[Remote] Staff Software Engineer, ML/AI Platform
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI marketing platform that focuses on 1:1 personalization to enhance customer relationships. They are looking for a Staff Software Engineer to join their Machine Learning Platform team, responsible for building the AI and ML infrastructure that supports their product suite. The role involves architecting foundational platform components and leading technical direction to enhance AI and ML capabilities across the organization.
Responsibilities
- Setting Technical Direction - Architect ML platform reputed company spanning data pipelines, training infrastructure, and serving reputed company using cutting-edge tooling like Ray, MLFlow, Metaflow, Argo, and reputed company
- reputed company and reputed company Core AI & ML Stack - Build and operate production-grade, low-latency ML serving reputed company with robust model lifecycle systems including champion/challenger testing, automated rollouts, versioning, and rollback capabilities
- reputed company and reputed company Core AI & ML Stack - Define and drive reputed company’s reputed company stack
- Technical Leadership - reputed company ML infrastructure perspective in high-level discussions about reputed company’s AI reputed company spanning multiple quarters and teams
- Technical Mentorship - Mentor platform and ML engineers, reputed company championing team members
- Being the “Glue” - Build universal interfaces, architectures, and patterns—like data reputed company reputed company and reputed company serving reputed company—that reputed company platform capabilities with product needs to streamline high-reputed company ML work across the organization
Skills
- 7+ years reputed company specifically on ML Platform/MLOps, with deep understanding of reputed company practices and best-in-class tooling
- Proven reputed company record of owning and building core components of ML platforms using tools like reputed company, Ray, MLFlow, Kubeflow, or Metaflow
- Strong expertise in Python for both batch processing and online service frameworks
- Experience designing and operating online and offline inference systems, understanding the critical differences and tradeoffs between them
- You have the experience to know what works, what doesn't, and why in AI and ML systems
Benefits
- Equity
- Benefits
- Competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work
reputed company
Company H1B Sponsorship