Senior Machine Learning Engineer (Bucharest)
Design and implement machine learning architectures for medical imaging and longevity medicine. Collaborate with domain experts to translate scientific research into production-ready AI systems.
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Design and implement machine learning architectures for medical imaging and longevity medicine. Collaborate with domain experts to translate scientific research into production-ready AI systems.
The role involves designing, developing, and deploying scalable machine learning models to solve real-world problems. The engineer will collaborate with cross-functional teams to integrate these models into production systems and optimize them for performance.
Build, train, and deploy high-performance computer vision and multimodal models from prototype to production. Design scalable data pipelines and optimize models for inference latency and throughput using advanced acceleration techniques.
Build, train, and deploy high-performance computer vision and multimodal models from prototype to production. Design scalable data pipelines and optimize inference latency for large-scale visual understanding tasks.
Define and drive the ML technical roadmap for Live Ads, focusing on forecasting, targeting, and yield optimization. Collaborate across teams to architect and deploy large-scale ML solutions that improve ad quality and performance.
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Build and integrate ROS/ROS2-based modules to support robotic navigation and data collection workflows. Develop and maintain end-to-end machine learning pipelines for training, evaluating, and monitoring model performance in production.
Design and develop end-to-end computer vision models and pipelines for biometrics use cases such as face detection and recognition. Optimize models for low-latency inference and mentor other ML engineers on technical best practices.
Design, build, and deploy end-to-end AI and ML systems with a primary focus on agentic capabilities and A2A protocols. Own the full science feature lifecycle from research and prototyping to production and support.
Develop user-facing APIs, SDKs, and tools to streamline access to AI infrastructure. Collaborate with research and product teams to translate complex ML workflows into scalable and secure abstractions.
Build and deploy robust ML systems for search, including text, image, and multimodal approaches to improve relevancy and business KPIs. Tune LLMs and collaborate with technical teams to integrate models into production pipelines.
Own the reliability, security, and safety of generative media model APIs to ensure high availability and performance. Build monitoring systems to detect ML-specific failures and lead incident response for model API outages.
Lead a team of ML scientists to define and execute the Borrowing ML roadmap for UK growth and EU expansion. Oversee the development of underwriting, pricing, and lifecycle decisioning models to improve commercial impact and strategic advantage.
Lead the design, development, and scaling of AI-powered solutions and enterprise-grade LLM systems to solve complex business challenges. Partner with stakeholders to define strategic roadmaps and mentor other machine learning engineers on design and coding standards.
Architect and maintain the machine learning production lifecycle by designing scalable infrastructure and automation pipelines. Collaborate cross-functionally to deploy, monitor, and optimize AI models to ensure high performance and security.
Lead the design and deployment of advanced predictive models for credit risk, collections, and operations. Drive the strategic roadmap for machine learning and serve as a technical advisor to senior leadership.
Lead the development of novel ML systems and AI solutions to transform Airbnb's customer service experience. Work cross-functionally to design and build scalable, intelligent services including LLM optimization and RAG.
Train and evaluate cutting-edge AI models by solving complex technical problems and narrating the reasoning process. Review AI-generated responses for accuracy and write improved exemplars or structured feedback.
We watch for new "machine learning" jobs and email you the matches. Free. Unsubscribe in one click.
Train and evaluate cutting-edge AI models by solving complex technical problems and narrating the reasoning process. Review AI-generated responses for accuracy and depth while writing improved exemplars and structured feedback.
Train and evaluate cutting-edge AI models by solving complex technical problems and narrating the reasoning process. Review AI-generated responses for accuracy and write improved exemplars or structured feedback.
Train and evaluate cutting-edge AI models by solving complex technical problems and narrating the reasoning process. Review AI-generated responses for accuracy and write improved exemplars or structured feedback.
Train and evaluate cutting-edge AI models by solving complex technical problems and narrating the reasoning process. Review AI-generated responses for accuracy and write improved exemplars or structured feedback.
Participate in research projects by sharing expertise on workflow management tools through interviews, surveys, and written tasks. Provide insights on tool selection, organizational needs, and development practices to help improve AI models.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
Participate in research projects, interviews, and surveys to provide expert feedback on workflow management tools. Share professional insights regarding tool selection and organizational needs to help improve AI models.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
We watch for new "machine learning" jobs and email you the matches. Free. Unsubscribe in one click.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise regarding the evaluation, selection, and implementation of development processes.
Participate in research projects, AI-moderated interviews, and surveys to provide expert feedback on workflow management tools. Share professional insights regarding tool selection, organizational needs, and development processes.
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