generative ai engineer

MHP – A Porsche Company

<div>
 
 Aufgaben
 
 
 
 Du begeisterst dich f&uuml;r innovative Technologien und Generative AI? Du m&ouml;chtest nicht nur Architekturen entwerfen, sondern KI-L&ouml;sungen produktiv machen, skalierbare Systeme bauen und Kunden bei der Integration moderner AI unterst&uuml;tzen? Dann werde Teil unseres Teams und gestalte mit uns die Zukunft von KI-gest&uuml;tzten Architekturen, Anwendungen und Workflows.
 
 
 Dabei warten die folgenden Aufgaben auf dich:
 
 
 
 <ul>
 <li>
 Entwurf skalierbarer KI-Architekturen: Entwicklung von performanten Architekturen und Integration von ML- und GenAI-Modellen in Kundenumgebungen (z.  SAP, CRM, Microservices)
 </li>
 <li>
 Implementierung von Pipelines &amp; Workflows: Aufbau skalierbarer Daten- und AI-Architekturen, Integration in bestehende Pipelines, (Weiter)Entwicklung von XOps-L&ouml;sungen
 </li>
 <li>
 Backend-Services &amp; Systemintegration: Entwicklung performanter Services zur Integration von Modellen in produktive Workflows und Sicherstellung reibungsloser &Uuml;berg&auml;nge zwischen Training, Deployment und Anwendung
 </li>
 <li>
 Deployment, Monitoring &amp; Optimierung: Umsetzung von Prototypen und MVPs in Cloud-Umgebungen, Performance-Optimierung und Sicherstellung von Skalierbarkeit und Security
 </li>
 <li>
 Identifikation von Use Cases: Analyse von Gesch&auml;ftsprozessen, Erkennung von Potenzialen f&uuml;r GenAI und Ableitung technischer L&ouml;sungen
 </li>
 <li>
 Projekt- und Stakeholdermanagement: Moderation von Workshops, enge Abstimmung mit interdisziplin&auml;ren Teams, internationalen Projektpartnern und Kunden
 
 
 
 </li>
 </ul>
 
 Anforderungen
 
 
 
 Um f&uuml;r deinen Weg gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium in Informatik, Software Engineering, Data Science oder einem vergleichbaren Bereich mit mindestens 4 Jahren Berufserfahrung idealerweise im Consulting- und (Gen)AI-Umfeld
 </li>
 <li>
 Leidenschaft f&uuml;r AI &amp; Generative AI, skalierbare Systeme, Cloud-Technologien und den Aufbau performanter AI-Infrastrukturen
 </li>
 <li>
 Expertise in Python, ML, LLMs, RAG, Cloud-Umgebungen (Azure, AWS, GCP), Docker, Kubernetes, REST APIs, CI/CD
 </li>
 <li>
 Kenntnisse in Softwarearchitektur, Cloud-native Design, MLOps und AI Security
 </li>
 <li>
 Deine Arbeitsweise ist gepr&auml;gt von Eigenverantwortung, Zielorientierung, Teamf&auml;higkeit und Hands-on-Mentalit&auml;t
 
 
 
 </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 
 
 
 <ul>
 <li>
 
 Beginn:
 
 nach Vereinbarung &ndash; immer zu Beginn eines Monats
 </li>
 <li>
 
 Arbeitszeit:
 
 in Vollzeit (40h) und/oder Teilzeit m&ouml;glich; 30 Urlaubstage
 </li>
 <li>
 
 Arbeitsverh&auml;ltnis:
 
 Unbefristet
 </li>
 <li>
 Bereich: Consulting
 </li>
 <li>
 
 Sprache:
 
 sicheres Deutsch &amp; Englisch
 </li>
 <li>
 
 Flexibilit&auml;t &amp; Reisebereitschaft
 
 </li>
 <li>
 
 Sonstiges:
 
 eine g&uuml;ltige Arbeitserlaubnis; bei Bedarf k&ouml;nnen wir die Arbeitserlaubnis im Rahmen unseres Recruiting-Prozesses beantragen. Das Verfahren ben&ouml;tigt Zeit und hat Einfluss auf das Startdatum
 </li>
 </ul>
</div>

