Bumble Inc.
Our mission is to create a world where all relationships are healthy and equitable, through Kind Connections.
501 - 1000
Software Engineer, Machine Learning
May 22
🔄 Hybrid – London
Bumble Inc.
Our mission is to create a world where all relationships are healthy and equitable, through Kind Connections.
501 - 1000
Description
• Work in a small, dynamic team that values agility, creativity, and autonomy • Contribute to the technical development of new (generative) AI-powered features in our apps • Collaborate cross-functionally with teams across the business to identify user needs and design AI and Machine Learning solutions that meet these needs • Collaborate with the MLOps team to optimize AI and Machine Learning solutions for performance and scalability • Mentor and coach team members on ML engineering best practices • Stay up to date with the latest developments in AI to drive innovation
Requirements
• An advanced degree in Computer Science, Mathematics or a similar quantitative discipline • Hands-on experience in delivering machine learning models to production at scale • Demonstrated ability to develop innovative technical solutions to complex problems • Experience in writing production-quality Python code • Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow • Comfortable working with modern LLM deployment frameworks and libraries, such as HuggingFace TGI, VLLM, TensorRT-LLM, or similar • Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting • Comfortable working with Docker and containerised applications • Experienced at deploying highload ML applications on container orchestrators (bare-metal k8s, GKE, EKS) • Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes • Strong communication skills, and the ability to work collaboratively and proactively in a fast-paced environment alongside technical and non-technical stakeholders • A genuine passion for AI and Machine Learning, and a thoughtful approach to AI fairness, accountability, and transparency.
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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