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About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.
About the Role:
We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality
Why Join Us
Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.
What does day-to-day look like:
Required Skills:
Nice to Have:
Offer Details:
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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Job ID: 148583647
Skills:
Git, Docker, Python, software pipeline setup
Skills:
data engineering , snowflake , Sql, Nlp, Python, GenAI, Snowflake Cortex AI, conversational AI, LLM integration, AI solutions on Snowflake, Analytics, model evaluation, Security, Snowpark, Statistics, Snowflake governance, semantic search
Skills:
Cloudformation, PostgreSQL, API design, Redis, Gcp, Docker, Terraform, Linux, Elasticsearch, Azure, Helm, Kubernetes, Python, AWS, Microservices architecture, Observability, Monitoring
Skills:
Tensorflow, Pytorch, Azure, Python, AWS, LangChain, Generative AI, Scikit-learn, Llm, RAG, OpenAI, Amazon Bedrock, Gemini
Skills:
Python, Sql, Data Analysis
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