(Senior) AI & Generative AI Engineer (all genders)

Code Compass 🧭

<div>
 
 🤖 Machine Learning Engineer &ndash; Computer Vision &amp; Generative AI &ndash; 100%
 
 
 
 
 
 📍 Berlin, Germany | 💰 &euro;50,000 - &euro;70,000 + Benefits | 🌍 Hybrid Working
 
 
 
 
 
 Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.
 
 
 
 
 
 Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.
 
 
 
 
 
 This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.
 
 
 
 
 
 ⚙️ Tech Stack:
 
 
 Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows
 
 
 
 
 
 🚀 About the Role:
 
 
 
 
 <ul>
 <li>
 As a Machine Learning Engineer, you will:
 </li>
 <li>
 Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
 </li>
 <li>
 Build and deploy scalable ML solutions into production environments
 </li>
 <li>
 Design automation solutions that reduce manual effort and improve operational efficiency
 </li>
 <li>
 Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
 </li>
 <li>
 Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
 </li>
 <li>
 Research emerging technologies and rapidly evaluate their suitability for business applications
 </li>
 <li>
 Contribute to the evolution of production-grade machine learning infrastructure and workflows
 </li>
 </ul>
 
 
 
 
 ➕ Nice to Have:
 
 
 
 
 <ul>
 <li>
 Several years of hands-on experience within machine learning and computer vision
 </li>
 <li>
 Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Practical experience working with generative AI technologies including diffusion models and GANs
 </li>
 <li>
 Understanding of ML deployment, scalability, performance optimisation, and production environments
 </li>
 <li>
 Experience with Docker and cloud-based infrastructure
 </li>
 <li>
 Knowledge of creative AI tools and visual content workflows
 </li>
 <li>
 Experience working with image-based products, digital content platforms, or related industries
 </li>
 <li>
 Strong analytical thinking combined with a pragmatic, solution-oriented mindset
 </li>
 <li>
 Ability to communicate effectively in an international and cross-functional environment
 </li>
 </ul>
 
 
 
 
 💪 Benefits:
 
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI and machine learning technologies
 </li>
 <li>
 Highly collaborative and innovative working environment
 </li>
 <li>
 Flexible working arrangements with hybrid options
 </li>
 <li>
 Exposure to challenging technical problems with real-world impact
 </li>
 <li>
 Professional development support, training, and continuous learning opportunities
 </li>
 <li>
 Modern working environment with strong team culture and regular social activities
 </li>
 </ul>
 
 
 
 
 
 ✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.
 
 
</div>

Machine Learning Engineer

Lampenwelt GmbH

<div></div><div><div><h2 class="jobSectionHeader">Company description</h2>
<div>Lampenwelt has been shaping the future of lighting since 1999 with over 50,000 products, eight in-house brands, and an international team of around 500 talents. The focus is on people&rsquo;s well-being, strong customer orientation, open communication, and innovative solutions along the entire value chain, with the goal of making the world brighter and smarter.
Job description
We are building AI-powered products that directly shape how customers discover and experience lighting. As our AI Engineer, you will design, build, and take ownership of applied AI systems that create measurable business impact. 
 
