19 часов назад
Staff Machine Learning Engineer (Generative AI)
130 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (Generative AI): Building and deploying a virtual agent platform and scalable GenAI workflows for contact center operations with an accent on knowledge management, search, workflow orchestration, and LLM inference. Focus on designing high-performance AI/ML platform components, building GPU-powered training and evaluation systems, and leading engineers through complex reliability and scalability challenges.
Location: Palo Alto, California, United States
Annual salary: $130,000–$260,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Design, develop, and maintain high-performance, durable, and scalable AI/ML platform components.
- Build systems for knowledge management, search, prompt management, workflow orchestration, action execution, logging, tracing, and semantic knowledge graphs.
- Evaluate software technologies and frameworks while balancing build-versus-buy decisions, maintainability, delivery speed, and engineering quality.
- Collaborate with data scientists, ML engineers, software engineers, product managers, and designers to define requirements, scope, priorities, and technical roadmaps.
- Lead a small team of engineers, troubleshoot complex software issues, and ensure system performance and reliability.
- Mentor junior engineers through code reviews and design sessions.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, Statistics, or a related field.
- 6+ years of professional software development experience with at least two general-purpose programming languages, including Java, C++, Python, or C#.
- 6+ years of experience designing and building AI/ML systems using search, data warehousing, streaming, databases, distributed processing, and workflow management technologies.
- 4+ years managing the end-to-end software development lifecycle, including version control, CI/CD, Kubernetes, testing, monitoring, alerting, and production support.
- 4+ years building training, fine-tuning, real-time and batch inference, and evaluation systems for AI/ML models and LLMs, especially with GPU-powered infrastructure.
- 2+ years using or fine-tuning LLMs such as GPT, Llama, Mistral, or Claude for conversational experiences or agentic workflows.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring a new qualified applicant for employment authorization.
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