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At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github. About the Role Roles at Hugging Face are very fluid and dynamic — we are looking for someone who is comfortable taking on different challenges that will evolve over time. You'll join the Applications team, whose goal is to build the tooling that helps developers create machine learning applications on top of the primitives we offer on the Hub: Gradio , Spaces , Inference Providers, Datasets, Xet, and more. Concretely, that means maintaining and growing libraries like Trackio , a local-first, agent-friendly experiment tracking platform, FastRTC , our library for real-time audio and video streaming in Python, and Gradio itself, used by more than 1 million developers each month. These tools have made machine learning accessible to a wide audience — for the first time in history, anyone with an internet connection can use cutting-edge models right from their browser. Several of these libraries are still early in their life, and new ones will start from scratch. A large part of this role is taking a project from its first users to widespread adoption: shaping the API, shipping fast, and getting it into developers' hands. Key responsibilities include: • Designing, developing, and maintaining core features across the team's libraries, ensuring scalability, reliability, and ease of use for ML developers. • Architecting complex Python projects and frameworks that serve as foundational tools for the ML community. • Growing early-stage libraries: defining the API surface, writing the demos and documentation that make them click, and driving adoption in the developer community. • Working on real-time streaming and networking capabilities, a core priority for Gradio 7 and beyond. • Collaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support. • Integrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications. • Adapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes. Requirements If you love open-source, are passionate about making machine learning more accessible, have experience building Python frameworks, and want to contribute to some of the fastest-growing libraries in the ML ecosystem, then we can't wait to see your application! What you'll need • Bachelor's degree or equivalent in Computer Science or a related field • 5+ years of professional Python development experience • Experience architecting complex Python projects or frameworks • A track record of taking early-stage libraries or products from first users to broad adoption • Professional experience with JavaScript or TypeScript • Professional experience with a modern frontend framework such as React or Svelte • Experience core-contributing to or maintaining open-source software projects Nice to have • Experience with real-time audio/video streaming or networking (WebRTC, WebSockets) • Contributions to libraries such as pipecat , LiveKit , FastAPI , or Starlette If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact. One more thing At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words “ GPU-poor and proud ”. No trick, no catch, it just tells us a real person is on the other side. Benefits More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer …

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 3M+ models, 1M+ datasets & 1.47M+ apps. Our open-source libraries have more than 600k+ stars on Github. About the Role We are building the open voice-agent stack for Hugging Face, and we are looking for a senior engineer to own a large part of it.Two things sit at the centre of this role. The first is speech-to-speech , our open-source library for realtime voice agents. The second is hf-voice, a new product that will let any developer build and deploy voice agents with their Hugging Face account. The library already powers the Reachy Mini fleet and there is a public demo running on Spaces, so you won't start from a blank page. But almost everything about how this becomes a product developers rely on is still open, and you will have a direct say in it. Your missions: • Own the Open-Source Library: • Take architectural ownership of large parts of speech-to-speech: pipeline design, latency budget, and the reliability of the realtime loop. • Integrate new ASR, TTS and end-to-end speech models as they land, and keep the abstractions clean while the model landscape keeps moving. • Review community PRs, triage issues, cut releases, and grow the group of contributors around the project. • Ship hf-voice: • Design the developer API and the streaming protocol: session lifecycle, transport (WebSockets/WebRTC), authentication, error semantics, versioning. • Build the serving side: realtime inference on GPU, concurrency, autoscaling, observability, and cost per session. • Work with the Hub and inference teams so that a working voice agent is easy to integrate into products and demos. • Take the product from demo to production: load testing, SLOs, graceful degradation when a model or a network path misbehaves. • Work in the Open: • Write the docs, examples and templates that get a developer from zero to a running agent in minutes. • Support the deployments already relying on the stack, starting with the Reachy Mini fleet. • Talk about the work publicly if you enjoy it: blog posts, demos, conference talks. We cover the travel and the prep time. Requirements What we're looking for • Senior engineer, able to own a substantial part of an architecture and drive it forward autonomously. • Experience building developer-facing infrastructure at an AI or developer-tools company: inference APIs, agent infrastructure, or something comparable. • Substantial open-source contributions to a Python library. Comfortable with async Python and distributed systems, including their failure modes. • You have shipped something realtime: streaming, WebSockets or WebRTC, audio or video pipelines, live inference. • Practical experience with LLMs or multimodal models in production. Clear written communication and a habit of collaborating async and in public. • Motivated by voice and conversational AI. Bonus points if you have • Contributions to a voice-agent framework such as speech-to-speech, pipecat, LiveKit Agents, Vocode or TEN. • Contributions to llama.cpp or another low-level inference runtime. • Hands-on work with ASR, TTS or end-to-end speech models, including evaluation of latency and quality trade-offs. • GPU serving, quantization, or on-device inference experience. • Audio pipeline knowledge: VAD, echo cancellation, jitter buffers, barge-in and turn detection. • Experience shipping to embedded or robotics targets. • A public track record: talks, blog posts, demos. About You If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact. One more thing At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words “ GPU-poor and proud ”. No trick, no catch, it just tells us a real person is on the other side. Benefits More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging …

