Audio Inference Engineer, Model Efficiency
RemoteCA$250k - CA$460kFull-timePosted 11mo ago
About the role
Role focused on building reliable ML systems and optimizing audio inference serving efficiency, improving latency, throughput, and quality for real-time and streaming audio workloads. Collaborates with training and serving infrastructure teams to ensure seamless model deployment and integration.
Responsibilities
- Develop high-performance audio or ML inference systems.
- Drive improvements to core audio model serving metrics (latency, throughput, quality).
- Identify bottlenecks in systems and deliver solutions for audio processing and streaming workloads.
- Collaborate with training and serving infrastructure teams to ensure seamless integration between model development and deployment, with emphasis on real-time and streaming audio inference.
Qualifications
- Significant experience developing high-performance audio or machine learning inference systems.
- Proficiency with programming languages such as C++ and Python.
- Hands-on experience with deep learning models for audio, speech, or language applications.
- Bias for action and a strong results-oriented mindset.
Skills
Required:Audio/Machine Learning InferenceC++Python
Benefits
- A weekly lunch stipend of $75/£75 or equivalent in local currency.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months for either parent.
- Annual enrichment benefits (arts & culture, fitness/wellness, quality time, workspace improvement credit).
- Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days).
- Budget for traveling to other offices if remote, plus an annual company offsite.
- $500 home office stipend to set up workspace.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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