This is a product-oriented engineering role, not a research position. Majority of your time will be spent on applied AI and generative systems; the remaining will support existing predictive ML models (demand forecasting, pricing, logistics). You will work closely with product managers, data engineers, and business stakeholders.
</div></div><div><h2 class="jobSectionHeader">Where your expertise is needed</h2>
<div>Applied AI &amp; Generative Systems (Primary)
<ul><li>Design and build production-ready AI systems: RAG pipelines, multi-agent orchestration, LLM-based workflow automation, and generative media applications</li>
<li>Develop evaluation frameworks that measure AI output quality, reliability and consistency</li>
<li>Design guardrails that enforce safe, predictable AI behavior in production</li>
<li>Build and maintain clean, well-documented API and service layers that integrate AI capabilities into our products</li>
<li>Collaborate with product managers to translate business problems into concrete AI solution designs</li>
<li>Stay current with the AI technology landscape and propose pragmatic improvements to our architecture</li> 
</ul>Predictive ML Support (Secondary)
<ul><li>Monitor and support existing predictive ML pipelines (regression, classification, demand forecasting, logistics)</li>
<li>Assist in detecting and triaging model drift; contribute to basic retraining or validation workflows</li>
<li>Collaborate with data engineers on feature preparation for scheduled model runs</li>
</ul></div></div><div><h2 class="jobSectionHeader">What will help you master future challenges</h2>
<div><ul><li>Applied AI engineering: Demonstrated ability to build and ship RAG systems, LLM integrations, or multi-agent workflows in production</li>
<li>Python and SQL proficiency: Comfortable writing clean, maintainable Python for production services and SQL for data retrieval and validation</li>
<li>AI evaluation: Experience designing evaluation frameworks for generative AI outputs, including metrics, test sets, and monitoring approaches</li>
<li>Production deployment: Practical experience deploying APIs or AI services to a cloud environment (any major cloud provider); understands latency, error handling, and observability basics</li>
<li>Stakeholder communication: Able to clearly communicate technical trade-offs and solution designs to non-technical collaborators; English at C1 level or above</li>
<li>ML literacy: Working understanding of supervised learning concepts (regression, classification, cross-validation) sufficient to support and interpret existing predictive models</li>
</ul></div></div><div><h2 class="jobSectionHeader">Your Benefits</h2>
<div><ul><li>A stable and engaging position in a profitable scale-up company</li>
<li>Flexible working options, from home and in one of our stylish offices in Fulda, D&uuml;sseldorf, or Berlin</li>
<li>A wide range of benefits, including free fruit and drinks, team and after-work events, and digital networking opportunities</li>
<li>A sports allowance to support your hobbies, because we care about the well-being of our team</li>
<li>Attractive employee discounts across our entire product range</li>
<li>Numerous learning and development opportunities, both within and beyond our organization</li>
</ul></div></div><div><h2 class="jobSectionHeader">Contact</h2>
<div>Melissa Barnes
jobs@lampenwelt.de
+49 661-296 962-1216 
#LI-Berlin #LI-D&uuml;sseldorf #LI-Fulda #LI-Hybrid</div></div></div>

AI Engineer (f/m/d) — Applied AI & Machine Learning

SmartBroker

<div><h4 class="jobSectionHeader">Your mission</h4>
For our significantly growing Data, AI &amp; MarketingTech Department, we are looking for several AI Engineers. Our new data team is established to focus on GenAI use case development for client facing product features as well as for increasing efficiencies of internal processes among other data related topics. 
As AI Engineer you are playing a pivotal role in Smartbroker&rsquo;s data &amp; AI journey. You will work at the core of GenAI implementation at the intersection of business, data, and technology, drive innovation and data &amp; AI adoption throughout the organization. Our GenAI use cases are focused on generating significant business value through the usage of most modern AI technologies. 
 
