Staff ML Production Engineer — Real-Time Delivery

Kindredventures; San Francisco (CA); On-site; USD 115,000 - 165,000; Full time

Job summary

Kindredventures is hiring software engineers to own the path from trained model to customer value, building production systems that deliver predictions in real time across cloud, VPC, on‑prem, and restricted networks. You will create the surfaces customers touch, from APIs to dashboards, and craft demos to turn frontier research into a product.

You should be a strong generalist with experience deploying ML systems in production, comfortable working with customers, and adept at containerization,

Qualifications

• Experience building and shipping production-grade software.
• Experience deploying ML systems in production.
• Ability to design APIs and frontend dashboards.
• Familiarity with cloud providers and IaC tools.

Responsibilities

• Build and operate production systems delivering real-time model predictions.
• Design the product surface: APIs, data delivery, dashboards.
• Handle packaging, security, observability, and upgrades in diverse environments.
• Create demos and prototypes for prospective customers.
• Work directly in customer environments when needed: on-site deployments.
• Develop tooling and playbooks to generalize solutions.

Skills

Generalist software engineering

Backend systems

APIs

Cloud infrastructure

Frontend frameworks

Customer demos

Tools

Docker

Kubernetes

Terraform

Job description

Kindredventures is hiring software engineers to own the path from trained model to customer value, building production systems that deliver predictions in real time across cloud, VPC, on‑prem, and restricted networks. You will create the surfaces customers touch, from APIs to dashboards, and craft demos to turn frontier research into a product.

You should be a strong generalist with experience deploying ML systems in production, comfortable working with customers, and adept at containerization,