Software Engineer, ML Inference Platform

Experience with cloud infrastructure, containerized environments, managed ML platforms, or service orchestration systems.

Experience with model serving, deployment systems, experiment tracking, artifact/version management, or ML lifecycle tooling.

Experience with distributed systems, service platforms, search/relevance systems, internal enablement tooling, or production AI platforms.

Experience with testing, benchmarking, experimentation systems, or evaluation frameworks that informed release decisions.

Exposure to applied AI, speech, conversational systems, customer-facing workflows, or other production ML domains.

target

range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits.

$111,000

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We are hiring founding AI Systems Engineers to help build that machinery.

This role is for engineers who like consequential junctions: between training outputs and deployable artifacts, between runtime systems and safe release, between quality claims and evidence, and between ambitious AI plans and systems that can actually carry them.

This is not a research role, and it is not a generic support role.

It is an implementation-heavy, building-focused engineering role on a small team responsible for making in-house AI capabilities easier to package, evaluate, deploy, promote, operate, and improve.

Some will be strongest in productionization and platform systems.

Some will lean toward runtime and serving.

Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit

dialpad.com

to learn more.