Job Description 
<ul><li>
Design and develop AI use cases for internal processes or client facing product features using up to date GenAI technologies based on LLMs &amp; RAG</li><li>
Develop and maintain the technical AI and machine learning infrastructure for deploying AI-enabled solutions in the cloud</li><li>
Build AI and data features in close collaboration with product engineering teams</li><li>
Implement end-to-end efficient data and AI pipelines according to our data consumers&lsquo; needs up to consumable data &amp; AI products</li><li>
Own the technical implementation and components of your team as well as their operation and maintenance</li><li>
Act as a consultant for other technical teams with regards to usage of GenAI models, tools, and agents</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li>
University degree in a technical field: computer science, business informatics, natural sciences, or similar</li><li>
Expert knowledge on state-of-the-art AI use cases, agentic applications and best practices</li><li>
Expert knowledge in machine learning, generative AI, LLMs &amp; RAG, AI agents and related technical tools (OpenAI, LangChain , Langfuse &hellip;)</li><li>
Very good python &amp; SQL programming skills, Java is a plus</li><li>
Deep technical knowledge of modern cloud based AI platforms (GCP/AWS)</li><li>
Deep knowledge of software engineering best practices&mdash;from requirements specification, version control, CI/CD, and testing to deployment and monitoring of data pipelines and services</li><li>
Familiarity with data &amp; AI security, data regulations, data privacy requirements</li><li>
Proactive, solution-oriented mindset, strong sense of ownership</li><li>
Strong English communication and presentation skills, German is a plus</li><li>
Interest in finance and fintech industry and a sense of humor</li></ul><h4 class="jobSectionHeader">
About us</h4>
Among other things, the Smartbroker Group operates Smartbroker+ - a multi-award-winning online broker that is the only provider in Germany to combine the extensive product range of traditional brokers with the extremely favourable conditions of neobrokers. The portfolio also includes the digital fund broker SMARTBROKER Finance (formerly: FondsDISCOUNT.de), while the Group also operates four high-reach stock market portals (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de and ARIVA.de). With several hundred million monthly page impressions, the Group is the largest independent financial portal operator in the German-speaking world and also maintains the largest financial community. 
The company is one of the pioneers of digital investment. For more than 25 years, we have been committed to breaking down the barriers to investing and enabling user-friendly and cost-effective investment processing. 
 
Our employees are the key to this success. Due to our strong growth momentum, we have created numerous attractive jobs in recent years. Every day, we strive to build the best team and give our employees the space to develop themselves in the best possible way. A diverse team of top performers ensures that we all learn something new every day. From a small team of around 20 people, we have now grown into a company with around 260 employees (as of 31 December 2023), based in a modern office in Berlin-Kreuzberg. 
 
We see ourselves as an innovative fintech that is embedded in a successful group of companies and thus combines a personal working atmosphere with the advantages of a financially strong public limited company. We rely on flat hierarchies, individual development and agile processes in all parts of the company. We are proud of the personal cohesion within the team and the above-average length of service of many employees. We are committed to diversity and equal opportunities. We strive to build a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work and our team will be. 
 
If you want to be part of this fast-growing organisation, apply now to join the Smartbroker Group. 
 
We encourage women, non-binary and transgender people as well as all members of the LGBTQI+ community, people from marginalised ethnic backgrounds and people with visible or non-visible disabilities to apply if they are looking for an inclusive, diverse and safe working environment.</div>

AI Engineer (m/f/d)

