Applied Research Scientist at Superhuman | Berlin, Germany

Superhuman offers a full-time dynamic hybrid working model for this role. This flexible approach allows team members to experience the best of both worlds: a balance of focused work time and in-person collaboration that nurtures trust, creativity, and a robust team culture.About SuperhumanSuperhuman, which now includes Grammarly as part of its suite, is an innovative AI productivity platform on a mission to unleash superhuman potential in everyone. Our apps and intelligent agents seamlessly integrate with over a million applications and websites, making work more efficient. Our offerings include Grammarly’s advanced writing assistance, Coda’s collaborative workspaces, Mail’s effective inbox management, and Go, our proactive AI assistant that understands context and provides timely support. Founded in 2009, Superhuman serves over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, enabling them to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for an Applied Research Scientist who possesses a strong interest in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. This team is dedicated to developing user-facing features across all Superhuman applications, enhancing the way our users write, collaborate, and communicate in large groups. The successful candidate will contribute unique insights during the product development process, from ideation through to defining solutions. Leveraging a profound understanding of ML/DL/NLP concepts, the Applied Research Scientist will design approaches to tackle complex challenges and enhance our product offerings.At Superhuman, our engineers and researchers enjoy the freedom to innovate and explore groundbreaking solutions, which directly influences our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the technical challenges we face are rapidly evolving. For more insights, read about our tech stack or check out our technical blog.Your ImpactAs an Applied Research Scientist, you will harness your enthusiasm for creating innovative product solutions that positively impact millions. Staying abreast of the fast-evolving field of NLP while focusing on building production-ready systems will be key to your success.

Superhuman embraces a dynamic hybrid work model for this internship. This flexible approach allows team members to enjoy focused work time while also benefiting from in-person collaboration that fosters trust, innovation, and a strong team culture.About SuperhumanSuperhuman, which includes Grammarly as part of its AI productivity platform, is dedicated to unlocking the superhuman potential within everyone. Our suite of applications and agents integrates seamlessly with over 1 million apps and websites, enhancing productivity through innovative tools. Our offerings include Grammarly’s writing assistance, Coda’s collaborative workspaces, and Go, a proactive AI assistant that understands context and delivers automated help. Since our founding in 2009, we have empowered over 40 million individuals and 50,000 organizations globally, including 3,000 educational institutions, to eliminate busywork and focus on what truly matters. Discover more at superhuman.com.The OpportunityTo achieve our ambitious goals, we are seeking a motivated PhD student to join our Research team for a 3-month internship in the summer of 2026. Ideal candidates should be nearing the completion of their Master’s or PhD studies and possess a strong background in natural language processing (NLP), machine learning (ML), and deep learning (DL). Flexible start dates are available within the summer months.In this role, the intern will engage with a variety of complex challenges associated with modern LLMs, including writing assistance, personalization, AI detection, and more. Our Research team actively contributes to leading journals and participates in conferences while developing next-generation features and products for tens of millions of daily active users.Superhuman’s engineers and researchers are empowered to innovate and achieve breakthroughs, directly influencing our product roadmap. As our technical challenges grow with the scaling of our interfaces, algorithms, and infrastructure, you can learn more about our team's work on our technical blog.As an Applied Research Intern, you will be pivotal in addressing some of Superhuman’s most significant research challenges. Your responsibilities will include:Engaging in an end-to-end research challenge that aligns with your team’s strategic goals.Collaborating with a mentor to scope, design, and execute a well-defined project throughout your internship.Working closely with other team members to share insights and drive innovation in your area of focus.

