2 дня назад
Principal Software Engineer (AI/ML Architect)
163 900 - 235 550$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer (AI/ML Architect) (Generative AI): Defining the architecture, strategy, and production deployment of large-scale generative AI applications across a workforce operating platform with an accent on transformer models, large language models, MLOps, and scalable cloud systems. Focus on architecting production-ready AI/ML systems, optimizing models for performance and cost, and establishing responsible AI, CI/CD, and governance standards.
Location: Seattle, WA, United States
Salary: $163,900–$235,550 USD annually; Seattle-specific pay range may apply. Additional performance-based bonus and restricted stock unit awards may be available.
Company
provides a workforce operating platform using workforce insights and people-first AI to help organizations improve productivity, trust, and talent management.
What you will do
- Define and drive the generative AI architecture strategy across ’s product suite.
- Provide hands-on technical leadership in transformer models, diffusion models, GANs, large language models, and multimodal architectures.
- Collaborate with executive leadership, product management, data science, and engineering teams to prioritize and deliver GenAI initiatives.
- Lead advanced generative AI research and integrate state-of-the-art techniques into products.
- Oversee the deployment and optimization of large-scale AI models for production performance, cost, and resource efficiency.
- Establish AI/ML development, MLOps, CI/CD, quality assurance, governance, and architectural standards while mentoring senior engineering leaders.
Requirements
- MS or PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.
- 12+ years of software development and AI experience, including at least 5 years of hands-on generative AI, NLP, or related experience.
- Proven experience architecting and deploying large-scale AI/ML systems in production.
- Expertise in Python or Java and AI frameworks such as TensorFlow and PyTorch.
- Strong understanding of AWS, Google Cloud, Azure, and MLOps practices for large-scale model training and deployment.
- Recognized AI thought leadership, including publications in leading conferences or journals and the ability to influence long-term AI strategy.
Nice to have
- Experience with high-compliance environments, privacy-preserving AI, responsible AI, model interpretability, and ethical AI.
- Experience optimizing models through compression, distillation, and efficient deployment strategies.
- Knowledge of cloud-native architectures, Kubernetes, Terraform, and GitHub Actions.
Culture & Benefits
- Benefits and flexibility are provided through ’s employee rewards program.
- Performance-based bonus eligibility and restricted stock unit awards may be included in total compensation.
- Equal opportunity and an inclusive work environment are emphasized.
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