11 дней назад
Staff Software Engineer (AI)
132 000 - 264 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI): Building scalable platform capabilities spanning infrastructure, tooling, ML frameworks, and AI-driven applications with an accent on cloud-native architecture, real-time data processing, and system reliability. Focus on leading the full software lifecycle, conducting system design reviews, integrating machine learning components, and mentoring engineers across technical initiatives.
Location: Bellevue Skyline Office, Bellevue, Washington, United States
Annual salary: $132,000–$264,000 in Bellevue, Washington; $143,000–$286,000 in Sunnyvale, California. Additional performance bonuses and possible stock compensation.
Company
Develops platform capabilities and AI-enhanced applications supporting large-scale digital products and millions of users.
What you will do
- Deliver scalable infrastructure, tooling, and machine learning frameworks aligned with roadmap milestones.
- Apply cloud-native architecture principles to build resilient and maintainable systems.
- Lead the full software lifecycle, including coding, testing, deployment, monitoring, and maintenance.
- Conduct system design reviews and validate architectural decisions.
- Build AI-driven applications and integrate machine learning components using multiple programming languages.
- Mentor engineers, influence technical decisions, and collaborate with stakeholders on requirements and success metrics.
Requirements
- At least 4 years of software engineering experience with a relevant bachelor's degree, or 6 years of software engineering experience.
- Experience with cloud-native architecture, microservices, containers, and automation.
- Knowledge of API design, software prototyping, and software design patterns.
- Experience with full-lifecycle software development and system design reviews.
- Proficiency in Python, Java, and TypeScript for integrating AI and machine learning components.
- Strong collaboration, communication, mentoring, and data-driven decision-making skills.
Nice to have
- Master’s degree in computer science, computer engineering, software engineering, or a related field.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Full-time employment with medical, vision, and dental coverage.
- 401(k), stock purchase opportunities, company-paid life insurance, and performance-based bonuses.
- Paid time off, sick leave, parental leave, family care leave, and other leave programs.
- Disability coverage, company discounts, military leave pay, and adoption and surrogacy reimbursement.
- Paid education benefits covering tuition, books, and fees for eligible programs.
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