Superhuman embraces a vibrant hybrid working model, offering team members the perfect blend of focused work time and in-person collaboration, fostering trust, innovation, and a robust team culture.About SuperhumanGrammarly is now a part of Superhuman, an AI productivity platform dedicated to unlocking the superhuman potential within everyone. The Superhuman suite of applications and agents integrates with over 1 million tools and websites, bringing AI capabilities directly to users. Our product range includes Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, an AI assistant that intuitively understands context and provides automated help. Since our inception in 2009, Superhuman has empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions around the globe, enabling them to eliminate busywork and concentrate on what truly matters. Discover more about us at superhuman.com and our values here.The OpportunityAt Superhuman, we are redefining communication and productivity through trusted AI. We are looking for a Senior User Researcher to join our impactful UX and Marketing Research team. In this critical role, you will spearhead research initiatives for our innovative Agents team, playing a key role in shaping the development and strategic vision of products designed to enhance productivity for professionals and students alike.In this position, you will collaborate closely with cross-functional teams—Product, Design, Data Science, and Marketing—to pinpoint essential business inquiries, employ rigorous methodological approaches, and distill insights that guide strategic decisions. By utilizing various research techniques, you'll uncover actionable insights about current and prospective Superhuman users, while promoting a culture of human-centered, data-driven decision-making that propels our evolution as leaders in AI-assisted communication.

About Parloa Parloa is dedicated to transforming customer interactions into seamless experiences. As the demand for agentic AI grows, our team is at the forefront of redefining customer support, ensuring that every interaction is not just a transaction but a meaningful exchange. With the power of AI, we have facilitated over one billion interactions for leading global brands like IKEA and Booking.com, implementing our solutions at scale. About the Role: We are looking for a Principal Applied Scientist who will spearhead our applied AI strategies, focusing on AI agents and Generative AI. This role is both hands-on and impactful, bridging the gap between research and production. You will explore, validate, and enhance methodologies that directly influence our products, including model evaluation, agent behavior, and context engineering. You will also define the metrics for measurement and improvement across the industry. In addition to execution, you will serve as a technical leader, identifying opportunities and building a robust framework for applied science at Parloa. Areas of Ownership: Define and lead applied AI initiatives focused on agent systems, LLM evaluation, and model optimization. Manage ambiguous problem spaces end-to-end: from conceptualization and experimentation to real-world impact. Design and implement evaluation & benchmarking frameworks, challenging existing industry standards and creating new benchmarks where necessary. Drive innovation in agentic systems, including routing, memory, and context engineering. Prototype and validate new methodologies, such as model combinations and fine-tuning strategies. Translate research into production-ready solutions in close collaboration with engineering teams. Act as a technical authority, mentoring team members and establishing best practices. Establish and lead the Applied Science guild, promoting knowledge sharing and elevating standards across teams. Influence product and technical strategy, pinpointing how applied science can drive maximum value. Who You Are: 12+ years of experience in applied science or a related field. Proficient in AI agent technology and generative models. Strong problem-solving skills with a passion for innovation. Exceptional leadership and mentoring abilities. Ability to collaborate effectively across teams.

Superhuman embraces a dynamic hybrid working model for this position, offering team members the ideal balance of focused work and in-person collaboration that nurtures trust, innovation, and a vibrant team culture.About SuperhumanSuperhuman is at the forefront of AI productivity, empowering individuals to reach their superhuman potential. As the proud home of Grammarly, our suite of applications integrates seamlessly with over 1 million platforms, enhancing productivity through intelligent features. Our offerings include Grammarly's writing assistance, Coda's collaborative spaces, and Go, an AI assistant that proactively provides contextual support. Since our inception in 2009, we have transformed the workflows of more than 40 million users, 50,000 organizations, and 3,000 educational institutions globally. Discover more at superhuman.com.The OpportunityIn pursuit of our ambitious goals, we seek a Site Reliability Engineer (SRE) to strengthen our infrastructure team. This pivotal role involves developing software to enhance the reliability of our backend systems, collaborating closely with engineers, and strategizing for future scalability. You will engage with our existing production engineering teams in the EU as we transition away from the “you build it, you own it” approach.The engineers and researchers at Superhuman are given the freedom to innovate and drive breakthroughs, subsequently influencing our product roadmap. As we expand our interfaces, algorithms, and infrastructure, the complexity of our technical challenges continues to grow. Learn more about our technical endeavors on our technical blog.As an SRE, your responsibilities will include:Scaling our Kubernetes-based control plane that processes billions of events daily.Enhancing our automation systems that respond to workload demands.Deploying machine learning systems company-wide.

Superhuman Platform Inc seeks a Data Engineer for its Berlin hub. This role centers on building and refining data solutions that help drive ongoing projects. The position involves close collaboration with multiple teams to keep data processes efficient, while upholding strong standards for data quality and accessibility. What you will do Design and implement data pipelines and systems to meet project requirements Collaborate with colleagues across departments to improve and streamline data workflows Monitor data integrity and maintain reliable data availability across various platforms Location This position is based in Berlin and operates within a hub model, encouraging in-person collaboration.

