Senior AI Engineer

August 28

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Docker, Inc

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At Docker, we simplify the lives of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

51 - 200 employees

💰 $105M Series C on 2022-03

📋 Description

• At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. • We're building \"Ask Gordon\" an AI assistant that powers Docker Desktop and CLI, transforming how millions of developers interact with containerization technology. Our AI platform helps developers troubleshoot containers, optimize Dockerfiles, and navigate the Docker ecosystem with intelligent, contextual assistance. • You'll work alongside a team of seasoned engineers to take our successful AI product to the next level, expanding usage and Gordon’s deployment. This is a unique opportunity to apply cutting-edge AI techniques to real-world developer problems at massive scale. • We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. ...

🎯 Requirements

• AI/ML Expertise: 3+ years of hands-on experience with machine learning models, particularly large language models (LLMs) • RAG Systems: Practical experience building and optimizing Retrieval-Augmented Generation systems • Model Training & Fine-tuning: Proven experience training, finetuning, or adapting models for specific domains or use cases • Evaluation Frameworks: Experience designing and implementing AI evaluation methodologies and metrics • Programming Skills: Proficiency in Go (primary at Docker) and Python • AI Frameworks: Experience with LangChain/LangGraph or similar AI orchestration frameworks • Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on user feedback • Experience with containerization technologies (Docker, Kubernetes) or developer tooling (preferred) • Knowledge of vector databases and semantic search technologies (preferred) • Experience with AI safety, hallucination detection, and reliability techniques (preferred)

🏖️ Benefits

• Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days • Home office setup; we want you comfortable while you work • 16 weeks of paid Parental leave • Technology stipend equivalent to $100 net/month • PTO plan that encourages you to take time to do the things you enjoy • Quarterly, company-wide hackathons • Training stipend for conferences, courses and classes • Equity; we are a growing start-up and want all employees to have a share in the success of the company • Docker Swag • Medical benefits, retirement and holidays vary by country