Overview: We are seeking a talented Data Engineer to architect and develop our data pipelines from the ground up—managing petabytes of logs, events, and model traces—while establishing a seamless, reliable environment for production, testing, and research tasks.About UsAt White Circle, we focus on AI Safety by creating a robust layer that ensures the safety, reliability, and optimization of AI systems. Our platform is driven by policies, which are straightforward natural-language rules that specify the acceptable behaviors of AI models. We automatically test, enforce, and enhance these policies at scale.We have successfully raised $11M from leading investors, including founders and executives from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, and Sentry.Our system handles over 100 million API calls every month.We develop and fine-tune our own Large Language Models (LLMs) to ensure they operate faster and more economically than any open-source or proprietary alternatives.As a small, dedicated team, we value deep engagement with challenging problems, rapid deployment of your contributions, and the opportunity to significantly impact the construction of AI safety.Your ResponsibilitiesEstablish and uphold a clean and stable data environment, allowing team members to access petabytes of traces, logs, and model outputs in their required formats without delays or manual extraction.Create and manage internal data APIs, SDKs, and tools that empower engineering, product, and research teams to explore, query, and utilize data independently of infrastructure concerns.Monitor and enhance data performance, optimizing table layouts and query plans to ensure smooth analytics and research workflows as data volumes increase.Oversee data access and governance by defining and enforcing permissions, access rules, and security protocols.Desired QualificationsProven experience building or scaling a modern data stack—such as Snowflake, ClickHouse, or event streaming—within a startup or similarly fast-paced environment.Strong proficiency in SQL and Python, with the ability to work effectively with large, complex datasets.Excellent communication skills, enabling you to collaborate directly with engineers and researchers. Fluency in English is required.Bonus: Experience with data visualization tools like Metabase, Tableau, or similar.

Join our team as a Data Scientist and play a key role in managing and optimizing Large Language Models (LLMs) for AI safety.About UsWhite Circle is a pioneering AI Safety company dedicated to enhancing the safety, reliability, and efficiency of AI systems. Our platform is built on policies—clear natural language rules that dictate the appropriate conduct of AI models. We automate the testing, enforcement, and continuous enhancement of these policies at scale.We have secured $11 million in funding from leading investors, including founders and senior leaders from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others.Our operations handle over 100 million API calls each month.We specialize in fine-tuning and training our own LLMs, enabling them to operate faster and at a lower cost than any available model.As a compact and dedicated team, we offer an environment where you can tackle complex challenges, expedite your work into production, and substantially influence the development of AI safety.Your Role:Transform vast amounts of unstructured text into a structured and navigable format (including topics, clusters, segments, trends, and anomalies), moving from “unknown unknowns” to stable definitions for tracking.Develop scalable representation pipelines: including sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval, making the corpus searchable and analyzable.Utilize LLMs in practical applications: implementing labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of incoming volumes, with cost and quality controls in place.Provide actionable insights that inform decisions: convert your findings into product and operational strategies (identifying available data, gaps, quality issues, and prioritization).Create self-service analytics resources: develop datasets, data models, and user-friendly tools/dashboards to enable team members to explore and address inquiries independently.Collaborate closely with engineering and research teams: ensure alignment of pipelines with production constraints (including latency, cost, and privacy) and integrate outputs into existing workflows.You Will Thrive If You:Possess strong skills in Python and SQL, with an engineering mindset capable of building reliable pipelines rather than just notebooks.Have practical experience in applied NLP/ML on real-world text: including embeddings, clustering, and model training.