idealo internet

<div>idealo&rsquo;s AI Booster Team accelerates the company&rsquo;s adoption of generative AI technology by partnering with product teams, building reusable AI workflows, and championing best practices across the company. You&rsquo;ll shape and deliver scalable LLM systems and agentic workflows that turn ideas into production launches - fast.<h3 class="jobSectionHeader">
About your new role</h3><ul><li>
Collaborate with cross-functional teams to design, prototype, and ship LLM-powered features from ideation to live in weeks.</li><li>
Architect and build advanced LLM workflows and agentic systems - multi-agent orchestration, tool use, and execution flows.</li><li>
Select and evaluate the right models and inference infrastructure for the task, balancing cost, latency, quality, and safety.</li><li>
Develop reusable AI building blocks (e.g., sophisticated RAG pipelines, evaluation frameworks, model adapters) that scale across products and teams.</li><li>
Champion automated evaluations, human-in-the-loop checks, and continuous feedback loops to ensure quality, reliability, and cost effectiveness.</li><li>
Serve as a technical mentor - run office hours, reviews, and workshops to level up GenAI skills across idealo.</li></ul><h3 class="jobSectionHeader"> 
Skills &amp; Requirements</h3><ul><li>
Professional software engineering experience (3 + years) with at least 1+ years hands-on building LLM-centric systems or related generative AI applications.</li><li>
Knowledge of LLM workflows, RAG design, embeddings, vector databases, prompt strategies, and multi-agent patterns - including how to integrate LLMs securely with external systems (auth/OAuth2, token refresh, MCP, tool/function calling).</li><li>
Familiarity with cloud engineering fundamentals (AWS preferred) - infrastructure-as-code, containerization, CI/CD, networking, and monitoring - and an appreciation for security best practices (IAM, secrets management, least privilege, secure API design).</li><li>
Experience with model evaluation, selection, performance optimization, and cost-effective deployment across cloud or hybrid environments.</li><li>
Proficiency in Python (core), and familiarity with at least one modern engineering stack (e.g., FastAPI, Node.js/TypeScript, React) - with bias toward backend, pipelines, and automation logic over UI.</li><li>
High personal agency - you stay on top of the latest GenAI research and tooling, contribute to team knowledge, and push for pragmatic outcomes with a bias for action.</li><li>
Evidence of exceptional achievement - like open-source contributions, AI tooling, competitions, publications, or widely-used engineering artifacts.</li></ul>
You don&rsquo;t tick every box? No worries! We hire people, not checklists &ndash; and value motivation and growth.<h3 class="jobSectionHeader">
At idealo you can expect</h3><ul><li>
You want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching &amp; mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.</li><li>
And what about the office? Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the &quot;standard foosball&quot;. It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.</li><li>
In need of additional support in any areas of your life? We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice.</li><li>
You want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!</li><li>
Want to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.</li><li>
And what else is there? Of course, success must be celebrated! In addition to team events, you can also expect big company events and other moments of organized connection with others in the company and your team throughout the year!</li></ul>
#LI-AJ1</div>

(Senior) AI Engineer – AI Booster Team (m|w|d)

commercetools

<div>
 
 
 About commercetools
 
 
 
 
 
 
 Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.
 
 
 
 
 
 Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers.The kind of people who not only pioneered a more flexible approach to commerce architecture but also shaped the culture of experimentation that approach unlocked. Together they are the engine of commerce innovation today.
 
 
 
 
 
 At commercetools, we power the next era of autonomous commerce for our customers. Whether it&rsquo;s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world&rsquo;s most ambitious companies experiment, scale, and grow without limits.
 
 
 
 
 
 Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.
 
 
 
 
 
 
 Your Impact
 
 
 
 
 
 
 You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty.
 
 
 
 
 
 
 You will:
 
 
 
 
 
 <ul>
 <li>
 Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
 </li>
 <li>
 Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
 </li>
 <li>
 Render model output into live, streamed, accessible UI via generative-UI protocols
 </li>
 <li>
 Ground models in real data: retrieval, embeddings, and feedback loops that actually close
 </li>
 <li>
 Treat evals as a first-class system - provable improvement, not vibes
 </li>
 <li>
 Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature
 </li>
 </ul>
 
 
 
 
 This role is to based in our hubs -
 
 Berlin, Boston, Durham, Munich, London or Valencia
 
 .
 
 
 
 
 
 
 What Sets You Apart
 
 
 
 
 
 
 You're a creative problem-solver who is wired to find solutions. You confidently dive into complex challenges and have a talent for making them simple for others. Your curiosity drives you to constantly grow and contribute to an environment of trust and teamwork. Great ideas come from many paths, and your unique perspective matters more than checking every box. What matters most is the mindset you bring to the work.
 
