Domino Data Lab
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
Analytics • Machine Learning • Data Analysis • Predictive Analytics • Data Science
Staff Software Engineer - Model Development Lifecycle
November 21, 2024
🇺🇸 United States – Remote
💵 $200k - $235k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Domino Data Lab
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
Analytics • Machine Learning • Data Analysis • Predictive Analytics • Data Science
📋 Description
• Collaborate with customers to design solutions for deploying models to platforms like AWS SageMaker and Azure ML • Introduce a “Data Science Catalog” for discovering and summarizing global data science resources within Domino • Integrate model monitoring to provide a holistic view of deployment health and performance • Enhance tagging capabilities across Domino entities to improve discoverability and tracking • Expand LLM hosting capabilities to address customer needs for scale, performance, and logging
🎯 Requirements
• 8+ years previously in a software engineering individual contributor role • Hands-on experience developing and managing high-performance back-end systems in distributed computing environments • Working closely with cross-functional teams to integrate systems with front-end interfaces and third-party services • Designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC) • Profiling and optimizing back-end performance, especially in cloud environments or with container technologies like Docker and Kubernetes • Using robust testing frameworks (unit, integration, end-to-end) and setting up CI/CD pipelines • Familiarity with model registries, versioning, and lifecycle management tools like MLflow or KubeFlow is a big plus • Experience with frameworks like Apache Spark, Azure ML, or SageMaker is a plus • Proficiency with cloud providers (AWS, Azure, GCP) and deploying services in these environments
🏖️ Benefits
• equity • company bonus or sales commissions/bonuses • 401(k) plan • medical, dental, and vision benefits • wellness stipends
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