How to Apply to Helsing

Key Takeaways

Prepare a clear, compelling answer to 'Why defense?' before applying — Helsing screens heavily for mission conviction, and a vague answer here can disqualify technically strong candidates.
Tailor your resume to mirror Helsing's specific job description language, especially domain-specific terms like 'sensor fusion,' 'edge deployment,' 'foundation models,' or 'multi-agent systems' — Greenhouse keyword matching matters.
If you hold or are eligible for European security clearance, state this explicitly and prominently on your resume — it's a practical accelerator in the defense hiring process.
Showcase deployed, production-grade AI work alongside any research publications — Helsing values the full spectrum from paper to production, but leans toward candidates who ship.
Research Helsing's publicly known defense partnerships, funding milestones, and strategic focus areas before any interview — demonstrating informed interest in the European defense AI landscape signals genuine commitment.
Use the Greenhouse application's optional fields (additional information, cover letter upload) to directly address your motivation for working at the intersection of AI and defense — don't leave these blank.
Prepare to discuss the ethical dimensions of AI in defense thoughtfully and proactively — Helsing interviewers respect candidates who have already wrestled with these questions rather than avoiding them.

About Helsing

Helsing is a European defense AI company on a mission to protect democratic societies through cutting-edge artificial intelligence. Founded in 2021 and headquartered in Munich, Germany, with key offices in London, Paris, and Tallinn, Helsing has rapidly emerged as one of Europe's most significant defense technology ventures, having raised substantial funding that places it among the continent's highest-valued AI startups. The company builds AI-powered software for defense and national security applications, working directly with European governments and armed forces to develop real-time situational awareness, autonomous decision support, and sensor fusion capabilities. What makes Helsing distinct is its positioning at the intersection of deep tech AI research and sovereign European defense — a space few companies occupy with this level of ambition. Unlike traditional defense contractors, Helsing operates with the speed and technical culture of a Silicon Valley AI lab, attracting top-tier machine learning researchers, robotics engineers, and computer vision specialists who want their work to have geopolitical impact. The culture is intensely mission-driven: employees commonly describe a shared conviction that democratic nations need technological superiority to maintain security. Helsing's workforce skews heavily technical, with roles spanning reinforcement learning, foundation models, signal processing, AI safety, and robotics. The company values intellectual rigor, ownership, and a willingness to work on complex, ambiguous problems with real-world stakes. For candidates who want to apply frontier AI research to one of the most consequential domains imaginable — and who are comfortable with the ethical dimensions of defense technology — Helsing represents a uniquely compelling opportunity in the European tech landscape.

Application Process

Explore Roles on Helsing's Careers Page
Visit helsing.ai/careers to browse Helsing's 93+ active positions, which are organized by function (AI Research, Engineering, Project Management, Operations) and location (Munich, London, Paris, Tallinn). Read each job description carefully — Helsing's postings typically include detailed technical requirements and context about the specific defense domain you'd be contributing to. Pay close attention to security clearance requirements or citizenship eligibility notes, as these are common in defense roles.
Submit Your Application Through Greenhouse
Helsing uses Greenhouse as their applicant tracking system. When you click 'Apply,' you'll be directed to a Greenhouse-hosted application form where you'll upload your resume, provide contact details, and answer any role-specific screening questions. Some positions — particularly AI Research Engineer roles — may ask you to link to publications, GitHub repositories, or technical portfolios, so have these ready before starting your application.
Initial Screening by Talent Team
Helsing's talent acquisition team reviews applications for alignment with technical requirements, relevant domain experience, and mission fit. Given the company's defense focus, expect that background and eligibility checks (such as EU citizenship or residency in specific countries) are assessed early. Candidates whose profiles match the role's requirements are typically moved forward within one to three weeks.
Introductory Call with a Recruiter or Hiring Manager
Shortlisted candidates typically have a 30-45 minute introductory call covering your background, motivation for joining a defense AI company, and alignment with Helsing's mission. Expect questions about why you want to work in defense technology specifically — Helsing commonly screens for genuine conviction about the mission, not just technical skill. This is also your opportunity to ask about team structure, current projects (within classification limits), and growth trajectory.
Technical Assessment or Case Study
For AI Research Engineer and engineering roles, Helsing typically includes a technical evaluation stage. This may involve a take-home coding challenge, a research problem related to the role's domain (e.g., computer vision, reinforcement learning, signal processing), or a live technical interview. Project management roles may involve a case study focused on defense program delivery. Expect problems that test both depth of expertise and ability to operate under real-world constraints.
On-Site or Virtual Interview Panel
Candidates advancing past the technical stage are typically invited to a multi-round interview panel. At Helsing, this commonly includes sessions with potential teammates, engineering leads, and sometimes senior leadership. Interviews assess technical depth, collaborative problem-solving, cultural alignment with Helsing's high-ownership environment, and your comfort operating in a fast-paced startup tackling defense-grade challenges. Depending on your location and the role's office base, this may be conducted on-site in Munich, London, or Paris.
Offer, Security Processes, and Onboarding
Successful candidates receive a formal offer, which may be contingent on passing security vetting processes required for defense work. The timeline for security clearance varies by country and classification level, so be prepared for this to extend the time between offer acceptance and start date. Helsing's onboarding is designed to immerse new hires in the company's mission, technical infrastructure, and cross-functional team structures quickly.