Overview: We are seeking a talented Product Engineer specializing in Backend Development with Rust to take charge of and enhance the foundational systems that ensure AI safety at a large scale. Your role will involve constructing APIs capable of managing hundreds of millions of requests, implementing real-time policy enforcement, and developing high-throughput data pipelines.About UsWhite Circle is at the forefront of AI Safety, creating the essential safety, reliability, and optimization framework for AI systems. Our platform is built on policies—easily understandable natural-language rules that outline appropriate AI model behavior. We automatically test, enforce, and continuously refine these policies on a massive scale.We have secured $11M in funding from leading investors, founders, and executives from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others.Our systems process over one hundred million API calls each month.We optimize and train our own LLMs to operate more swiftly and cost-effectively than any publicly available or proprietary models.As a compact and highly focused team, we welcome those eager to tackle challenging problems, deliver their work to production swiftly, and actively shape the future of AI safety.Your Responsibilities:Design and implement backend services in Rust that facilitate real-time policy evaluations at scale, ensuring low latency and high reliability.Take ownership of features from inception to deployment: API design, database schema development, and continuous monitoring and iteration.Engage with different layers of the stack as needed; we prioritize problem-solving over rigid role definitions.Enhance system performance and reliability through connection pooling, caching strategies, query optimization, and observability practices.Collaborate directly with product managers, researchers, and ML teams to convert requirements into effective production systems.Ideal Candidate:You have experience building and deploying backend systems in Rust—beyond mere tutorials, you have real-world production experience.You are well-versed in async Rust (Tokio), web frameworks (Axum, Actix), and database interaction patterns.You possess strong system design fundamentals, capable of assessing trade-offs, failure modes, and scalability.You have hands-on experience with PostgreSQL, adept at crafting efficient queries and designing schemas.

Overview: We are on the hunt for a skilled DevOps Engineer to architect and sustain the cloud and on-premise infrastructure that powers our innovative platform. Your responsibilities will span Kubernetes clusters, CI/CD pipelines, observability, networking, and automation, ensuring our production environment is reliable, secure, and scalable.About White CircleWhite Circle is dedicated to AI Safety, developing a framework that guarantees the safety, reliability, and efficiency of AI systems. Central to our platform are policies—clear, natural-language guidelines that dictate the permissible actions of AI models. We automate the testing, enforcement, and enhancement of these policies at scale.We have successfully secured $11M in funding from industry leaders and top-tier investors, including veterans from OpenAI, Anthropic, HuggingFace, and more.Our systems handle over one hundred million API calls each month.We specialize in fine-tuning and training our own LLMs for optimal performance and cost-efficiency compared to existing models.As a small, focused team, we value deep engagement with challenging problems. If you’re eager to see your contributions rapidly deployed into production and influence the future of AI safety, we want to hear from you.Your Responsibilities:Design, develop, and maintain production infrastructure in AWS and on-premise environments.Oversee and enhance Kubernetes clusters for deployment, scalability, reliability, and daily operations.Develop and maintain CI/CD pipelines to facilitate safer, quicker, and more reliable software releases.Manage container infrastructure, focusing on Docker image management, runtime security, and overall lifecycle.Increase system reliability, performance, and observability through rigorous monitoring, alerting, and troubleshooting.Implement infrastructure as code using Terraform for consistent and adaptable environments.Manage networking across the stack, including routing, firewalls, load balancing, and inter-cluster communication.Automate processes and enhance workflows using Python scripts and internal tools.Collaborate with engineering and ML teams to bolster product infrastructure, internal platforms, and compute-intensive workloads.Ideal Candidate:Possesses a strong background in cloud infrastructure, particularly AWS.Demonstrates expertise in Kubernetes and CI/CD practices.Is proficient in Python and Terraform.Exhibits a solid understanding of networking concepts.Thrives in a collaborative, fast-paced environment.

