Senior ML Infrastructure Engineer On-site Unlimited Vacation

Claryo; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive benefits package

Top-tier medical, dental, and vision

401k with employer matching

Parental leave

Unlimited vacation

Job summary

Claryo is seeking a Senior Software Engineer - ML Infrastructure to own end-to-end ML vision model lifecycles, from training pipelines to optimized cloud deployment. You will build scalable GPU compute clusters and robust orchestration to support real-time perception and autonomous decision-making in our AI-powered warehouse platform.

You’ll collaborate with research scientists and CV engineers to bridge experimentation and production-ready systems across SF-office infrastructure, ensuring

Qualifications

• 5+ years of professional software engineering experience.
• 3+ years in machine learning—deploying large-scale ML systems.
• B.S./M.S. in Computer Science, Robotics, or similar technical field.
• Experience deploying machine learning models in production (vision).
• Strong programming skills in Python.

Responsibilities

• Build end-to-end ML pipelines from data ingestion through model training, evaluation, and deployment.
• Train, evaluate, deploy and optimize state-of-the-art ML models in the cloud using platforms and inference optimization techniques.
• Establish monitoring, benchmarking, and evaluation frameworks to ensure model performance and reliability in production environments.
• Collaborate with research scientists, CV engineers, and product teams to bridge experiments and production-ready systems.

Skills

Python

C++

CUDA

GPU acceleration

Distributed systems

Education

B.S./M.S. in Computer Science, Robotics, or similar technical field

Tools

PyTorch

TensorFlow

DeepSpeed

Ray

TorchServe

NVIDIA Triton Inference Server

TensorRT

Job description

Claryo is seeking a Senior Software Engineer - ML Infrastructure to own end-to-end ML vision model lifecycles, from training pipelines to optimized cloud deployment. You will build scalable GPU compute clusters and robust orchestration to support real-time perception and autonomous decision-making in our AI-powered warehouse platform.

You’ll collaborate with research scientists and CV engineers to bridge experimentation and production-ready systems across SF-office infrastructure, ensuring