Member of Technical Staff 2 - AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid, with at least 3 onsite days per week in applicable workplaces, including Vancouver, San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney, and Tokyo.
Salary: CAD $103,000–$155,000 annually, with potential additional compensation including a sign-on bonus, RSUs, and discretionary awards.
Company
develops cloud platforms and infrastructure software, including AI-ready systems for building, fine-tuning, and running machine learning models.
What you will do
- Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.
- Improve system performance for low-latency and high-throughput use cases, including low-level stack optimization.
- Design scalable observability architectures for collecting, analyzing, and reporting platform metrics.
- Build and maintain cloud-native services, CI/CD workflows, and open-source integrations.
- Contribute across technical design, development, testing, experimentation, analysis, and product launches.
- Collaborate with product management and backend engineering teams through code reviews, design reviews, documentation, and technology selection.
Requirements
- 2–5 years of experience developing maintainable, modular, resilient code in a product development company.
- Strong programming fundamentals, data structures, algorithms, and experience with Go and Python.
- Strong experience with Docker, Kubernetes, cloud-native technologies, and CI/CD pipelines.
- Understanding of datacenter design, distributed computing and storage, virtualization, operating system internals, networking, and performance monitoring.
- Experience designing and tuning high-performance system software and working with on-premises, cloud, and hybrid deployment architectures.
- Bachelor’s or master’s degree in Computer Science, or equivalent work experience.
Nice to have
- Familiarity with machine learning concepts and frameworks such as TensorFlow or PyTorch.
- Experience with hardware accelerators such as GPUs.
- Open-source contributions or experience working with large codebases.
- Experience building multi-tenant services on virtualized infrastructure.
Culture & Benefits
- Hybrid work combining remote flexibility with in-person collaboration.
- RRSP matching in Canada up to 7% of base salary, plus equity and an employee stock purchase plan.
- Mental health coverage, paramedical benefits, paid maternity and parental leave, and bereavement leave.
- Company holidays, sick days, wellness days, and vacation starting at 10 days.
- does not provide work permit or permanent residence sponsorship.
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