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github. About the Role As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack. About You You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, we can't wait to see your application. What you'll need • Strong Python skills, with experience writing clean, well-tested, maintainable library code • Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus) • Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries • A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub • Solid understanding of modern machine learning and deep learning, including transformer architectures • Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord) • Fluent written English for asynchronous collaboration across a distributed, global community Nice to have • Experience maintaining an open-source project • Prior contributions to Transformers, Datasets, Accelerate, or similar libraries • Familiarity with distributed training, inference optimization, or GPU/accelerator performance work • Experience training or fine-tuning models at scale A note on fit If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact. One more thing At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words “ GPU-poor and proud ”. No trick, no catch, it just tells us a real person is on the other side. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are . While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders . All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention …

OUR VISION & PRODUCTS EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories. Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we’re only just getting started! OUR TEAM We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) YOUR ROLE Most LLM roles stop at experimentation. Here, the models you improve power experiences for 50M+ users. Most of our traffic runs on self-hosted, fine-tuned open-weight models. On our internal roleplay evals, our smaller fine-tuned models can outperform much larger off-the-shelf models. Your job is to make them better. You’ll join a small AI team led by Marco, our LLM Tech Lead, working closely with our CTO, Product, Web and DevOps teams. You’ll work across data, post-training, evals, and model behavior, taking ideas from failure analysis to production. The problems are real: personalization, character consistency, long conversations, better evals, multilingual behavior, and faster training cycles. If you want to shape model behavior at consumer scale, this is the role. KEY RESPONSIBILITIES • Fine-tune open-weight LLMs using SFT, LoRA/QLoRA and post-training methods such as DPO and GRPO • Diagnose model failures and turn them into experiments. Decide whether the answer is better data, post-training, prompting or classifiers • Build training data and evals that directly shape what gets trained next • Improve model behavior across personalization, consistency, tone, multilingual and group interactions • Ship to production and use real user behavior to guide the next iteration • Speed up the training loop so experiments are faster, easier to compare, and more reproducible YOUR QUALIFICATIONS • You’ve personally post-trained open-weight LLMs for a user-facing product and shipped them to production • You’ve worked where AI was core to the product or business, not an experimental side feature • Fine-tuning is core to your experience • Strong Python, PyTorch and Hugging Face, with hands-on GPU training and debugging • You build data and evals yourself and make decisions from evidence • You can take work beyond notebooks into production • You use AI tools daily in your own engineering work • You are fully comfortable working with uncensored models and explicit NSFW content, including harmful material when developing and evaluating moderation system BONUS POINTS • Experience with conversational AI, roleplay products, or highly personalized consumer AI • Multilingual LLMs • Moderation, safety, or adversarial testing • Multimodal models • Open-source LLM / post-training contributions WHY EVERAI? Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it Global Impact: Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale WHAT WE OFFER Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact Work From Anywhere: Fully remote. Choose the environment where …