 
 
 
 
 
 You bring:
 
 
 <ul>
 <li>
 Shipped full-stack apps to production and owned them end-to-end: frontend through backend to deploy and operate, not handed off at a layer boundary
 </li>
 <li>
 5+ years shipping production software, 2+ building with LLMs in production (real users, not demos)
 </li>
 <li>
 Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar). You've built against a generative/agent-driven UI protocol, not just consumed a REST API
 </li>
 <li>
 The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability
 </li>
 <li>
 Working fluency with retrieval/embeddings and SQL
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Fine-tuning/distillation, e-commerce or marketplace systems, and a track record in 0&rarr;1
 </li>
 </ul>
 
 
 
 
 
 Our Benefits
 
 
 
 Because work and life are connected, our benefits are too. We&rsquo;ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.
 
 
 🩺
 
 Comprehensive health benefits
 
 for you and your dependents, including access to OpenUp for personalized mental health support
 
 
 📚
 
 Learning and development
 
 opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs
 
 
 🍼
 
 Family Leave Plus
 
 gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition
 
 
 📈
 
 Our equity participation program
 
 allows you to share in our success
 
 
 
 
 
 For more information on our benefits, visit this page.
 
 
 
 
 
 
 Come as you are. Build with us.
 
 
 
 
 
 
 Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it&rsquo;s the only way to build the future. We celebrate our differences and have created a hiring process that&rsquo;s fair, inclusive, and designed to let your talent shine.
 
 
 We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community.
 
 
 
 
 
 For more information on our diversity, equity, inclusion, and belonging practices, visit this page.
 
</div>

AI Engineer

adjoe

<div>adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world's smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.
Next-Gen Machine Intelligence for Scalable Discovery &amp; Engagement
The Data Science Research team builds foundational ML representations and advanced AI capabilities that enhance both Playtime and adjoe Ads. Operating as a horizontal deep-tech layer, the team leverages advanced AI and deep learning approaches&mdash;specifically generative approaches &mdash;to deliver critical systems such as high-dimensional user embeddings, general content understanding and sequential recommendation. These frameworks scale adjoe's products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users.
The team operates at the intersection of bleeding-edge R&amp;D and high-scale production engineering, acting as the company&rsquo;s internal science bar raiser and primary consulting layer for complex ML bottlenecks. The stack is optimized for deep learning and heavy data throughput: PyTorch and [Ray/Hugging Face] for training and fine-tuning foundation models, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure for heavy workloads. The full lifecycle of these AI capabilities is owned by the team&mdash;from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain high-throughput, realtime production environments.
Your Mission &amp; Who We Are Looking For:<ul><li>
PhD or equivalent research depth, with a track record of technical mentorship. PhD in CS, Statistics, Math, or Physics. Publications in SIGIR, KDD, NeurIPS, or ICLR, and 5+ years building large-scale recommender systems in AdTech, e-commerce, or social. You've owned architectural bets and had accountability for outcomes.</li><li>
You set the research direction. You identify the highest-leverage problems at the intersection of generative AI and recommendation, define the multi-quarter research agenda, and align engineering and product leadership. That means owning how Generative Retrieval, Deep Ranking, and Re-ranking evolve across a stack built on 770 million users' behavioral data.</li><li>
Deep expertise in PyTorch and large-scale model optimization. Hands-on with high-concurrency optimization, quantization, and distillation &mdash; getting large generative models to run under extreme production constraints, not just in research environments.</li><li>
You are the company's deepest resource on generative recommendation. You translate SOTA research into systems adjoe can ship, review architectural decisions across teams, and raise the ML quality bar company-wide. When there's a hard bottleneck, you're the first call.</li><li>
You grow the teams around you. You mentor senior and mid-level scientists, lead architectural debates, and drive long-horizon investments without needing a roadmap handed to you.</li></ul>
We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What&rsquo;s in It for You?
At adjoe, you&rsquo;re not here to just close JIRA tickets, you&rsquo;re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.<ul><li>
Go Big. Own projects with impact on 770M users and push adtech boundaries.</li><li>
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.</li><li>
Be Direct. Solve problems openly and collaborate across teams.</li><li>
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.</li><li>
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.</li></ul>
We welcome applications from people who will contribute to the diversity of our company.</div>

Staff ML Research Scientist (m/f/d)

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