Resume Tips for Helsing

Critical Lead with Defense, Security, or Mission-Critical Technical Experience

Helsing builds AI for defense — if you have any experience in defense technology, national security, government contracting, or safety-critical systems, position it prominently. Even adjacent experience (autonomous vehicles, aviation, medical devices) signals that you understand the rigor required when AI operates in high-stakes environments. Candidates without direct defense experience should emphasize projects where reliability, robustness, and real-world deployment constraints were central.

Critical Quantify Your AI and ML Impact with Deployment Metrics

Helsing isn't a pure research lab — they ship AI products that militaries use. Frame your experience in terms of deployed models, production systems, and measurable outcomes rather than only citing paper publications. For example, 'Deployed real-time object detection pipeline processing 15 sensor feeds at 30fps with 98.5% precision' is far more compelling than 'Researched computer vision techniques.' Publications matter, but pair them with evidence of engineering execution.

Critical Explicitly List Relevant Technical Frameworks, Languages, and Tools

Greenhouse parses resumes for keyword matches, and Helsing's technical roles demand specific expertise. Include explicit mentions of frameworks (PyTorch, TensorFlow, JAX), languages (Python, C++, Rust), and domain tools (ROS for robotics, radar/sonar processing libraries for signal processing, simulation environments for RL). Don't bury these in paragraphs — create a dedicated 'Technical Skills' section that Greenhouse can easily parse and hiring managers can scan at a glance.

Highlight Publications, Patents, and Open-Source Contributions

For AI Research Engineer positions, Helsing values candidates with research credibility. Include a dedicated section listing relevant publications (NeurIPS, ICML, CVPR, ICLR, or defense-specific conferences), patents, and significant open-source contributions. Link to your Google Scholar profile or arXiv papers. If your research touches areas directly relevant to Helsing's work — such as multi-agent RL, sensor fusion, adversarial robustness, or foundation model efficiency — call this out explicitly.

Signal Security Clearance Eligibility or Existing Clearances

Defense roles at Helsing may require security clearance from the relevant European government. If you hold active clearance (e.g., German Ü2, UK SC/DV, French Secret/Très Secret), state this clearly near the top of your resume. If you don't yet hold clearance but are eligible (e.g., through citizenship), note your eligibility. This is a practical differentiator that can accelerate your hiring timeline significantly.

Demonstrate Cross-Functional and Multi-Disciplinary Collaboration

Helsing's teams span AI research, software engineering, product management, and defense domain expertise. Your resume should show that you've worked effectively across disciplines — not just in isolated research. Mention collaborations with domain experts, product managers, or end users. For project management roles, highlight experience bridging technical teams and non-technical stakeholders, especially in complex program environments.

Use Clean Formatting Compatible with Greenhouse Parsing

Submit your resume as a PDF with standard section headers (Experience, Education, Skills, Publications) and avoid tables, columns, headers/footers with critical information, or heavy graphical elements. Greenhouse's parser works best with single-column, chronologically structured resumes. Ensure your name, email, phone number, and LinkedIn URL appear in the main body text — not embedded in images or complex formatting that the parser might skip.

Articulate Your 'Why Defense' Motivation

While this is more common in cover letters, consider adding a brief professional summary at the top of your resume that connects your technical expertise to Helsing's mission. A line like 'ML engineer passionate about applying frontier AI research to European defense and security challenges' immediately tells the reviewer you understand what Helsing does and have intentional motivation. Generic summaries like 'experienced data scientist seeking new opportunities' will not resonate here.

ATS System: Greenhouse

Greenhouse is a structured hiring platform widely used by high-growth technology companies, including Helsing. It manages the full application pipeline — from resume parsing and candidate scoring to interview scheduling and team feedback collection. Greenhouse allows Helsing's talent team to create structured scorecards for each role, meaning your application is evaluated against predefined criteria rather than subjective impressions.