Superhuman fosters a vibrant hybrid work environment, allowing team members to benefit from focused individual work while also promoting in-person collaboration that nurtures trust, creativity, and a robust team culture.About SuperhumanSuperhuman, the innovative AI productivity platform, is dedicated to unlocking the superhuman potential in everyone. Our suite of applications integrates seamlessly with over a million platforms, offering tools like Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, our proactive AI assistant. Since our establishment in 2009, we have empowered over 40 million individuals and 50,000 organizations, including more than 3,000 educational institutions globally, helping them eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com.The OpportunityTo pursue our ambitious objectives, we are seeking a QA Engineer to join our engineering team. Our engineers are encouraged to innovate and drive breakthroughs, significantly influencing our product roadmap. As we scale our interfaces, algorithms, and infrastructure, you'll face increasingly complex technical challenges. Learn more about our team on our technical blog.As a QA Engineer at Superhuman, you will play a pivotal role in developing our core internal platform, enabling the creation and deployment of agents across all platforms. In this role, you will:Manage and enhance the weekly release process, ensuring it is efficient, predictable, and low-risk.Identify and eliminate bottlenecks in the release pipeline while continuously improving speed and reliability.Coordinate across dependencies, given the team's position at the intersection of native and web systems.Contribute to an engineering culture that emphasizes documentation, testing, and user experience.

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the core of both scientific and business operations. While foundation models have revolutionized text and image processing, structured data has remained largely neglected. We are seizing the opportunity in this $600 billion sector to fundamentally reshape how organizations interact with scientific, medical, financial, and business data.Our Progress: As a global leader in structured data machine learning, our TabPFN v2 model has been featured in Nature, establishing a new benchmark for tabular machine learning. Following its launch, we have enhanced our model's capabilities by over 20 times, achieving more than 2.5 million downloads and over 5,500 GitHub stars, with rapid adoption across both research and industry. We are currently advancing the next generation of tabular foundation models and actively partnering with enterprises globally across Europe and the US.Our Team: Our team comprises over 20 highly skilled engineers and researchers, meticulously selected from a pool of over 5,000 applicants. With backgrounds from top-tier organizations such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, we are led by the creators of TabPFN and receive guidance from esteemed AI researchers, including Bernhard Schölkopf and Turing Award recipient Yann LeCun. Discover more about our team here.What’s Ahead: Supported by premier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are expanding rapidly. Now is the perfect time to join us and help shape the future of structured data AI. Explore our manifesto.Role OverviewAs a member of our data science team, you will work with a revolutionary class of AI models. In the position of Data Scientist at Prior Labs, you will act as a vital bridge between our cutting-edge technology and its practical applications. You will be a super-user of our foundation models, gaining a profound understanding of their capabilities, presenting compelling use cases, and influencing our product roadmap.This multifaceted role will require you to take on various responsibilities and connect different facets of our organization. Here’s how you will make an impact:Power User & Innovator: Engage deeply with our innovative TFMs (such as TabPFN), experiment extensively with unique features like ICL, and discover new applications.

Superhuman offers a full-time dynamic hybrid working model for this role. This flexible framework allows team members to enjoy both focused work time and in-person collaboration, fostering trust, innovation, and a robust team culture.About SuperhumanSuperhuman, now a part of Grammarly, is revolutionizing productivity through AI, dedicated to unlocking the superhuman potential within everyone. Our suite of applications seamlessly integrates with over 1 million platforms and websites, providing tools such as Grammarly's writing assistance and Go, our proactive AI assistant. Founded in 2009, we empower over 40 million users and thousands of organizations and educational institutions globally to eliminate busywork and prioritize what truly matters. Discover more at superhuman.com and explore our core values here.The OpportunityTo reach our ambitious targets, we are seeking a talented Android Engineer to join our Mobile Team. This role presents a unique opportunity to develop new features and capabilities that will enhance the Superhuman Android experience to world-class standards.Our engineers and researchers enjoy the freedom to innovate and drive breakthroughs that directly influence our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the complexity of our technical challenges is rapidly increasing. For insights from our team, check out our technical blog.Writing effectively on mobile devices poses significant challenges, particularly in professional environments. Our Superhuman AI Writing Assistant, launched in 2023, aims to make effective and error-free writing easily accessible on mobile. Since its introduction, it has gained substantial traction, with users engaging with it over seventy times daily.Creating a seamless writing assistant experience brings unique challenges, as there is no tolerance for delays or glitches in a product that users rely on for immediate responses. As an Android Engineer, you will:Work closely with the Product, Design, and Machine Learning teams to translate new ideas from concept to production.Contribute to the ongoing architecture of our mobile products, ensuring outstanding responsiveness and performance, even in resource-constrained environments.

