Software Engineer Jobs in Arlington, TX

As a Software Engineer on the macOS team, you'll build and enhance Speechify's desktop app, focusing on performance, user experience, and scalability. You'll collaborate with cross-functional teams, lead engineering decisions, and ensure production-quality code is shipped efficiently.

The Senior iOS Engineer will lead key engineering decisions, ship production code for the Speechify iOS app, and maintain complex app architecture in a fast-paced work environment focused on enhancing user experience.

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.

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.

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

Train LLMs to produce production-grade code by comparing and ranking snippets, repairing and refactoring AI-generated code, and injecting reviewer feedback into the RLHF pipeline. Provide clear written justifications and spot logic, performance, and security issues while working remotely as a 1099 contractor.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

Seeking a BackEnd Software Engineer with 2+ years experience to develop solutions for government clients, focusing on full-stack applications and AI integration. Active Top Secret clearance required.

As a Software Development Engineer II, you will develop features across various applications, improve cloud implementation, automate pipelines, and enhance product quality through Agile practices.

Lead Software Development Engineer at GM Financial responsible for utilizing C# and Azure, leading software projects, optimizing systems, promoting Agile practices, and driving team collaboration and innovation.

The Software Development Engineer I will develop software solutions using C# or Java, participate in cloud migration, and enhance Agile practices within Scrum teams.

The Software Development Engineer III at GM Financial drives innovation by leveraging AI and cloud technologies, leading software development efforts, and mentoring team members while delivering high-quality product features.

The Lead Software Development Engineer leads software solution development for enterprise reusable services, focusing on microservices architecture, stakeholder collaboration, and technical decision-making.

Lead the software development team in creating high-performing cloud-native solutions using C# and Azure. Collaborate across teams, optimize data architecture, and implement Agile and DevOps practices to enhance product quality and team efficiency.

The SDE II develops software features, focuses on cloud migration, improves development pipelines, and ensures product quality in Agile Scrum teams.

Lead Software Development Engineer at GM Financial focuses on utilizing C# and Azure Cloud while guiding teams in Agile practices, promoting software quality, and optimizing development pipelines.

As a Software Development Engineer I, you will develop software using C# or Java, work in Agile teams, participate in cloud migration, and ensure high product quality through testing and peer reviews.