5 часов назад
Staff ML Engineer (Generative AI)
190 000 - 234 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff ML Engineer (Generative AI): Building scalable machine learning systems and web applications for personalized text, image, audio, and video generation with an accent on model training, fine-tuning, inference, and safety. Focus on designing and operating Generative AI systems at significant scale, prototyping innovative solutions, and establishing data-driven product metrics.
Location: Hybrid role based at the Palo Alto HQ, with in-office collaboration 3 days per week
Base salary: $190,000–$234,000 per year, plus equity and benefits.
Company
builds AI-powered marketing orchestration technology that helps major brands create personalized campaigns and content.
What you will do
- Build machine learning models, systems, and web applications that deliver Generative AI capabilities to customers.
- Define the roadmap for generating personalized and brand-aligned text, image, audio, and video content.
- Own initiatives across technical design, specification, development, testing, and launch.
- Establish processes for training, fine-tuning, testing, and operating Generative AI models at scale.
- Investigate, prototype, and deliver innovative machine learning solutions.
- Define, track, and operationalize feature, product, and company-level metrics in collaboration with Product, Business, and Engineering teams.
Requirements
- 10+ years of experience designing, building, and scaling systems for training, testing, and running machine learning models.
- Master’s or PhD degree in Computer Science or a related field.
- Experience building and evolving large-scale ML training and inference systems for real-world applications.
- Demonstrated machine learning innovation through publications, projects, or comparable accomplishments.
- Proficiency in Python and C/C++ or equivalent, with the ability to create reusable and testable modules.
- Experience with AzureML, GCP Vertex, AWS SageMaker, or similar platforms.
Nice to have
- Hands-on experience deploying and tuning Generative AI models in the cloud or on local systems.
- Experience at a high-growth startup or technology company.
- Publications or research experience in machine learning venues and vision or language applications.
Culture & Benefits
- Salary, equity, 401(k), and comprehensive medical, dental, and vision insurance.
- HSA and FSA options, flexible time off, and parental leave.
- Well-being programs, daily lunch and snacks, and mentorship from AI leaders.
- Opportunity to work on products powered by Agentic AI for major enterprise brands.
- Collaborative environment with experienced colleagues from leading technology and AI companies.
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