About UsAt reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.We believe that the true potential of generative AI can only be achieved by tackling the world's most significant information challenges. With over two decades of expertise in reinforcement learning and natural language processing, we are poised to make a substantial impact in this field.Our team consists of scientists, builders, and entrepreneurs who have pioneered some of the most influential AI applications. Having led teams at industry giants like Google, DeepMind, and EY Parthenon, we now connect cutting-edge AI research with the biopharma sector.

Superhuman offers a dynamic hybrid working model for this role, blending focus time with in-person collaboration to cultivate trust, innovation, and team culture.About SuperhumanGrammarly is now part of Superhuman, an AI productivity platform dedicated to unlocking the superhuman potential within everyone. The Superhuman suite of applications integrates with over 1 million platforms and websites to enhance productivity. Our offerings include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that intuitively understands context to provide automated support. Founded in 2009, Superhuman empowers over 40 million users, 50,000 organizations, and 3,000 educational institutions globally to reduce busywork and concentrate on what truly matters. Discover more at superhuman.com.The OpportunityTo reach our ambitious objectives, we are seeking a passionate PhD student to join our Research team for a 3-month internship in the summer of 2026. We prefer candidates who are nearing the completion of their Master’s or PhD with expertise in natural language processing (NLP), machine learning (ML), and deep learning (DL). The internship offers flexible start dates during the summer.This position will involve addressing various challenges associated with modern large language models (LLMs), such as writing assistance, personalization, AI detection, and more. Our Research team actively publishes in prestigious journals and participates in conferences, all while developing next-generation features and products for millions of daily users.Grammarly’s engineers and researchers enjoy the freedom to innovate and drive breakthroughs, directly influencing our product roadmap. As we expand our interfaces, algorithms, and infrastructure, the complexity of our technical challenges increases. Learn more from our team on our technical blog.As an Applied Research Intern, you will help tackle some of Superhuman’s most significant research challenges. In this role, you will:Engage in an end-to-end research challenge aligned with your team’s high-level goals.Collaborate with a mentor to define, design, and execute a comprehensive project throughout your internship.Work alongside a talented team of professionals from whom you can learn daily.Develop cutting-edge tools for tackling complex problems.

At Lever, founded eight years ago, we address one of the most critical challenges faced by organizations: recruiting and hiring exceptional talent. Our mission is to develop the next generation of hiring software, trusted by industry leaders such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify to enhance their teams. We have revolutionized the talent acquisition landscape and are proud to be at the forefront of innovation in our field, seeking outstanding individuals to join our journey as we expand. We take great pride in what we’ve accomplished so far, being honored as the #1 workplace in San Francisco and recognized among the top employers across the United States. Our greatest asset is our people; we are committed to investing in our 'Leveroos' and fostering a culture that prioritizes our team members. Join us as a Data Scientist!