Quick Overview: In this role, you'll be at the forefront of AI development, training and refining vision-language models, extending their capabilities to video, creating alignment pipelines, developing evaluation benchmarks, optimizing production inference, and engaging with MoE architectures.About UsWhite Circle is a pioneering AI Safety organization dedicated to building a robust safety, reliability, and optimization framework for AI systems. Our platform operates on straightforward natural-language policies that dictate the appropriate behaviors of AI models. We automate the testing, enforcement, and ongoing enhancement of these policies at scale.We have successfully raised $11 million from prominent investors, including founders and senior leaders from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and more.Our infrastructure processes over 100 million API calls every month.We specialize in fine-tuning and training our proprietary LLMs to ensure faster and more cost-efficient performance than any available open or proprietary models.We are a compact, highly motivated team. If you are eager to tackle challenging problems, get your work deployed rapidly, and significantly impact the construction of AI safety – we want to hear from you.Your Responsibilities:Train vision-language models from the ground up and fine-tune existing architectures for advanced image understanding.Expand VLM capabilities to video by designing innovative temporal modeling approaches and efficiently managing long-context.Develop impactful evaluation benchmarks focusing on visual QA, spatial reasoning, and video comprehension.Curate and maintain multimodal datasets, including creating synthetic data generation pipelines.Train and optimize MoE architectures to enhance multimodal inference efficiency.Deploy models into production, focusing on quantization, batching strategies, and latency optimization.You Will Excel If You Have:3+ years of experience in training and fine-tuning vision-language models (e.g., LLaVA, Qwen-VL, InternVL).A strong background in multimodal architectures, with a clear understanding of how vision encoders, projectors, and LLMs integrate.Hands-on experience with RLHF/alignment for multimodal systems, specifically GRPO, DPO, and reward modeling.Experience in video understanding, including temporal modeling and efficient attention mechanisms.

Join our dynamic team as a Frontend Product Engineer and play a pivotal role in ensuring the safety and integrity of large language models (LLMs).About White CircleWhite Circle specializes in AI safety, developing a comprehensive framework for the reliability, safety, and optimization of AI systems. Our platform is centered around clear, natural-language policies that dictate the appropriate and inappropriate actions of AI models. We continuously test, enforce, and enhance these policies on a large scale.Secured $11 million in funding from leading investors, including founders and senior executives from OpenAI, Anthropic, HuggingFace, and more.Handling over 100 million API calls monthly.Expertly fine-tuning and training our own LLMs for enhanced performance and cost-effectiveness compared to other models.Our small, focused team is looking for individuals eager to tackle challenging problems, quickly implement their work into production, and significantly contribute to the development of AI safety standards.Your Qualifications:Proficient in TypeScript, React, Next.js, and Tailwind CSS.Experience with LLMs, including familiarity with the OpenAI API, function calling, and context management.Ability to write complex SQL queries without needing external references.Strong focus on design, usability, and performance, prioritizing quality over mere functionality.Your Responsibilities:Oversee and deliver product features across the entire stack, from design and implementation to deployment and ongoing improvements.Craft intuitive, high-quality user experiences, ensuring smooth transitions from user onboarding to in-depth analysis.Collaborate with founders, product managers, designers, ML engineers, and researchers to transform intricate AI functionalities into user-friendly, dependable products.Lead the complete development lifecycle while influencing technical direction, product strategy, and engineering culture.Why Choose White Circle?Competitive salary ranging from $80,000 to $150,000 plus equity options.20 days of paid vacation annually.Opportunities to work from Paris in a hybrid model, including a relocation package.

Odaseva is looking for a Data Engineer to join the team in Paris. This role centers on building and maintaining data pipelines that keep the company’s data infrastructure running smoothly. The work helps ensure data stays accurate and accessible for business needs. Key responsibilities Develop and maintain reliable data pipelines to support business operations Monitor data integrity and address issues as they come up Collaborate with teams across Odaseva to deliver effective data solutions Contribute to projects that enhance business insights and improve operational workflows Location This position is based in Paris.

