Jobs at Clearml

3 open positions

Open roles

Senior Python Core Engineer (Client SDK)

Home Office, DEremote

About the company At ClearML, our mission is to make infrastructure management effortless across every phase of the AI lifecycle - from building and training AI models to large-scale production. Trusted by more than 2,000 organizations, AI builders and IT teams use our AI infrastructure platform to power everything from early-stage R\&D to mission-critical public sector and enterprise-grade AI pipelines. We’re growing quickly and looking for curious, self-driven individuals who are excited to shape the future of AI and the infrastructure that powers it. Our customers are tackling some of the world’s most important challenges - revolutionizing healthcare, discovering new medicines, securing global finance, protecting national security, and preserving our planet’s ecosystems. About the Role At ClearML, our SDK is the bridge between data scientists and our infrastructure. We are seeking a Senior Python Engineer to work on the client-side clearml open-source library. This is not a standard backend role; you won't be tuning databases. Instead, you will be building the "magic" that allows ClearML to automatically track experiments, creating wheels for PyPI, and ensuring our code runs smoothly in diverse user environments. You will dive deep into Python internals and build integrations with the latest AI frameworks (PyTorch, TensorFlow, vLLM, etc.). If you love metaprogramming, understanding how imports work under the hood, and packaging libraries for thousands of users, this role is for you. Responsibilities Core SDK Development: Design and maintain the client-side Python SDK, ensuring high performance and backward compatibility across Python versions. Automatic Instrumentation: Develop logic to automatically capture code execution, parameters, and metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging \& Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI and Conda. Cross-Platform Reliability: Ensure the SDK functions seamlessly across Linux, macOS, and Windows environments. Debug User Environments: Troubleshoot complex client-side issues related to multiprocessing, serialization (pickle/dill), and memory management. Requirements Requirements 8+ years of professional software development experience. Deep Python Expertise: You understand metaclasses, descriptors, and how Python handles imports and memory. Packaging Experience: Proven experience building and packaging Python libraries (setup.py, poetry, building wheels) and publishing to public repositories (PyPI). Runtime Modification: Strong familiarity with monkey patching, AST manipulation, or writing custom import hooks. AI Ecosystem Knowledge: Familiarity with the internals of frameworks like PyTorch, TensorFlow, or vLLM, llama.cpp. Collaboration: Experience working in a remote, distributed team and contributing to code reviews. * Excellent communication skills and ability to work independently or as part of a team.

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Senior Python Backend Engineer

Home Office, DEremote

About the company At ClearML, our mission is to make infrastructure management effortless across every phase of the AI lifecycle - from building and training AI models to large-scale production. Trusted by more than 2,000 organizations, AI builders and IT teams use our AI infrastructure platform to power everything from early-stage R\&D to mission-critical public sector and enterprise-grade AI pipelines. We’re growing quickly and looking for curious, self-driven individuals who are excited to shape the future of AI and the infrastructure that powers it. Our customers are tackling some of the world’s most important challenges - revolutionizing healthcare, discovering new medicines, securing global finance, protecting national security, and preserving our planet’s ecosystems. About the Role We are seeking a Senior Python Backend Engineer with a very strong background in designing and building high-performance, scalable systems. The ideal candidate is an experienced problem-solver who understands how to design, implement, and optimize complex and secure production systems. Candidates should be comfortable working from home, collaborating with a dynamic and vibrant team from all around the world. The products and technologies you’ll build and maintain will be used by thousands of companies around the world as well as numerous independent developers, data scientists and engineers. ClearML is a fully-remote, open-source company which promotes independence and personal growth and accountability - we look for people who thrive in environments where the technology you develop quickly affects the work and productivity of people around the world. If you like getting quick feedback from real-world users, rapidly shipping features and technologies to production and seeing the difference you make, ClearML is the place for you! Responsibilities Design, develop, and maintain robust Python systems capable of handling high-throughput ingestion and concurrent user sessions. Build and optimize multi-threaded and asynchronous processes for performance and reliability. Manage and optimize data storage and retrieval using MongoDB and Elasticsearch, with a strong focus on performance, scalability, and memory efficiency. Collaborate with cross-functional teams to architect solutions that meet business and technical objectives. Troubleshoot production issues and improve system stability and monitoring. Contribute to code reviews, technical documentation, and best practices for development. Maintain a high-level of secure development and security awareness. Requirements 8+ years of professional experience developing in Python. Proven experience with multi-threaded or asynchronous applications. Strong knowledge of high-volume data architecture using MongoDB and Elasticsearch, including indexing, query optimization, and memory/performance tuning. Solid understanding of software design principles, data structures, and algorithmic efficiency. Proven experience developing REST APIs, messaging systems, and distributed architectures. Strong debugging and profiling skills. Experience collaborating effectively in distributed or remote teams. Excellent communication skills and ability to work independently or as part of a team. Experience with Docker, Kubernetes. * Familiarity with AWS, GCP, or other cloud environments.