Mirelo AI is at the forefront of innovation, crafting the future of creative tools through advanced technology that generates realistic sound, speech, and music from video.Our pioneering foundational generative AI models breathe life into silent video content, producing custom, hyper-realistic audio tailored for gaming, video platforms, and content creators. By empowering storytellers worldwide, we enable the transformation of their narratives.After successfully securing a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures, with additional support from Atlantic, we are rapidly scaling our teams across Product, Engineering, Go-to-Market, and Growth.Role OverviewAs a Research Scientist at Mirelo, you will be central to the development of next-generation multimodal video-to-audio models. This position entails hands-on research and development work, supported by an impressive H100/200-per-engineer ratio, allowing you to explore and innovate new multimodal models and extend the frontiers of music, sound, and speech generation. Your collaboration across research and engineering will be key as you conduct focused ablation studies, derive actionable insights, and guide the team with clear next steps. From data curation to deployment, you will actively contribute to shaping the entire lifecycle of the models that drive our products and partnerships.Key ResponsibilitiesDesign, implement, and train large-scale multimodal generative models for audio generation (including diffusion and autoregressive models).Investigate innovative modeling concepts for audio generation across music, sound, and speech, drawing inspiration from the language and image domains.Develop and test new capabilities through post-training methods (e.g., fine-grained control, in/out-painting, editing).Conduct thorough ablation studies, derive actionable insights, and effectively communicate findings to guide future research directions.Engage in all stages of model development, including data curation, experimentation, evaluation, and deployment.Ideal Candidate ProfileProven hands-on experience in training large-scale generative models within a dynamic research environment.In-depth understanding of advanced methods and machine learning research in at least one domain: image, language, video, or audio (specific audio expertise is a plus).Strong proficiency in PyTorch and transformer architectures, alongside a comprehensive knowledge of the modern deep learning ecosystem.Solid grasp of statistical methods, data analysis, and model evaluation techniques.

Intercom is seeking an IT Specialist in Berlin to help maintain and improve the company’s IT infrastructure. This position supports daily technology needs and works closely with team members to resolve technical issues as they arise. Role overview This role focuses on keeping systems running smoothly, assisting colleagues with IT challenges, and contributing to ongoing improvements in hardware and software environments. Attention to detail and a proactive approach are important in this position. What you will do Maintain and enhance IT infrastructure Support team members with technical issues Contribute expertise to improve technology processes Requirements Interest in technology and IT systems Detail-oriented and proactive mindset Ability to support a team with IT needs

Join Our TeamAt Prior Labs, we are revolutionizing the way organizations interact with tabular data—the essential framework of scientific and business operations. While foundation models have already transformed text and image processing, structured data has largely been overlooked. We are seizing a $600B opportunity to redefine how industries manage their scientific, medical, financial, and business information.Our Achievements: As the leading authority in structured data machine learning, our TabPFN v2 model has set a new benchmark presented in Nature. With over 2.5 million downloads and more than 5,500 stars on GitHub, our model capabilities have grown by over 20x, showcasing its rapid adoption across both research and commercial sectors. We are now developing the next generation of tabular foundation models for global enterprises in Europe and the US.About Our Team: Comprising over 20 elite engineers and researchers selected from a pool of more than 5,000 candidates, our team boasts expertise from industry giants such as Google, Apple, Amazon, and CERN. Led by the creators of TabPFN and advised by eminent AI researchers like Bernhard Schölkopf and Turing Award winner Yann LeCun, we are poised for groundbreaking advancements. Meet the team here.Looking Ahead: With backing from top-tier investors and industry leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting time to join us as we shape the future of structured data AI. Explore our manifesto.Role OverviewAs a pioneering Research Scientist, you will be at the forefront of developing a groundbreaking class of AI models. Our latest innovation, TabPFN, has significantly outperformed existing methodologies, marking a pivotal moment in AI research. This role offers a unique chance to:Engage in transformative AI breakthroughs rather than merely incremental advancements.Influence global organizational practices regarding their most valuable data.Join us at a crucial juncture following our recent funding and rapid scaling.We are challenging the limits of transformer architectures in structured data. Key challenges include...

Join Mirelo AI in revolutionizing creative tools by crafting realistic sound, speech, and music from video content.We are at the forefront of developing innovative generative AI models that enhance silent video content, delivering custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers storytellers around the world to elevate their content.Having recently secured a $41 million Seed funding round co-led by Andreessen Horowitz and Index Ventures, with contributions from Atlantic, we are rapidly expanding our teams across Product, Engineering, Go-to-Market, and Growth initiatives.About the RoleAs a Research Scientist at Mirelo, you will play a pivotal role in pushing the boundaries of generative audio. Your innovation will directly impact the quality of our underlying audio representations. You will engage with our modeling stack, designing, training, and assessing neural audio codecs that will influence the performance of our next-generation music and sound models. Collaboration with the model team will be essential as you explore both continuous and discrete representations and develop evaluation tools to measure our progress in building superior generative audio models.

