing, product, IT) to help create a new category. We are a fast-growing organization with a strong preference to grow team members and promote from within! You will be the dominant driver of revenue growth and be on the front- lines of evangelizing our platform to both new and existing customers.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
Ready to apply?
Apply to VercelIntercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.
Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!
At Intercom, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.
We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.
As an experienced engineer you will:
First, apply so we can review your CV. As the next step, we will send you our take-home test to work on in your own time. You can find more details on the questions and how we evaluate answers here. The following step will be a phone interview with one of our engineers which will focus on technical and culture contribution questions (this step is sometimes broken down into 2 interviews). The final step is a virtual onsite interview.
#LI-Hybrid
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Ready to apply?
Apply to Intercom
LLM Platform Engineer/Lead (m/f/d)
Berlin, Bangalore, Remote
Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a LLM Platform Engineer/Lead who will be part of our Engineering team. 🙌 But wait, you have not heard of Kayzen before? 😃
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.
The Team
The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:
Sounds interesting. Isn't it?
About the Role
We are looking for an LLM Platform Engineer /Lead who can evangelise AI across the company and build the foundational tooling, frameworks, and workflows that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on developer velocity, reuse, and production readiness rather than training complex models from scratch.
Responsibilities
Requirements
AI Tooling & Framework Experience (Core Focus)
Strong Engineering & Platform Skills
Startup Mindset
Less About
Nice to have
What do we offer?
Ready to apply?
Apply to Kayzen
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
How you’ll make an impact
This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries.
As a Software Developer Engineer in Test (SDET), your mission will be to ensure that we only deliver highest-quality products to our customers. You will play a crucial role in our success by helping our users have the best possible experience.
Dataiku's platform is built on modern Web technologies (single page webapp with Angular/AngularJS) and integrates with a very large ecosystem of big data technologies (Spark, Hadoop, MPP databases, Cloud services, ...).
Our software testing stack is based on Python, Pytest, Selenium, and Allure for the integration tests. Our CI is based on Jenkins with intensive usage of AWS’s features.
At Dataiku, developers are involved in writing part of the automated integration tests together with the QA team.
Here's a taste of how you can help the team:
What you need to be successful
What will make you stand out
What does the hiring process look like?
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Ready to apply?
Apply to Dataiku Misc Postings
Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe.
Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more.
Since 2020, GetYourGuide has established a Machine Learning (ML) Platform team, providing the tools and best practices to help the Data Products team build and maintain production-ready ML/AI systems. The team's mission is to enable our diverse teams and ML/AI use-cases via self-service tools and automation. More recently the team was renamed as AI Platform Team as a way to better reflect our ambition to become an AI-first organization.
As a Senior MLOps Engineer, you'll join our AI Platform Team and have a chance to make an enormous impact across all of our data products. You'll work closely with our Data Products teams to build systems that enable ML/AI algorithms to go to production. If you are interested in contributing to the success of a product that is used by millions of travelers around the world then keep on reading.
And more…
Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.
Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.
#LI-Hybrid
Ready to apply?
Apply to GetYourGuide
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