Role Overview airapps is hiring a Data Engineer in Paris to help turn raw data into clear, useful insights. This role focuses on designing, building, and maintaining scalable data pipelines. The position also involves integrating data from multiple sources and supporting analytics teams with reliable, well-structured data. What You Will Do Design and develop scalable data pipelines Integrate data from a variety of internal and external sources Maintain and optimize data architecture for performance and reliability Monitor and improve data quality Support analytics teams by ensuring access to accurate, well-organized data Location Paris

At Joko, we empower consumers to shop smarter and save money. Our mission is to transform the shopping experience, helping individuals make informed decisions about their purchases.Founded in the vibrant city of Paris, Joko is a forward-thinking tech company and a certified B Corp, boasting a diverse team of over 90 professionals across Paris, Barcelona, New York, and beyond. With more than 5 million users benefiting from our services at over 10,000 merchants, we are committed to making shopping more rewarding.We continuously innovate, offering solutions like cashback, automated coupons, price alerts, and carbon tracking. Currently, we are developing an AI-powered shopping assistant designed to help users select the best products based on price, quality, and sustainability.Having achieved profitability in our core market, we are excited to expand globally, with a keen focus on the US market. Join us on this journey and help shape the future of shopping!‍ About Our Data TeamThe Data team at Joko plays a pivotal role in converting data into actionable insights that drive innovation across the company. Within the Data & Operations department, our primary goal is to establish robust data foundations that empower all teams to make informed, rapid, and scalable decisions.Currently, our team comprises Data Analysts who handle a wide array of tasks, from building dashboards and conducting analyses to designing and managing data pipelines. We are now seeking our inaugural Data Engineer who will take charge of our infrastructure, set new benchmarks for scalability and reliability, and create a solid data platform to support Joko's future growth and AI initiatives in this dynamic environment.Key Responsibilities:Develop data as a product: Design, document, and maintain reliable datasets utilized across the organization for business reporting, experimentation, automation, and internal tools.Manage and enhance a modern data stack: We utilize Snowflake, dbt, Airbyte, and Metabase. As we expand, we plan to optimize our pipelines, strengthen orchestration, and enhance monitoring and governance.Provide actionable insights and support AI initiatives: Deliver high-quality reports, self-service dashboards, and data tools that empower teams across Product, Operations, and Marketing to analyze and act on data. Lay the groundwork for data science initiatives and AI-driven features that will shape the future of Joko’s offerings.Promote a data-centric culture: At Joko, we believe that data is everyone’s responsibility. We encourage a robust data culture by fostering collaboration and education among all teams.

At White Circle, we are creating a safety layer for contemporary AI systems—an innovative application designed to prevent harmful behaviors and ensure the security of AI in our world. Organizations leverage our platform to gain insights into their models’ behaviors, identify potential failures proactively, and maintain stable and secure interactions.As a Digital Product Brand Designer, you will play a pivotal role in defining the visual identity of White Circle. Your responsibilities will encompass crafting illustrations, launch visuals, social media graphics, brand animations, and event graphics, all contributing to our unique visual voice.About White CircleWe have successfully raised $11 million from founding members and executives of top AI companies, including OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and more.We handle tens of millions of API requests each month.Your ResponsibilitiesDevelop and enhance our brand's visual identity.Design graphics for our website, announcements, product pages, and social media posts.Create visuals for events, presentations, and product launches.Transform complex AI concepts into visuals that are simple, clear, and impactful.Collaborate directly with product, engineering, and research teams, allowing for rapid iterations and complete ownership of your work.QualificationsA minimum of 5 years of experience in brand or graphic design.Proven ability to create visually appealing designs with a strong sense of taste, layout, and typography.Competency in basic animations using your preferred tools.Familiarity with AI tools integrated into your workflow.Why Join White Circle?Be part of a small, agile team that moves quickly.Experience a culture free from corporate politics.Enjoy real ownership of your projects and the ability to implement changes swiftly.Receive direct feedback and engage in honest collaboration.Contribute to meaningful projects that significantly impact how people interact with AI.Work in an office with stunning views in the heart of Paris, France (hybrid setup).CompensationSalary range: $60,000–120,000 + equity.Enjoy unlimited budget for professional development.

