Software Engineer
Wolt
TALLINN · EE
TALLINN · EE
Machine Learning Infra Engineer
Summary by AIEngineer.careers
Machine Learning Infra Engineer is a ML Infrastructure Engineer role (full-time). with Reducto. in SAN FRANCISCO, US. Compensation shown: $200K–$300K. Imported listing (source: jobs.a16z.com). Apply on the employer's site (jobs.a16z.com).
Imported listing (source: jobs.a16z.com) · Apply on jobs.a16z.com
SAN FRANCISCO · US
$200K–$300K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs.a16z.com
Reducto is hiring a Machine Learning Infra Engineer to build and scale the infrastructure powering model inference and training. The role focuses on distributed training systems and optimizing serving performance for production ML workloads.
Responsibilities
- Build ML infrastructure for inference and training
- Scale distributed training systems
- Optimize model serving performance
Requirements
- Experience building ML infrastructure
- Familiarity with distributed training
- Experience optimizing inference and serving performance
Tech Stack
Distributed TrainingInference OptimizationMachine LearningModel Serving
Reducto
San Francisco · US · 99+ employees
Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise scale. The company provides a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. Reducto powers the best AI teams ranging from startups to Fortune 10 companies across all industries, with SOC II and HIPAA compliance and zero data retention.
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