Submit your resume as a single-column PDF to ensure Greenhouse's parser correctly extracts your experience, education, and skills sections without formatting errors.
Mirror the exact technical terminology from Helsing's job descriptions — if the posting says 'reinforcement learning,' use that phrase rather than only 'RL' or 'decision-making algorithms.'
Complete every field in the Greenhouse application form, including optional ones — incomplete applications may be deprioritized or filtered out by the talent team.
Avoid tables, multi-column layouts, and text boxes in your resume, as these can cause Greenhouse's parser to scramble your content or miss sections entirely.
Include both full terms and common abbreviations for technical skills (e.g., 'Computer Vision (CV),' 'Natural Language Processing (NLP),' 'Reinforcement Learning (RL)') to match against multiple keyword variants.
If the application includes a free-text field or 'Additional Information' section, use it to briefly address why you're drawn to Helsing's defense AI mission — Greenhouse stores this alongside your resume for reviewer context.
When linking to external profiles (GitHub, Google Scholar, LinkedIn), use full URLs rather than hyperlinked text, as parsed versions may strip hyperlinks.

Complete Greenhouse Resume Guide

Interview Culture

Helsing's interview process reflects its identity as a mission-driven defense AI company operating at startup speed. Expect a process that is rigorous, technically deep, and unusually focused on motivation and values alignment compared to typical tech interviews. The process commonly spans three to five stages over several weeks. After an initial recruiter screen, technical candidates typically face a hands-on assessment — this might be a take-home problem set in your domain (computer vision, RL, signal processing) or a live coding and system design session. Helsing's technical interviews often emphasize real-world applicability over theoretical puzzles: you might be asked to design an ML pipeline that operates under latency constraints, discuss how to make a model robust to adversarial conditions, or architect a system for sensor fusion from multiple data sources. For AI Research Engineer roles, expect at least one deep-dive session where you present and defend your previous research. Interviewers — who are often senior researchers or engineering leads — will probe your understanding of your own work's limitations, potential extensions, and relevance to defense applications. Don't be surprised if interviewers ask how your research could be adapted for edge deployment, resource-constrained environments, or safety-critical decision-making. Project management candidates should prepare for case-based interviews that simulate the complexity of managing defense AI programs — balancing technical uncertainty, stakeholder alignment across government clients, and rapid iteration cycles. Culture fit is assessed throughout, not in a single dedicated round. Helsing looks for people who demonstrate genuine conviction about the mission of protecting democratic societies, comfort with ambiguity, high personal ownership, and the ability to move fast while maintaining the rigor that defense applications demand. Interviewers commonly assess whether you've thought critically about the ethical dimensions of AI in defense — thoughtful engagement with these questions signals maturity, not a red flag. Finally, many candidates report that the interview process feels reciprocal: Helsing invests time in helping candidates understand the mission, the team, and the work to ensure mutual fit. Come prepared with informed questions about Helsing's technology strategy, European defense landscape, and team dynamics.

What Helsing Looks For

Deep technical expertise in a specific AI domain (computer vision, reinforcement learning, signal processing, foundation models, robotics, or AI safety) with evidence of both research depth and engineering execution
Genuine mission alignment — a clear, articulated reason for wanting to apply AI to defense and European security, beyond purely technical interest
Experience deploying ML models into production or safety-critical environments, not just prototyping or publishing
Comfort with ambiguity and the ability to define problems in unstructured domains where requirements evolve rapidly based on operational realities
Strong collaborative instincts and the ability to work across disciplines — bridging AI research, software engineering, product, and defense domain expertise
European citizenship or residency eligibility that supports security clearance requirements for defense work
High personal ownership and startup mentality — willingness to take initiative, make decisions with incomplete information, and ship outcomes rather than just deliverables
Intellectual curiosity paired with pragmatism — someone who reads the latest papers but also cares about latency, edge deployment, and robustness in the field

Frequently Asked Questions

How long does Helsing's hiring process typically take from application to offer?

Based on reports from candidates in similar defense tech companies, Helsing's process commonly takes four to eight weeks from initial application to offer, though this can vary significantly by role and seniority. Technical AI Research Engineer positions may involve multiple assessment stages that extend the timeline. Additionally, defense roles may require security clearance processes that add weeks or even months between offer acceptance and actual start date, depending on the country and clearance level required. Plan accordingly and don't hesitate to ask your recruiter for a timeline estimate during the initial screening call.

Do I need to be a European citizen to work at Helsing?

Many of Helsing's roles involve defense-classified work, which typically requires citizenship or permanent residency in the relevant European country (Germany, UK, or France, depending on office location) for security clearance eligibility. Some positions may have more flexible requirements, particularly in non-classified research or corporate functions. Check each job posting carefully for citizenship or residency requirements — these are typically stated explicitly. If you're unsure about your eligibility, it's worth applying and asking directly during the recruiter screening stage, as requirements can vary by specific project and classification level.

