Staff Software Engineer, IDSM

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada, +1 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇦🇷 Argentina – Remote

💵 $200k - $235k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Domino Data Lab

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

Artificial Intelligence • Enterprise • SaaS

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.

📋 Description

• Build software for developing, training, deploying, and managing machine learning models • Collaborate with customers to design model deployment solutions for AWS SageMaker and Azure ML • Introduce a Data Science Catalog for discovering and summarizing global data science resources • Integrate model monitoring for deployment health and performance visibility • Enhance tagging capabilities across Domino entities for discoverability and tracking • Expand LLM hosting capabilities for scale, performance, and logging • Develop platform capabilities for API integration, model registry, collaboration, discoverability, and scalable training resources

🎯 Requirements

• 8+ years in a software engineering individual contributor role • Extensive experience or knowledge designing, building, and deploying AI/ML models • Deep understanding of model development, training, optimization, and lifecycle management • Experience with advanced AI/ML tools, frameworks, and platforms • Experience developing and managing high-performance back-end systems in distributed computing environments • Experience integrating systems with front-end interfaces and third-party services • Experience designing and implementing secure, scalable APIs, including RESTful APIs and gRPC • Experience profiling and optimizing back-end performance in cloud environments or with Docker and Kubernetes • Experience with unit, integration, and end-to-end testing frameworks • Experience setting up CI/CD pipelines • Proficiency with AWS, Azure, and GCP • Apache Spark, Azure ML, or SageMaker experience is a plus

🏖️ Benefits

• Equity • Company bonus or sales commissions/bonuses • 401(k) plan • Medical, dental, and vision benefits • Wellness stipends • Teaching and learning environment • Diverse and inclusive workplace