9 дней назад
Staff Software Engineer (AI/ML)
143 000 - 286 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI/ML): Building scalable platform capabilities, including infrastructure, tooling, and machine learning frameworks, with an accent on cloud-native architecture, full lifecycle delivery, and developer productivity. Focus on designing resilient systems, integrating AI-driven applications, conducting architecture reviews, and mentoring engineers through complex technical decisions.
Location: Sunnyvale, California, United States; onsite home office
Salary: $143,000–$286,000 annually, plus performance-based bonuses and possible stock compensation.
Company
develops digital fulfillment and platform capabilities using cloud, AI, automation, and scalable software solutions.
What you will do
- Deliver platform capabilities covering infrastructure, tooling, and machine learning frameworks.
- Lead coding, testing, deployment, monitoring, and maintenance across the full software development lifecycle.
- Apply cloud-native architecture, microservices, containers, and automation to build scalable and resilient systems.
- Build AI-driven applications and integrate machine learning components to improve automation.
- Conduct system design reviews, debug systems, and drive data-informed engineering improvements.
- Mentor engineers, influence technical decisions, and collaborate with cross-functional stakeholders.
Requirements
- Bachelor’s degree in computer science, computer engineering, software engineering, or a related field plus 4 years of software engineering experience, or 6 years of relevant experience.
- Expertise in cloud-native architecture, microservices, containers, and automation.
- Strong knowledge of software design patterns, API design, platform development, CI/CD, and lifecycle maintenance.
- Experience integrating AI/ML components and developing intelligent automation with Java, Python, and Kafka.
- Experience with design reviews, debugging, data-driven decision-making, technical leadership, and mentoring.
- Effective communication and collaboration with cross-functional teams and stakeholders.
Nice to have
- Master’s degree in computer science, computer engineering, software engineering, or a related field with 2 years of relevant experience.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase options, company-paid life insurance, and disability benefits.
- Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
- Education benefits covering eligible tuition, books, and fees through Live Better U.
- Additional benefits include company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
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