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Solutions Architect

Home Office, DEremote

About ClearML At ClearML, our mission is to make AI infrastructure effortless across every phase of the AI lifecycle — from building and training models to large-scale production. Trusted by more than 2,100 organizations worldwide, AI builders and IT teams use our platform to power everything from early-stage R\&D to enterprise-grade AI pipelines. We’re growing quickly and looking for curious, driven individuals who are excited to shape the future of AI and the infrastructure that powers it. Our customers tackle some of the world’s most important challenges — revolutionizing healthcare, discovering new medicines, securing global finance, protecting national security, and preserving our planet’s ecosystems. ### About the Role We are seeking a Solutions Architect who combines deep technical expertise with strong communication and problem-solving skills. The ideal candidate has a solid engineering background — ideally as a hands-on developer or DevOps engineer — and is eager to bridge the gap between technology and business outcomes. As a Solutions Architect at ClearML, you will work directly with enterprise customers to design, deploy, debug and scale AI infrastructure solutions using ClearML’s platform. You’ll collaborate with data scientists, MLOps and Devops teams, as well as IT engineers to ensure success across the AI lifecycle — from infrastructure setup, experimentation and model training to deployment and monitoring. This is a hands-on role that requires technical excellence, clear communication, and the ability to operate effectively in a fast-paced, dynamic environment. ### Responsibilities Engage with enterprise customers to understand their technical challenges, architecture, and goals. Design and implement scalable, secure, and efficient ClearML-based solutions on Kubernetes and cloud/hybrid environments. Lead technical workshops, proofs of concept (POCs), and architecture reviews. Present complex technical concepts in a simple, business-oriented manner. Collaborate closely with Product, Engineering, and Customer Success teams to ensure successful adoption and expansion. Provide guidance and best practices for deploying AI workloads on Kubernetes clusters. Troubleshoot customer environments and provide hands-on support during deployment and onboarding. Contribute to documentation, solution templates, and reusable technical assets. Requirements Strong Hands-on expertise in Kubernetes — deep understanding of architecture, scaling, and operations. Strong communication skills in English, both written and verbal — able to explain complex topics clearly and effectively. Prior experience as a software engineer, DevOps engineer, or MLOps engineer, with the desire to grow into a customer-facing Solutions Architect role. Proven ability to design and deploy solutions in cloud or on-premise environments (AWS, GCP, Azure, or hybrid). Experience with Docker, REST APIs, and Python-based solutions. Comfortable working in a fast-paced, dynamic environment with minimal supervision. Strong presentation skills — able to engage both technical and business audiences. Willingness to work European and U.S. hours as needed for customer collaboration. Team player with a proactive attitude and strong sense of ownership. Preferred Qualifications + Experience in AI/ML infrastructure, MLOps, or data engineering. + Familiarity with distributed systems, model training workflows, or inference serving. Previous experience in pre-sales, customer success, or technical consulting roles. + Benefits ### Why Join ClearML? ClearML is on a mission to make AI infrastructure effortless — from early experimentation to large-scale, production-grade systems. Trusted by 2,100+ organizations worldwide, our platform powers real-world, mission-critical AI workloads. Fully Remote \& Global – Work from anywhere with a distributed team of top-tier engineers. Engineering-First \& Autonomous – High ownership, real responsibility, and freedom to design and ship impactful solutions. High Growth, High Impact – Your work directly affects thousands of users, from startups to large enterprises. + Technically Deep Challenges – Build complex, performance-critical systems at the core of modern AI infrastructure. * Fast Feedback, Real Users – See your work in production quickly and make a measurable difference.

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