Top Software Engineer Jobs in Izmir

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

The Support Software Engineer is responsible for designing, building, and maintaining billing and invoicing systems, transitioning from support to software engineering roles, troubleshooting issues, and collaborating with stakeholders.

The Support Software Engineer will design, build, and maintain critical billing systems, troubleshoot discrepancies, and automate processes while collaborating with business stakeholders.

Design, develop, and maintain backend services in Rust. Migrate features from other languages, ensuring performance and reliability. Collaborate with teams and contribute to coding standards.

As a Software Engineer, you will build and develop the Mindly product, focusing on user needs, implementing reliable code, and collaborating with cross-functional teams.

The role involves designing and implementing features, debugging, maintaining documentation, and collaborating with the community in the Mir graphics stack.

Design, build, and maintain scalable features for an AI workspace platform, ensuring quality and performance while collaborating across teams.

As a Software Engineer II, you will develop new features, mentor junior engineers, and collaborate in design and code reviews in a fast-paced fintech environment.

As a Software Engineer, you'll enhance billing and invoicing systems, lead feature implementation, engage with stakeholders, and mentor junior engineers.

As a Software Engineer in Business Systems, you will design, implement, and improve billing systems, engage stakeholders to solve challenges, and mentor junior engineers.

This role involves developing Python software for High Performance Computing (HPC) environments, collaborating with global teams, and delivering HPC solutions.

The Staff/Lead Engineer role involves maintaining and enhancing video generation infrastructure, building monitoring tools, and ensuring scalable solutions while evaluating commercial impacts and guiding team direction.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

Develop and maintain scalable software solutions primarily using Ruby and Go, ensuring high coding standards and effective collaboration with teams.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.