2 дня назад
Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building generative AI products and infrastructure to accelerate model development with an accent on fullstack implementation and product instinct. Focus on optimizing backend systems for millions of users and integrating ML models into production environments.
Location: On-site in Toronto
Company
is a generative AI company building world-class design tools and proprietary media models to empower human creativity.
What you will do
- Build consumer-facing products that put generative AI directly into the hands of creators.
- Develop the infrastructure required to accelerate the development of generative media models.
- Work across the entire stack, from crafting user experiences to optimizing backend systems.
- Design APIs and data models that support evolving product needs and high-throughput applications.
- Iterate quickly based on real user feedback to ship incremental value in a fast-moving environment.
Requirements
- Must be based in or able to work on-site in Toronto.
- Experience building and shipping software with real user impact.
- Ability to work comfortably across both frontend and backend systems.
- Familiarity with cloud infrastructure and modern web technologies.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Nice to have
- Proficiency with Python and React.
- Experience with Kubernetes, Redis, GCP, Docker, and Terraform.
- Experience integrating ML models into production (inference, prompt engineering, fine-tuning).
- Track record of shipping consumer-facing AI products or features.
- Experience with real-time systems or high-throughput applications.
Culture & Benefits
- Competitive compensation and equity.
- Comprehensive health, vision, and dental coverage from day one.
- 4 weeks of vacation.
- RRSP/401(k) with employer match up to 4%.
- Daily in-office lunches and dinners at the Toronto HQ.
- Top-of-the-line tools and autonomy to explore and experiment with compute resources.
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