5 дней назад
Principal Machine Learning Engineer (AI)
198 200 - 420 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Machine Learning Engineer (AI): Architecting and deploying large-scale machine learning systems, including LLM capabilities and infrastructure, with an accent on scalable model deployment, MLOps, governance, and AI application development. Focus on designing distributed ML architectures, optimizing performance and cost, building production-ready systems, and mentoring engineers across products.
Location: Palo Alto, United States; hybrid work pattern
Salary: USD 198,200–420,000 yearly
Company
SAP develops enterprise applications and business AI solutions for organizations across finance, procurement, HR, supply chain, and customer experience.
What you will do
- Architect and optimize large-scale ML systems, including LLM capabilities and infrastructure.
- Lead ML solution deployment at scale and ensure production readiness, performance, scalability, security, and governance.
- Design enterprise architectures and define architectural and operational standards across products.
- Bridge customer requirements and product capabilities by gathering requirements, clarifying ambiguity, and proposing solutions.
- Enable safe experimentation and adoption of modern ML techniques across teams.
- Mentor engineers and influence technical direction beyond the immediate team.
Requirements
- 10+ years of software engineering experience delivering complex systems.
- Bachelor’s degree in Computer Science, Mathematics, Physics, or a related field.
- Production experience with AI/ML, including large language models, retrieval-augmented generation, prompt engineering, vector search, agent workflows, and model evaluation.
- Expertise in distributed systems design and large-scale enterprise product architecture.
- Strong programming skills, proficiency with ML frameworks, and solid knowledge of MLOps practices.
- Excellent English communication skills and ability to collaborate in global, multicultural teams.
Culture & Benefits
- Flexible working models and a focus on inclusion, health, and well-being.
- Opportunities to influence global AI initiatives and mentor talent.
- Employee benefits and variable incentive opportunities may be available according to applicable plans and eligibility requirements.
- Accessibility accommodations are available for applicants with disabilities.
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