Should I include a cover letter when applying to Helsing through Greenhouse?

While not always explicitly required, a cover letter is strongly recommended for Helsing applications. Given the company's emphasis on mission alignment, a cover letter gives you dedicated space to articulate why you want to apply AI to defense, what draws you to Helsing specifically, and how your technical background connects to their work. Keep it concise (300-400 words), lead with your motivation rather than a summary of your resume, and reference specific aspects of Helsing's mission or technology focus. Greenhouse provides a cover letter upload field — use it. A thoughtful cover letter can distinguish you from equally qualified candidates who skip this step.

What technical skills are most in demand at Helsing right now?

Based on Helsing's active job postings, the most sought-after technical domains include computer vision, reinforcement learning, signal processing, robotics, foundation models, and AI safety. Across these roles, strong proficiency in Python and deep learning frameworks (PyTorch is most commonly referenced) is essential. Experience with edge deployment, real-time inference, and C++ or Rust for performance-critical components adds significant value. For senior roles, demonstrated ability to architect end-to-end ML systems — from data pipeline through model training to production deployment — is typically expected. Domain knowledge in radar, EO/IR sensors, or autonomous systems provides a meaningful advantage.

How should I format my resume for Helsing's Greenhouse ATS?

Use a clean, single-column PDF layout with standard section headers: Professional Summary, Experience, Education, Technical Skills, and Publications (if applicable). Avoid tables, multi-column designs, graphics, or headers/footers containing critical contact information — Greenhouse's parser handles linear, straightforward formats most reliably. Place your name, email, phone, and LinkedIn URL in the body of the document rather than in text boxes. Keep the file under 5MB and name it clearly (e.g., 'FirstName_LastName_Resume.pdf'). If you have extensive publications, consider a separate document or a link to your Google Scholar profile to keep the main resume focused and parseable.

Does Helsing offer remote work options?

Helsing operates primarily from physical offices in Munich, London, Paris, and Tallinn, and the nature of defense work — which often involves classified systems, secure facilities, and close team collaboration — typically requires significant on-site presence. Most roles are listed with a specific office location, suggesting that fully remote arrangements are uncommon. Some flexibility for hybrid work may be available depending on the role and team, but candidates should generally expect to be based in or willing to relocate to one of Helsing's office cities. Clarify work location expectations with your recruiter early in the process.

Can I apply to Helsing with academic research experience but no industry experience?

Absolutely — Helsing actively recruits AI researchers and values strong academic backgrounds, particularly for AI Research Engineer roles. If you're coming from a PhD program or postdoctoral research position, emphasize the practical applicability of your work: any experience with real-world datasets, production codebases, hardware deployment, or collaboration with industry partners strengthens your application significantly. Highlight published papers in relevant venues (NeurIPS, ICML, CVPR, IROS) and any open-source contributions. Be prepared to discuss how your research could be adapted for defense applications — showing that you've thought about this bridge is often more important than having already crossed it.

What should I prepare for a technical interview at Helsing?

Preparation should center on your specific domain. For computer vision roles, be ready to discuss architectures, real-time inference optimization, and performance under degraded or adversarial conditions. For RL roles, prepare to work through environment design, reward shaping, and sim-to-real transfer challenges. Across all technical roles, Helsing reportedly values candidates who can think about system-level design — not just model accuracy, but latency, robustness, edge deployment constraints, and integration with broader sensor and decision systems. Review your own past work thoroughly, as you'll likely be asked to present and defend technical choices. Finally, practice articulating complex technical concepts clearly, as Helsing's cross-functional environment requires effective communication with non-ML colleagues.

How competitive is it to get hired at Helsing?

Helsing is widely regarded as one of Europe's most selective defense AI employers. The company attracts top-tier talent from leading AI labs, academic institutions, and major tech companies, meaning the candidate pool for technical roles is highly competitive. However, Helsing is also scaling rapidly — with 93+ open positions, they're actively building teams across multiple domains and locations. Candidates who combine strong technical credentials with genuine defense mission alignment and European security clearance eligibility have a meaningful advantage, as this specific combination is rarer than pure technical talent. Focus your application on demonstrating all three dimensions rather than only optimizing for technical impressiveness.

Sample Open Positions

Sources

Helsing Careers Page — Helsing
Helsing Company Overview and Mission — Helsing
Greenhouse ATS Candidate Help Resources — Greenhouse Software
Helsing Company Reviews and Interview Insights — Glassdoor