Senior ML Platform Engineer — Scale Research ML Infra

techire ai; San Francisco (CA); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

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Job summary

techire ai in the SF Bay Area is seeking a senior engineer to build the ML infrastructure that researchers rely on daily. You will craft scalable systems for training, evaluating and deploying advanced models, enabling secure and explainable agentic AI across industries.

You will work across distributed GPU training, data pipelines, model serving and CI/CD, collaborating with Research Scientists, Applied Scientists and ML Engineers to remove bottlenecks and accelerate innovation.

Qualifications

• Senior engineer with production ML infra experience.
• Experience building distributed ML platforms for research teams.
• Ability to scope improvements across training, evaluation and deployment.

Responsibilities

• Build infrastructure to train, evaluate and deploy ML models.
• Collaborate with Research Scientists, Applied Scientists and ML Engineers.
• Manage data pipelines, experiment tracking and model serving.
• Implement CI/CD, observability and tooling for ML workloads.

Skills

Distributed systems

ML infrastructure

Python

PyTorch

Kubernetes

Docker

AWS

Terraform

Research collaboration

Tools

MLflow

Weights&Biases

Triton

vLLM

Job description

techire ai in the SF Bay Area is seeking a senior engineer to build the ML infrastructure that researchers rely on daily. You will craft scalable systems for training, evaluating and deploying advanced models, enabling secure and explainable agentic AI across industries.

You will work across distributed GPU training, data pipelines, model serving and CI/CD, collaborating with Research Scientists, Applied Scientists and ML Engineers to remove bottlenecks and accelerate innovation.