Principal Machine Learning Engineer driving technical direction for core Snap products. Set vision and develop ML technology for millions of Snapchatters.
About the role
- Senior Machine Learning Engineer designing and building AI systems for Plaid’s financial products. Collaborating with a talented team to advance ML capabilities at scale.
Responsibilities
- Design, build, and scale advanced ML/AI systems that power Plaid products and applications.
- Develop reliable distributed training and serving systems.
- Improve ML operations at scale.
- Build AI-powered applications that enable new product experiences.
- Collaborate with team members and experiment with cutting-edge ML and AI techniques.
Requirements
- 5+ years of experience training, deploying, and scaling ML/AI models in production environments.
- Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring.
- Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models.
- Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams.
- Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact.
- Experience applying ML/AI in fintech or similarly regulated industries is a plus.
- Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes.
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k)
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