Infisical is the open source security infrastructure platform that engineers use for secrets management, certificates, and privileged access management. We help developers and organizations securely manage billions of secrets every month including application configuration, database credentials, certificates, and more. We’ve raised $19M from Y Combinator, Google, and Elad Gil, and our customers include Hugging Face, OpenRouter, LG, and NVIDIA. Join us on a mission to make security easier for all developers — starting with secrets management. We’re looking to hire exceptional talent to join us in building the open source security infrastructure stack for the AI era. About the role We’re looking for an exceptional Full Stack Engineer to help us build, optimize, and expand the foundation of the platform. We’ve kept our hiring standards exceptionally high since we expect engineers to tackle a broad range of challenges on a day-to-day basis. Examples of past engineering initiatives include developing strategies for secret rotation and dynamic secrets, a gateway to provide secure access to private resources, protocols like EST and KMIP , integrations for syncing secrets across cloud providers, and entire new product lines such as Infisical PKI and Infisical PAM. You’ll be working closely with our CTO and the rest of the engineering team to: • Develop and maintain features whilst communicating directly with enterprise customers. • Expand our newer Infisical PKI , Infisical PAM , and Infisical KMS product lines. • Experiment with novel approaches for applying AI to secrets management and more broadly security infrastructure. Requirements • Deep technical mastery of the JavaScript ecosystem, particularly React.js, Node.js, and TypeScript. • Exceptional attention to detail and eager to learn. • A bias toward action—able to make decisions with incomplete information, iterate quickly, and take calculated risks. • Based in the Americas (US or Canada), Brazil, India, UK, or EU. Must work US hours. Nice to have • Expertise in Go. • Has some understanding of devops/developer tools. • Previous founder or startup experience. • Previous experience building in open source or developer tools in either a professional or personal setting. • Excellent written and oral communication skills to interact with customers directly. Team, values & benefits Our team brings experience from companies like Databricks, AWS, Red Hat, and more. We operate primarily as a remote team, but maintain a strong presence in San Francisco, where we have an office. We also get together in person throughout the year for off-sites, conferences, and team gatherings. At Infisical, we offer competitive compensation, including both salary and equity options. Additional benefits, such as a lunch stipend and a work setup budget, are available with more details to be found on our careers page .

Infisical is the open source security infrastructure platform that engineers use for secrets management, certificates, and privileged access management. We help developers and organizations securely manage billions of secrets every month including application configuration, database credentials, certificates, and more. We’ve raised $19M from Y Combinator, Google, and Elad Gil, and our customers include Hugging Face, OpenRouter, LG, and NVIDIA. Join us on a mission to make security easier for all developers — starting with secrets management. We’re looking to hire exceptional talent to join us in building the open source security infrastructure stack for the AI era. About the role We’re looking for an exceptional Senior Full Stack Engineer to help us build, optimize, and expand the foundation of the platform. We’ve kept our hiring standards exceptionally high since we expect engineers to tackle a broad range of challenges on a day-to-day basis. Examples of past engineering initiatives include developing strategies for secret rotation and dynamic secrets, a gateway to provide secure access to private resources, protocols like EST and KMIP , integrations for syncing secrets across cloud providers, and entire new product lines such as Infisical PKI and Infisical PAM. You’ll be working closely with our CTO and the rest of the engineering team to: • Develop and maintain features whilst communicating directly with enterprise customers. • Expand our newer Infisical PKI , Infisical PAM , and Infisical KMS product lines. • Experiment with novel approaches for applying AI to secrets management and more broadly security infrastructure. Requirements • Deep technical mastery of the JavaScript ecosystem, particularly React.js, Node.js, and TypeScript (3+). • Exceptional attention to detail and eager to learn. • A bias toward action—able to make decisions with incomplete information, iterate quickly, and take calculated risks. • Based in the Americas (US or Canada), Brazil, India, UK, or EU. Must work US hours. Nice to have • Expertise in Go. • Has some understanding of devops/developer tools. • Previous founder or startup experience. • Previous experience building in open source or developer tools in either a professional or personal setting. • Excellent written and oral communication skills to interact with customers directly. Team, values & benefits Our team brings experience from companies like Databricks, AWS, Red Hat, and more. We operate primarily as a remote team, but maintain a strong presence in San Francisco, where we have an office. We also get together in person throughout the year for off-sites, conferences, and team gatherings. At Infisical, we offer competitive compensation, including both salary and equity options. Additional benefits, such as a lunch stipend and a work setup budget, are available with more details to be found on our careers page .

