Senior Machine Learning Engineer, AI Platform
New
M
MozillaTechnology, AI
Remote CanadaFull-TimeSenior
Salary116,000 - 171,000 CAD per year
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Job Details
- Experience
- 4–6 years of relevant industry experience
- Required Skills
- DockerPythonKubernetesMachine LearningCI/CDDistributed Systems
Requirements
- Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience, or equivalent.
- Strong experience developing in Python for machine learning systems, backend services, or distributed data processing.
- Proven experience deploying and operating ML workloads in cloud environments.
- Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs.
- Hands-on experience working with GPU-based workloads and accelerated computing in production settings.
- Experience designing CI/CD pipelines and development workflows.
- Ability to independently scope and drive technical initiatives.
- Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems.
- Clear and effective communication skills.
Responsibilities
- Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments.
- Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence.
- Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads.
- Design and manage GPU-based inference and training workloads.
- Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation.
- Implement and evolve observability practices to improve visibility and operational resilience.
- Partner closely with product, infrastructure, security, and data teams.
- Contribute to technical design discussions and mentor junior engineers.
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