Top Machine Learning Jobs in Poland

The Staff Machine Learning Engineer will enhance Zendesk's search platform, deliver AI capabilities, mentor team members, and ensure service stability. Responsibilities include collaborating on feature development, technical discussions, and addressing challenges in retrieval systems and LLM technologies.

Develop SaaS platform components, participate in Agile activities, debug complex problems, and automate tests to ensure high-quality software.

As a Machine Learning Engineer at Solventum, you will design automated pipelines for data processing, train and deploy deep learning models, and ensure compliance with healthcare regulations while collaborating with cross-functional teams.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

As a Senior Software Engineer on the Car Experience team, you will guide backend development and machine learning data pipelines focused on enhancing rider experience in autonomous vehicles.

Design and develop an application-level ML simulator for performance analysis, collaborating with teams to optimize system performance.

Design and develop software solutions for AI/ML applications, propose new approaches to optimization problems, and collaborate with global teams in research and development.

As a Machine Learning Engineer, you will implement and maintain ML Ops pipelines, deploy models, and guide team members on best practices.

The role involves conducting R&D in machine learning, particularly in model training and architecture development. Candidates should have a background in deep learning and experience in hands-on experiments with foundational models.

Oversee ML projects, manage a team, design LLMs, implement AWS solutions, and ensure best practices in ML lifecycle and team development.

As a Middle/Senior ML Engineer, you will create and improve ML models, collaborate with teams, maintain production models, and document processes.

As a Senior AI/ML Engineer, you'll create and improve ML models, collaborate with teams, and maintain experimentation pipelines for optimal performance.

Design and implement document intelligence pipelines; develop ML models; optimize data processing systems; establish evaluation frameworks; collaborate with experts.

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

As a Senior DevOps/ML Infrastructure Engineer, you'll manage infrastructure, support ML model integration, and build automated MLOps pipelines in a collaborative setting.

Develop and maintain ML models, improve data flow, troubleshoot issues, and document outcomes. Collaborate in an agile international team.

Lead the development of scalable Python applications and chatbot solutions leveraging generative AI, guiding a team and optimizing performance.

As an ML Engineer, you will develop ML models, collaborate with teams, maintain model performance, and drive innovation in ML technologies.

As a Senior Machine Learning Engineer, you'll lead ML initiatives, design and deploy ML services, and improve workflows while collaborating with diverse teams, impacting healthcare solutions.

Design and implement ML solutions focusing on personalization systems, MLOps automation, and performance optimization for workplace environments.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.

As a Machine Learning Engineer at Tenstorrent, you'll optimize AI models for custom devices, analyze performance, and collaborate with teams.

As a Founding AI/ML Research Engineer, you'll shape AI models, build training pipelines, and design scalable systems for a consumer AI application. This role emphasizes ownership and technical influence on product and architecture.

Lead the technical direction of A1 by shaping model selection, training strategies, and infrastructure, while creating impactful consumer AI applications.