Top Machine Learning Jobs in Warsaw

Develop and scale neural networks for source code tasks, create and improve methods for code generation, editing, and agent-based workflows, mentor colleagues, and produce publishable ML research results.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

The Machine Learning Engineer II will develop and optimize ML models, process large datasets, and integrate ML solutions while collaborating with peers and staying up to date on technologies.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The Software Developer Intern will design, implement, and support AI and software solutions while learning from experienced mentors in the Telecom field.

As a Senior AI/ML Engineer, you will design ML solutions, create datasets, architecture improvements for AI agents, and contribute to MLOps practices.

The ML Ops Engineer will build and operate scalable ML inference platforms, focusing on model serving infrastructure and deployment pipelines for AI applications.

This role requires designing, developing, and maintaining scalable AI systems, integrating AI orchestration frameworks, and collaborating with cross-functional teams.

As a Senior Machine Learning Engineer, you will design and deploy AI models, work on data pipelines, and enhance AI-driven retail solutions through collaboration with various teams.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

Join Snowflake's AI R&D team as a Software Engineering Intern, contributing to AI-powered products and collaborating on innovative projects. Gain experience in ML frameworks, distributed systems, and software development best practices.

The Senior Administrative Business Partner will manage high-level scheduling, project coordination, and logistics while optimizing operational workflows and maintaining stakeholder relationships.

Lead the design and development of low-latency machine learning inference services, ensuring high availability and scalability, while collaborating with data scientists and cross-functional teams.

As a Senior Machine Learning Engineer, you'll develop and deploy AI solutions, optimizing systems for consumer satisfaction and driving data transformation across Levi's operations.

The Senior ML Platform Engineer will design and optimize components of the ML Platform, enhance the Feature Store, and manage AWS and Kubernetes infrastructure while supporting internal users and promoting software best practices.

Develop and enhance AI-driven solutions using machine learning models integrated within Palantir Foundry. Collaborate with teams to ensure data quality and model performance.

Develop and maintain ML models, improve data flow, troubleshoot data issues, optimize systems, and document technical specifications in an agile environment.

The role involves building scalable ML models, mentoring engineers, translating business requirements into specs, and ensuring solutions meet performance constraints.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Design and scale predictive ML systems for VIS.X, taking end-to-end ownership of various high-impact ML initiatives and shaping the ML architecture.

Lead and architect Nearmap's ML platform, guiding the team in developing robust systems and implementing best practices for MLOps and AIOps.

The Senior Machine Learning Engineer will execute software engineering tasks for machine learning operations, design MLOps systems, mentor team members, and ensure reliable ML systems using modern technologies.

As a Summer Trainee, you will gain hands-on experience in machine learning, engage in software development for AI solutions, and work with experts at Nokia.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.