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll build the partnerships function that scales our curriculum—bringing the world's leading content providers, technology vendors, and highest-profile instructors onto DataCamp so millions of learners can build the skills that matter. About the role This is a player-coach role that reports to our Content organization. You will own the partnership strategy end-to-end, personally close the deals that define it, and then build a small team behind you as the function grows. Here's what your day-to-day will look like: • Own DataCamp's partnership strategy for curriculum: which content providers, technology vendors, and marquee experts we partner with, in what order, and why. • Source, negotiate, and close partnerships—licensed and co-branded content, official vendor certifications, and marquee instructor deals. • Build and manage senior relationships across the AI, data, and cloud ecosystem, from partner leadership through to their content and product teams. • Work with curriculum, product, legal, and marketing to take partnerships from signed agreement to live content that learners actually complete. • Define what a high-quality partner looks like for DataCamp and hold the bar—prioritizing depth and learner impact over volume of logos. • Own the commercial and contractual side of partnerships, including licensing terms, revenue share, and instructor agreements. • Hire, coach, and grow a small partnerships team over time, while continuing to carry your own portfolio of relationships. • Report on partnership performance to leadership, and make the call on which partnerships to double down on and which to retire. Qualifications: • 3-5+ years in partnerships, alliances, or business development at a B2B SaaS or technology company, with a track record of sourcing and closing deals you personally led. • Deep fluency in the AI, data, and cloud landscape. You know who the players are, how the ecosystem is shifting, and which partners will matter in 18 months. • Experience in the education, EdTech, or enterprise L&D market, and a real understanding of what makes learning content valuable to a buyer and to a learner. • Proven ability to build a function from near-scratch: you’re a self-starter and are able to seamlessly switch from strategy to execution. • Strong commercial and negotiation skills, including comfort with licensing, revenue share, and content rights. • Excellent cross-functional judgment. You can hold your own with content, product, and legal teams and translate between partner ambitions and internal reality. Bonus if you have the following • An existing network across AI and data technology vendors, certification bodies, or the creator and expert community in data and AI. • A deep understanding of the DataCamp course format—you have an intuitive sense of what makes a great DataCamp course. • Experience as an educator or curriculum developer in technical education. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI. • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more. • Competitive Compensation – We offer a competitive salary with attractive benefits. • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture. • Professional Growth – Access to a yearly learning & development budget. • Global Culture – Join a team that values international collaboration. • Annual Retreats – Participate in international company retreats, fostering a global team spirit. • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace. Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

Aufgaben • Als GenAI Engineer (m/w/d) entwickelst und implementierst du eigenständig Generative-AI-Modelle, (Multi-)Agent-basierte LLM-Anwendungen und KI-basierte Lösungen für unsere kundenspezifischen Anforderungen. Dabei identifizierst und analysierst du Probleme im Kontext von KI und generativen Modellen. • Du entwickelst und wartest KI-Pipelines, APIs und interaktive Anwendungen und arbeitest an Komponenten wie Large Language Models, multimodalen Modellen, Knowledge Graphs und KI-gestützten Produkten. • Die Arbeit an komplexen KI-Projekten , die Analyse von Geschäftsanwendungen für generative KI und die Übersetzung in technische Lösungen ergänzen deine Tätigkeiten. • Du nutzt deine Kommunikationsstärke , um eng mit unseren Kunden zusammenzuarbeiten, deren Probleme im Kontext von GenAI zu analysieren und die Ergebnisse verständlich zu präsentieren. • Du arbeitest über verschiedene Technologie-Stacks hinweg , z. B. Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM-Frameworks und Cloud-Infrastruktur. • Du bist Mentor für Junior-Kolleg:innen im Bereich KI und sorgst für Wissenstransfer innerhalb des Teams. • Du profitierst von unserem Team, Lernressourcen, Hackathons und anderen Möglichkeiten, deine technische Entwicklung im Bereich Generative AI voranzutreiben und in der Community präsent zu sein. Benefits • Regelmäßige und systematische (externe und interne) Weiterbildungsmöglichkeiten in Generative AI, LLM-Entwicklung und Cloud-Architektur • Zugang zu branchenübergreifenden Projekten , z. B. Banken, Versicherungen, Automotive, Einzelhandel • Kooperationen mit führenden Partnern in Cloud, AI/ML und AutoML und Zugang zu Enterprise-Versionen führender LLMs • Arbeit in einer offenen, flachen Umgebung innerhalb eines breiten Reply-Netzwerks zum Wissensaustausch • Preisgekrönte Büroräume in der Münchner Innenstadt mit Zugang zur Stammstrecke • Deutschlandticket • Unterstützung sportlicher Aktivitäten über EGYM Wellpass und weitere Benefits der Reply Gruppe • Flexible Arbeitsumgebung zwischen Kundenprojekten, Reply-Büro und Remote-Arbeit

