Reducto
Machine Learning Infrastructure Tech Lead
San Francisco Office
Sponsorship not specifiedDetected 5 days ago
PythonNode.jsDistributed SystemsKubernetesMachine LearningPyTorchLLMsA/B TestingDesign SystemsMentoring
About the role
- The remaining 20% will focus on setting technical direction - identifying bottlenecks, planning our infrastructure roadmap, and helping the ML and Platform teams make strong architectural decisions.
- You'll work across the stack, from model-serving kernels and GPU utilization to distributed systems and Kubernetes.
- This is a fully in-person role at our San Francisco office.
Responsibilities
- Own the technical direction and roadmap for Reducto's ML infrastructure.
- Build and maintain our training and inference stack, balancing fast experimentation with high-performance production serving.
- Optimize model serving at every layer, including kernels, runtimes, batching, scheduling, and distributed inference.
- Design systems for reliable multi-node, multi-GPU training and inference.
- Develop benchmarks that identify bottlenecks and guide infrastructure investments.
- Build the tooling and abstractions that help ML engineers move quickly from experiments to production.
- Partner with ML and Platform engineers on architecture, capacity planning, and technical prioritization.
- Raise the engineering bar through design reviews, mentorship, and hands-on technical leadership.
Requirements
- Have 5+ years of experience building production infrastructure, including significant ML systems experience.
Benefits
- Unlimited PTO, because great work requires recharging.
- Commuter Reimbursement, we'll cover your transportation costs.
- Comprehensive Insurance, medical, dental, and vision.
- Health and Wellness Budget, up to $150 per month for wellness spending such as gym memberships or fitness classes.
- Parental Leave, flexible scheduling that works for you and your family.Working at Reducto
Equal opportunity
- Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace.
- All qualified applicants will receive consideration without regard to sex, race, color, age, national origin, religion, disability, sexual orientation, gender identity, veteran status, or any other protected category.
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