About StaycationAt Staycation, we believe that hotels should be more than just a travel destination; they should be part of your everyday life.Our mission is to unveil the hidden gems within hotels, from breathtaking rooftop views to world-class dining experiences, and transform them into urban leisure destinations.With over 4 million users across France, Belgium, and Switzerland, and a partnership with more than 2,000 premier hotels, we are redefining how people engage with their cities.Join us in our quest to reimagine urban hospitality, providing a unique escape for locals and travelers alike.

About OguryOgury is a leading global adtech firm specializing in Personified Advertising solutions that prioritize privacy. We serve brands, agencies, and publishers by focusing on persona targeting rather than individuals.At Ogury, we provide extensive audience reach on high-quality publisher inventory through our exclusive data, which is meticulously obtained from millions of self-reported customer surveys, enhanced with billions of critical data points, and refined through AI. This leads to audience insights and performance metrics that are unmatched by any other adtech platform.Established in 2014, Ogury is a diverse global organization with a team of over 500 professionals across 19 countries.At Ogury, our shared vision is our strength. We believe that our diverse backgrounds and experiences are key to our success. We celebrate individuality, fostering a unique culture where everyone feels secure, has equal opportunities, and is encouraged to bring their authentic selves to work every day.Together, we are transforming the adtech landscape with values that inspire excellence, standards that promote leadership, and an inclusive environment where Ogurians feel engaged and valued.

Theodo: Pioneering Digital TransformationSince 2009, Theodo has empowered innovative companies to design, develop, and deploy ingenious digital products, leveraging cutting-edge technology and a Lean approach.With exceptional growth over the past 15 years, Theodo now boasts a team of over 700 passionate Software Engineers dedicated to continuous improvement. Our expansion has led to specialized divisions (Theodo Apps, Theodo Cloud, Theodo Data & AI) focused on various technologies and industries (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to achieve a revenue of €100M.Theodo Data & AI: Innovating with Intelligence Established in 2016, Theodo Data & AI is dedicated to guiding clients in shaping and executing their data strategies while developing state-of-the-art artificial intelligence solutions. Our growth trajectory is impressive, with over 30% annual revenue growth, creating exciting opportunities for our team.Join Our Dynamic Team:We work collaboratively across our projects, with the Lead Data & AI Engineer, Data & AI Engineer, and Product Manager ensuring impactful results for our clients.We are seeking a Data & AI Engineer to work across our Data Engineering and Data Science initiatives.- Data Engineering: Focus on data architecture, pipeline construction/migration, and data warehousing to ensure reliable data extraction, transformation, and usability.- AI/Data Science: Involve in predictive modeling, machine learning, computer vision, and MLOps.Your Responsibilities:- Deliver high-quality code within deadlines, ensuring best practices (testing, refactoring) and effective debugging for sustainable solutions.

Join Theodo as an Engineering Manager in Paris!Since 2009, Theodo has been a driving force in supporting innovative companies with the design, development, and deployment of ingenious digital products, leveraging cutting-edge technology and a Lean approach.Theodo has experienced remarkable growth over the last 15 years, now boasting a team of over 700 passionate software engineers dedicated to continuous improvement. As we expand, we have structured our organization into specialized entities focusing on different technologies (Theodo Apps, Theodo Cloud, Theodo Data & AI) and industries (Fintech, Govtech, Healthtech, Consumer Goods). By 2025, we anticipate generating €100M in revenue.Theodo Data & AI, established in 2016, is dedicated to data and AI solutions. Our mission is to guide clients in crafting and executing their data strategies, along with researching and developing state-of-the-art artificial intelligence solutions.Our company is on an upward trajectory, with Theodo Data & AI seeing over 30% annual revenue growth, creating exciting new opportunities for our team!The technical team at Theodo comprises 120 software engineers, tech leads, and architects from top engineering schools, supported by 13 Engineering Managers dedicated to their success.Your mission includes:- Leading and mentoring Tech Leads: You will support 1 to 4 Tech Leads in enhancing their skills and achieving personal growth.- Ensuring technical delivery: You will guarantee code quality (3S: stability, security, speed), adherence to milestones, and architectural robustness.- Contributing to business development: You will participate in strategic discussions with clients (CIOs, sponsors, etc.), help identify opportunities, and play a key role in pre-sales with our sales team.Your tools for success:• Direct management by Theodo's CTO or VP of Engineering• Lean management training from top Lean coaches• Access to advanced technology and resources to support your team's success

