Dialpad
Software Engineer, ML Inference Platform
Kitchener, Canada
Sponsorship not specified$111k-$134kDetected 20 hours ago
RailsDistributed SystemsCloud PlatformsPlatform EngineeringMachine LearningAgentic AIMLOpsA/B TestingResearchCommunication
About the role
- Strong candidates may come from different technical backgrounds.
- Some will be strongest in productionization and platform systems.
- Some will lean toward runtime and serving.
Responsibilities
- You will help design, build, and improve the systems that connect AI capability development to production reality.
- Building or improving deployment and release pathways for AI-backed services.
- Building or automating evaluation systems that make release decisions evidence-based.
Requirements
- reducing the time and friction required to get in-house AI capabilities into reliable and scalable production, while preserving operational discipline and truthful quality judgment.
- 2 to 6 years of professional software engineering experience, with a proven track record of shipping production infrastructure or real systems that matter.
- Experience in writing solid, maintainable production code and applying strong software engineering fundamentals to solve complex debugging challenges.
Nice to have
- 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.
- The range displayed on each job posting reflects the target range for new hire salaries for the position.
- $111,000 - $133,500 CAD
- Why Join Dialpad
Skills
- Bachelor's degree in Computer Science, Engineering, or equivalent related experience.
- Experience in operating within ambiguous, cross-functional environments where requirements evolve and interfaces are real.
- About Dialpad
- Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital.
- Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve.
- Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.
- Being a Dialer
- At Dialpad, AI isn't just a feature; it's how our teams do their best work every day.
Compensation
- For exceptional talent based in Ontario, Canada the target base salary range for this position is posted below.
Company info
- The work is highly consequential, highly practical, and closely tied to the company's broader AI strategy.
- We are not building one-off demos or isolated launches.
- What will not vary is the mission: your work should make the broader AI Platform organization faster, safer, and more effective at turning in-house AI capability into production reality.
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This listing is sourced directly from Dialpad's careers page and normalized into a canonical job model.