Description The Opportunity We are hiring a highly execution-focused Senior Technical Developer (Contract) to own the technical and systems layer of an enterprise project controls platform. Our software replaces the messy spreadsheet-and-email toolchain that dominates megaproject oversight with a single production-live system serving major capital construction programs. Because our data directly informs client decisions worth millions of dollars, absolute data accuracy and system reliability are core table stakes. This role is ideal for an implementation partner with expert-level TypeScript and React fundamentals who wants to step directly into a production codebase and build out real-world ML/AI infrastructure (including fine-tuned LLMs and voice interactive pipelines)—not just wrap basic APIs. You will work directly with the founder in an environment completely free of ticket theater and management layers. • Work Model: Remote | Contract • Time Commitment: 25–40 hours / week • Timezone Requirement: EST/CST • Compensation: Open What You’ll Own • Act as the primary implementation partner working directly in a production codebase. • Own the building, engineering, and feature deployment of full-stack system features. • Design, implement, and submit clean Pull Requests (PRs) for review. • Build and maintain robust machine learning pipelines, covering training data preparation, fine-tuning scripts, and system evaluations. • Write complex raw PostgreSQL database schemas, queries (CTEs, window functions), and data migrations. • Develop, scale, and optimize high-throughput model inference steps and custom voice pipelines (STT/TTS). • Decompose feature briefs, propose structural technical architectures, and autonomously resolve backend production bugs. Requirements Experience • 3+ years of production experience with strict TypeScript/JavaScript (generics, type inference, discriminated unions). • Production React experience with clear ownership over shipping and maintaining real, live web applications. • Next.js App Router literacy , demonstrating deep familiarity with server vs. client components, middleware, and route handlers. • SQL Fluency with raw PostgreSQL ; you must have zero dependency on an ORM. • Python proficiency explicitly tied to data preparation, training, and evaluation for machine learning pipelines. • Strict Git workflow discipline , maintaining clean commits and structural code review habits. • Familiarity or deep learning trajectory inside ML infrastructure frameworks (personal projects, fine-tuning experiments, or coursework). Skills • Strong independent research skills to learn unfamiliar technical stacks and specialized domains without hand-holding. • Excellent written English communication skills for documentation, thorough code reviews, and technical notes. • High technical agency to fill the gaps given an ambiguous brief, proposing sensible fallback paths independently. • Meticulous attention to detail: you test your own edge cases and ensure work is right the first time. Nice-To-Have • Hands-on PyTorch and Hugging Face model fine-tuning (PEFT/LoRA, Transformers library). • Voice/speech ML engineering background (STT, TTS, or end-to-end voice pipeline tuning). • GPU infrastructure management capabilities (self-hosted GPU servers, CUDA, resource monitoring). • Front-end data visualization expertise (Tailwind CSS, Radix unstyled primitives, complex dashboard trend charting). • Automated document report generation systems (PDF, Excel, Word exports). • DevOps exposure: Docker containerization, multi-stage builds, and automated CI/CD pipelines. • Prior domain exposure to capital construction, industrial software, or engineering project controls. Success Metrics Ramp-Up Milestones • Day 30: Local environment completely running, 5–8 production PRs successfully merged, full data tracing verified from the database to the UI, and basic domain familiarity achieved. • Day 60: Autonomously implementing core features, writing raw SQL migrations confidently, handling active production bugs, and launching initial LLM fine-tuning experiments. • Day 90: Decomposing broad feature briefs into standalone technical tasks, proposing architecture modifications, showing full-stack comfort, and actively contributing to voice AI and ML infrastructure pipelines. Benefits Why This Role Stands Out • Fully remote flexibility across global talent pools. • Direct impact on enterprise assets: Your code directly influences active capital construction programs worth millions of dollars. • Production ML experience: Opportunity to fine-tune LLMs, build real voice pipelines, and manage GPU inference server clusters on actual running systems, not simple demo tools. • Specialized domain depth: Gain high-value expertise in a specialized, multi-billion dollar industrial sector that most developers never get to touch. • Modern, zero-bloat stack: Build with fresh, current tools …

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you’ll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here’s what your day-to-day will look like: • Manage the entire content development lifecycle and deadlines. • Source and recruit top-tier subject-matter experts as instructors. • Collaborate with instructors to create engaging content. • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective. • Continuously assess course performance using learner feedback and engagement data to drive improvements. • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. Qualifications: • A solid technical background in Python and SQL. A technical background in data engineering is a plus. • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences. • Graduate degree (Master’s or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development. • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI. Bonus if you have the following • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course. • An existing network of potential subject matter experts who can become DataCamp instructors. • An extensive track record of building sophisticated AI systems and workflows. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team: • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI. • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more. • Competitive Compensation – We offer a competitive salary with attractive benefits. • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture. • Professional Growth – Access to a yearly learning & development budget. • Global Culture – Join a team that values international collaboration. • Annual Retreats – Participate in international company retreats, fostering a global team spirit. • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace. Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.