Join Vizzia as a Senior Data Engineer and play a pivotal role in transforming data into actionable insights. Collaborate with cross-functional teams to design and implement robust data pipelines and solutions that enhance our analytics capabilities.

About Our Missions:At Avisia, we engage with our clients on 100% data-focused projects that integrate both technical and strategic dimensions, where data drives operational performance. As a Data Engineer, you will be the architect who makes data actionable. Depending on your profile, you will contribute to building robust data platforms (Data Lakehouse) or the industrialization of complex flows intended for AI.Our clients, spanning luxury, retail, telecommunications, and banking sectors, are facing an explosion in the volume and variety of data. Your role will be to ensure the fluidity, quality, and security of these data flows.Current Projects Include:Migrating on-premise legacy systems to a Cloud Lakehouse architecture (Snowflake/Databricks). #CloudMigrationIndustrializing complex pipelines on GCP (BigQuery, Dataform) with a strong observability culture (Dynatrace) and CI/CD practices. #OrchestrationDeploying applications, APIs, and AI services (ML prediction algorithms, chatbots, etc.) #MLOpsAuditing and redesigning ingestion pipelines to reduce computing and storage costs on GCP or AWS. #PerformanceDeveloping Kafka components, exposing them via APIs, and ensuring the performance of real-time flows on an international scale. #Streaming

Join our innovative team at Vusion Group SA as a Data Platform Engineer. You will play a pivotal role in designing, developing, and maintaining our data platforms, ensuring high performance and scalability. Collaborate with cross-functional teams to deliver state-of-the-art data solutions that drive business insights and optimize decision-making processes.

About MakiMaki is revolutionizing the HR landscape with fully autonomous AI hiring agents. Our technology streamlines the hiring process, from sourcing and screening to interviewing and selection, allowing HR teams to concentrate on what truly matters: engaging top talent and driving organizational success. Trusted by industry leaders such as H&M, BNP Paribas, and FIFA, Maki automates 90% of the screening and interviewing process, reducing time-to-hire by threefold and decreasing turnover by 20-30%.At Maki, we’re not just offering another tool; we’re shaping the future of AI-powered talent acquisition.Your Role as a Data Engineer Data EngineerAs a Data Engineer at Maki, you will create the data infrastructure that empowers our AI agents, product analytics, and customer insights. Your goal is to transform raw data into actionable insights, enabling every team at Maki to enhance decision-making, discover product opportunities, and provide an exceptional customer experience.Your responsibilities will include:Developing and maintaining essential data pipelines and models that drive product and business insights.Defining the collection, structuring, and tracking of product data to gain deep insights into user behavior and product performance.Creating clean, reliable, self-service data assets that empower Product, Customer Success, and Engineering teams to quickly explore and answer critical questions.Standardizing our metrics and data language to ensure the organization operates from a unified source of truth.Promoting data reliability and quality to guarantee our systems scale with accuracy, transparency, and trust.

Join our dynamic team at Meritis as a Data Engineer (H/F) in the heart of Paris. We are looking for passionate individuals who are eager to innovate and drive data solutions that empower business decisions.

About the Data Engineer Internship Wakam is looking for a Data Engineer Intern to join the team in Paris. This internship offers the chance to work closely with experienced engineers and contribute to building and improving data solutions that support business goals. What You Will Do Collaborate with team members to design and develop data pipelines and systems Help implement data solutions that support data-driven projects Work with modern data engineering tools and methods Gain practical experience in a real-world business setting Location Paris