Luminary ยท 3 months ago
ML Ops Engineer
San Mateo, CA
Full-time
Onsite
Senior Level
5+ years expLuminary Cloud is a Series B startup transforming how innovative companies generate CFD simulation data for Physics AI. The MLOps Engineer will build and maintain MLOps infrastructure, design automated training pipelines, and deploy machine learning models while ensuring performance and reliability.
Hospitality
Responsibilities
Build and maintain robust MLOps infrastructure enabling ML engineers and data scientists to train, track, and deploy models seamlessly without managing low-level Kubernetes infrastructure
Design and implement automated training pipelines and experiment tracking systems using modern MLOps frameworks including Kubeflow, MLflow, and Argo Workflows
Develop scalable data pipelines for large volumes of unstructured data, with particular focus on 3D geometric data using VTK and physics simulation outputs
Deploy machine learning models and set up production inference pipelines with focus on performance and reliability
Manage model registries and integrate them with automated workflows for seamless model lifecycle management
Implement comprehensive monitoring systems for continuous performance tracking of ML models in production environments
Collaborate with cross-functional teams to ensure MLOps infrastructure meets the evolving needs of physics-based AI applications
Write production-level code with velocity, maintaining high standards for performance and scalability
Optimize cloud infrastructure on Google Cloud Platform, leveraging Docker, Kubernetes, and Vertex AI for efficient resource utilization
Qualification
Required
Bachelor's degree or higher in Computer Science, Data Science, Statistics, Applied Mathematics, or related fields
5+ years of industry experience in machine learning operations (MLOps), including model development, deployment, monitoring, and scaling ML systems in production environments
Proficiency in Python with demonstrated experience writing production-level code. Familiarity with BASH and SQL required
Solid experience with Google Cloud Platform (GCP), Docker, Kubernetes, and Vertex AI for cloud-based ML infrastructure
Hands-on experience with modern MLOps frameworks including Kubeflow, MLflow, and Argo Workflows
Strong experience building scalable data pipelines, particularly with large volumes of unstructured data and familiarity with VTK for 3D geometric data
Proven ability to independently deploy ML models and set up inference pipelines with monitoring capabilities
Experience managing model registries and integrating them with automated workflows
Strong problem-solving skills and ability to troubleshoot complex distributed systems
Preferred
Heavy interest in simulation technology and/or High-Performance Computing (HPC) with some exposure preferred
Understanding of how ML applies to physics simulations and scientific computing is valuable
Demonstrated experience building and maintaining MLOps infrastructure at scale, with focus on reliability and performance in production environments
Hands-on approach with ability to write code with velocity while maintaining high quality standards
Experience with additional programming languages such as Go and C++ is a plus
Curious and quick learner who thrives in a fast-paced environment
Clear communicator with a collaborative approach to working with diverse technical teams
Enthusiastic about being in-office 5 days a week, contributing to our hands-on, collaborative engineering culture
Passionate about building systems that enable other engineers and scientists to be more productive with an understanding that great infrastructure should be invisible to end users
Company
Luminary
Luminary Travel creates bespoke, personalized travel experiences that reflect our clients' aspirations, desires, and values.
2-10 employees
H1B Sponsorship
Luminary has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Early StageLeadership Team
Eric Grayson
Founder and CEO
Jason Kringstein
Partner, Board Member
Company data provided by crunchbase