5 дней назад
Software Engineer III - Visual AI Technology (AI)
192 047 - 211 914CAD
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Описание вакансии
Текст:
TL;DR
Software Engineer III - Visual AI Technology (AI): Building scalable microservices, APIs, ML infrastructure, and self-service environments that power generative visual content pipelines with an accent on machine learning, full-stack development, and platform scalability. Focus on serving large models, deploying containerized workloads in Kubernetes, integrating external APIs, and developing interactive React tools for digital artists.
Location: Toronto, Canada; hybrid work with office attendance three times per week and scheduled collaboration at the Boston office up to four times per year. Core hours are 9am–5pm EST.
Annual base salary: CAD 192,047–211,914, with potential additional equity, bonuses, commissions, and other compensation.
Company
operates an online home retail platform and develops technology for large-scale digital shopping and visual experiences.
What you will do
- Own technical decisions across multiple components of the Visual AI Technology codebase and systems.
- Design, build, deploy, and maintain scalable, resilient microservices that integrate external APIs and internal ML models.
- Develop core APIs, ML infrastructure, frameworks, and self-service environments for automated visual content pipelines.
- Containerize applications with Docker and manage Kubernetes services, pods, ConfigMaps, and secrets.
- Identify reusable patterns, improve multiple system components, and solve ambiguous engineering problems autonomously.
- Collaborate with product, design, analytics, and adjacent engineering teams to deliver measurable impact.
Requirements
- Strong understanding of machine learning fundamentals and experience with PyTorch, TensorFlow, or Scikit-learn.
- Experience with fine-tuning or serving large models, including LLMs or diffusion models, and using ML service APIs.
- Strong Python skills; familiarity with FastAPI or Flask is beneficial.
- Experience with cloud platforms, REST or GraphQL APIs, authentication, testing, CI/CD, and production observability.
- Experience with ML data preprocessing and structured and unstructured data such as images, text, and video.
- Experience with data storage technologies such as GCS, PostgreSQL, BigQuery, or MongoDB, plus React and frontend state management.
Nice to have
- Model optimization or quantization, ML lifecycle management, or GPU-enabled Kubernetes workloads.
- DevOps experience with Terraform, Helm, or ArgoCD.
- Experience with 3D content pipelines, architectural visualization, games, or VFX workflows.
- Experience building React interfaces for ML-powered tools with secure backend API and authentication integration.
Culture & Benefits
- Paid holidays, paid time off, and a supportive flexible work environment.
- Medical, dental, vision, HSA/FSA, life insurance, disability protection, and mental health support.
- 401(k) matching, tuition reimbursement, tax-advantaged accounts, and financial education.
- Parental leave, family planning, caregiver, surrogacy, and adoption support.
- Employee discounts, fitness memberships, volunteer opportunities, recognition programs, and pod outings.
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