Senior Software Engineer - ML Infrastructure
Plaid
5 months ago
San Francisco, CA, USA
Senior
H1B Sponsor
Responsibilities
- Design and implement large-scale ML infrastructure, including feature stores and pipelines.
- Drive the rollout of Plaid’s next-generation feature store.
- Help define and evangelize an ML Ops 'golden path' for model training and deployment.
- Ensure operational excellence of ML pipelines and services.
- Collaborate with ML product teams to deliver solutions that accelerate experimentation.
- Contribute to technical strategy and architecture discussions.
- Mentor and support other engineers through code reviews and design discussions.
Requirements
- 5+ years of industry experience as a software engineer focused on ML/AI infrastructure.
- Hands-on expertise in building and operating ML platforms.
- Proven experience delivering reliable and scalable infrastructure in production.
- Solid understanding of ML Ops concepts and tooling.
- Strong communication skills and ability to collaborate across teams.
- Experience with ML Ops tools such as MLFlow or SageMaker is a plus.
- Exposure to modern AI infrastructure environments is a plus.
- Background in scaling ML infrastructure in fast-paced environments is a plus.
Tech Stack
MLflow
Categories
AI & MLDevOps