Staff Software Engineer - Model Development Lifecycle

5 hours ago

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Domino Data Lab

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Analytics • Machine Learning • Data Analysis • Predictive Analytics • Data Science

201 - 500

💰 Series F on 2022-06

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