Staff+ Software Engineer, ML Inference Path

San Francisco, CA · full time · Staff

$320,000 – $485,000

Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role builds the production infrastructure that deploys machine learning safety systems at scale across Claude's platforms, working at the intersection of ML engineering, distributed systems, and AI safety to operationalize research into production classifiers and defenses.

Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

Proficiency in Python
Experience with ML frameworks (PyTorch, TensorFlow, or JAX)
Understanding of distributed systems and high-throughput, low-latency workloads
Built automated deployment pipelines for ML models
Results-oriented with focus on reliability in safety-critical systems
Ability to collaborate with researchers and translate research into production

Nice to have

5+ years building production ML infrastructure in safety-critical domains
Experience with large language models and transformer architectures
Developed monitoring and alerting for ML model performance and data drift
Background in trust & safety, fraud prevention, or content moderation
Knowledge of privacy-preserving ML and compliance requirements