
STARK · Stockholm
ABOUT US STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop ...
STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains.
We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective.
This provides our operators with a decisive edge in highly contested environments.
We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is
bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today.
Didn’t find the perfect role? We’d still love to hear from you! Send us your CV in English, and our recruiting team will reach out
if there’s a great fit.
TL;DR: Lovable lets over 2 million people build software using plain language, and the models behind it need to be exceptional. We're hiring an engineer who has gotten their hands dirty with post-training at scale and wants to do it again for one of the fastest-growing AI products in the world. You'll own our full post-training pipeline: translating the latest research into production training recipes, adapting them for code generation and agent workloads, and putting improved models in front of users fast. The goal is to get promising research into production within days or weeks, not months. This isn't an academic research position - you'll spend as much time in production infrastructure as in training configs, and your success is measured by what ships. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * You've personally run post-training jobs on large language models - RFT/RLVR, preference optimization, or similar. Not just called APIs or written prompts, but actually trained and iterated on models * You can write solid production code. The systems you build need to run reliably, not just produce interesting research artifacts * You're fluent in at least one major ML framework (PyTorch, JAX) and comfortable working with distributed training setups and GPU clusters * You understand the math behind preference optimization, reward modeling, and alignment techniques - and can reason about when each approach fits * You've built or significantly contributed to evaluation systems that capture real-world quality, not just benchmark scores * You can trace a model quality regression from user-facing symptoms back through serving, inference, and training - and you enjoy doing it * You want to ship. Research taste matters, but at Lovable the question is always "how fast can we get this to users?" Preferred: * You've worked on code generation or agentic use cases specifically * You've put post-trained models into the hands of real users and seen how they hold up at scale * You've owned the full loop: curating data, running training, evaluating results, deploying, and monitoring in production * You have a habit of reading a paper on Monday and having a prototype running by Friday * You've experimented with speculative decoding or similar techniques to improve model efficiency * You have strong views on evaluation methodology and have built evals that actually predict user satisfaction * You've published or contributed meaningfully to the open-source ML ecosystem What you’ll do * Own the full lifecycle of Lovable's post-training pipeline - from data curation and training runs through evaluation and deployment * Apply and adapt reinforcement learning, preference optimization, and supervised fine-tuning methods to make our models better at generating code, reasoning about user intent, and acting as reliable agents * Build the evaluation and experimentation infrastructure that tells us whether a model change actually helps users - covering helpfulness, safety, latency, and reliability * Develop and operate the production systems that run training jobs at scale, including GPU orchestration and data pipelines * Work across team boundaries with our agent, product, and infrastructure engineers to turn model gains into product improvements users can feel * Investigate and resolve failures end-to-end - whether the root cause is in a training recipe, a data issue, or a serving regression * Read papers, run experiments, and move fast: the goal is to get promising research into production within days or weeks, not months About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. We are looking for a hands on Senior Security Engineer to secure our cloud and platform environments. This role works closely with engineering teams and focuses on building, reviewing, and operating security controls using Infrastructure as Code, Kubernetes, and custom security services written in Go and TypeScript. Key Responsibilities: Secure Cloud Deployment: * Design, implement, and manage secure cloud deployments across AWS and GCP environments using Terraform. * Kubernetes & GitOps Security: Deploy and manage both internal and third‑party security products within the Kubernetes ecosystem. * Work with GitOps workflows using tools like Argo CD and Flux, and Helm charts. * Security Automation & Tooling: Design and build security tooling and services using Go and TypeScript. * Misconfiguration Management: Proactively identify, analyze, and remediate cloud misconfigurations. * Cloud Architecture Guidance: Provide guidance to Engineering teams on secure architecture. * Threat Detection & Response: Build and optimize cloud-native detection rules and alerting pipelines to monitor for suspicious activities within the cloud and container workloads. Required Skills & Experience: * 8+ years of experience in security engineering, cloud security, or platform engineering roles. * Hands-on experience securing production workloads in AWS and GCP. * Strong experience designing and securing Infrastructure as Code using Terraform. * Deep understanding of Kubernetes security, including troubleshooting Helm deployments and GitOps-based workflows. * Strong programming skills in Go and TypeScript, with Python used for automation where appropriate. * Experience embedding security controls into CI/CD pipelines. * Certifications (Required) Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) Certifications (Preferred) AWS Certified Security * Specialty Google Professional Cloud Security Engineer HashiCorp Certified: Terraform Associate * Nice-to-Have Experience with Policy-as-Code frameworks such as Open Policy Agent (OPA). * Experience securing service mesh environments (Istio). Background in software engineering or platform engineering before moving into security. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to know our team: The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed: * Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) * Excellent verbal and written communication skills in English * 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company * Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI * Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently It’s great if you have: * Experience in digital marketing or ecommerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills * Skills that foster collaboration and team spirit #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.