Join Our Dynamic AI Team:At SumUp, a leader in the fintech space, we are dedicated to providing an unparalleled customer experience. Our Global Operations team seeks a talented and enthusiastic Data Scientist to enhance our AI initiatives. You will play a pivotal role in developing models that directly impact customer interactions and the overall efficacy of our AI products.In this position, you will engage in the design, testing, and implementation of advanced machine learning and AI models. Your efforts will bolster our customer support framework by pinpointing areas for improvement and customizing experiences to meet merchant requirements.Your collaboration with diverse teams—including analysts, ML engineers, and product managers—will be essential in translating business objectives into actionable, measurable ML solutions. Your work will shape the future of our customer support, enabling SumUp to remain a customer-centric organization.

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the way we process text and images, the potential of structured data remains largely untapped. We are seizing a monumental $600B opportunity to redefine how organizations interact with scientific, medical, financial, and business datasets.Our Momentum: We are recognized as the global leader in structured data machine learning. Our groundbreaking TabPFN v2 model, featured in Nature, has set a new benchmark for tabular machine learning. Since its launch, we have scaled our model's capabilities by over 20 times, achieving more than 2.5 million downloads and garnering over 5,500 stars on GitHub. Our technology is rapidly gaining traction in both research and industry, paving the way for the next generation of tabular foundation models which we are actively commercializing with leading enterprises across Europe and the US.Our Team: We are a selective and dynamic group of over 20 engineers and researchers, handpicked from a pool of more than 5,000 applicants. Our diverse backgrounds include industry giants such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and receive guidance from eminent AI researchers, including Bernhard Schölkopf and Turing Award laureate Yann LeCun. Discover more about our team here.Join Us: With support from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is your chance to help shape the future of structured data AI. Read our manifesto.Your Impact AreasAs a Research Scientist Intern, you will be at the forefront of collaborating on a novel class of AI models that go beyond mere incremental improvements. At our early-stage startup focused on foundation models for tabular data, you will encounter a myriad of thrilling research opportunities and challenges that align with your interests and expertise. Our initiatives include:Enhancing our transformer architectures to effectively handle datasets from 10K to over 1M samples without sacrificing performance.Developing multimodal models that integrate textual and tabular data on proprietary datasets.Creating tailored architectures for time series analysis, forecasting, and anomaly detection.

Your RoleDevelop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.QualificationsDemonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.Our Data Science StackLanguages: Python, SQLLibraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNXBackend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQueryAI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.Bonus PointsContributions to open-source projects.Deployment of side/hobby projects.

About zenjob zenjob connects companies with temporary workers through an AI-powered staffing platform. Since 2015, zenjob has helped businesses instantly book staff and enabled students to find part-time jobs that fit their academic schedules. The platform serves over 40,000 students and 1,000 partner companies in logistics, retail, and hospitality across major German cities. The team believes that advanced technology and genuine commitment lead to great work. Role Overview: Data Scientist The Data Scientist will analyze and optimize marketplace performance while uncovering talent behavior from first engagement through long-term retention. This role sits within a centralized Analytics & Data Science team, working closely with Marketing, Sales, Product & Engineering, and Operations. The main goal: define clear metrics, build reliable data models, and turn complex analysis into business decisions that drive results. Main Focus Areas Marketing Effectiveness: Study the impact of different channels and campaigns on growth. Talent Lifecycle: Explore user behavior from acquisition and activation to retention and lifetime value. Marketplace Performance: Examine how supply and demand interact on the platform. Your Responsibilities Define and maintain key metrics across the marketplace and user lifecycle, using reliable dbt models trusted by all teams. Build self-service dashboards, reporting layers, and playbooks that make data more accessible and actionable for internal teams. Develop attribution and measurement models (such as multi-touch attribution, data-driven attribution, and Marketing Mix Models) to assess channel effectiveness in acquisition and engagement. Model talent behavior with a focus on conversion, retention, and Customer Lifetime Value to support sustainable marketplace growth. Design and evaluate experiments (including A/B tests and incrementality tests) to measure the causal impact of marketing and product changes.