5 часов назад
Senior Machine Learning Engineer (Generative AI)
115 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Generative AI): Designing, developing, and deploying scalable AI systems such as knowledge assistants, conversational AI solutions, document and audio processing copilots, and voice agents with an accent on agentic workflows, production reliability, and business impact. Focus on building LLM training, inference, evaluation, and monitoring systems, integrating cloud and platform architecture, and solving complex cross-functional engineering problems.
Location: Palo Alto, California, United States
Annual salary: $115,000–$230,000
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 generative AI solutions using agentic workflows.
- Build knowledge assistants, conversational AI applications, document and audio processing copilots, voice agents, and robotic process automation solutions.
- Collaborate with data scientists, ML engineers, software engineers, product managers, and designers to define requirements, scope, priorities, and technical roadmaps.
- Integrate solutions with ’s AI platform architecture and contribute to platform development.
- Own project planning, stakeholder management, resource allocation, and timely delivery of solutions.
- Mentor junior engineers through code reviews and design sessions.
Requirements
- At least 5 years of experience designing and building scalable production AI/ML applications and systems in cloud environments.
- Proficiency in Python, Java, and similar general-purpose programming languages.
- At least 3 years managing end-to-end software development lifecycles for backend systems and APIs, including CI/CD, Kubernetes deployments, testing, monitoring, alerting, and production support.
- At least 2 years of experience training, fine-tuning, performing real-time and batch inference, and evaluating AI/ML models and LLMs.
- Bachelor’s degree or higher in Computer Science, Engineering, Statistics, or a related field.
- Strong communication and problem-solving skills in cross-functional and ambiguous environments.
Nice to have
- Experience working directly with internal or external stakeholders on AI/ML initiatives.
- Experience with AWS and Azure cloud solutions.
- Experience with LLM agent tooling, evaluation frameworks, RAG pipelines, and prompt engineering.
Culture & Benefits
- Inclusive and collaborative culture focused on shared success.
- Personalized development programs, mentorship, and certification assistance.
- Competitive compensation, benefits, and flexibility to support employee well-being.
- will consider sponsoring a new qualified applicant for employment authorization.
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