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. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride!
This is a remote position open to candidates based in Europe and the Eastern United States. If you’re located in or near Paris, France, we also have an office space available should you prefer to work on-site.
Join Docker's AI engineering team as a Senior AI Engineer to help shape the future of developer tooling through artificial intelligence. 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.
Advance AI Capabilities: Enhance Ask Gordon's ability to understand complex technical questions and provide accurate, actionable responses about Docker, containerization, and development workflows
RAG System Enhancement: Improve our Retrieval-Augmented Generation pipeline to better understand Docker documentation, code repositories, and technical knowledge sources
Evaluation & Testing: Design and implement robust evaluation frameworks to measure AI performance, accuracy, and user satisfaction
Model Development & Fine-tuning: Train, fine-tune, and optimize language models specifically for Docker's technical domain and use cases
Rapid Prototyping: Iterate quickly on new AI features and capabilities, moving from concept to production efficiently
Cross-functional Collaboration: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into Docker's developer experience
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, fine-tuning, 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)
Integrate into our dynamic AI engineering team building intelligent developer assistance
Deepen knowledge of Ask Gordon's architecture, Docker's AI platform, and our technical stack
Contribute to your first AI model improvements or RAG system enhancements with the help of your team
Understand our evaluation frameworks and begin analyzing AI performance metrics
Continue to enhance and optimize our AI models and systems
Improve our RAG pipeline and evaluation frameworks
Deepen your knowledge of Docker's ecosystem and developer workflows
Help other new team members onboard
Regularly interact with internal stakeholders and analyze user feedback
Lead significant AI capability improvements that directly impact millions of Docker users
Continue to help grow the team and develop more efficient AI development processes
Embrace data-driven tracking and reporting of how AI features increase developer productivity
Contribute to model fine-tuning and performance optimization across our AI platform
Grow your skills beyond AI modeling into enterprise-grade AI system architecture and deployment
Drive initiatives to expand Ask Gordon's capabilities for enterprise use cases
In collaboration with your manager, you will have a Career Development Plan that will outline your trajectory beyond your first year
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. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024.
Please see the independent bias audit report covering our use of Covey here.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
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
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
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
Due to the remote nature of this role, we are unable to provide visa sponsorship.
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Docker is the world's leading software container platform. Developers use Docker to eliminate "works on my machine" problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
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