5 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Senior Staff Machine Learning Engineer (AI)
150Β 000 - 300Β 000$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Staff Machine Learning Engineer (AI): Building and architecting high-performance, multi-system AI/ML platforms that power GenAI virtual-agent workflows for claims, service, and sales operations with an accent on platform architecture, scalability, and conversational AI. Focus on designing knowledge, search, prompt-management, workflow-orchestration, and action-execution systems; integrating LLMs; and leading enterprise-wide technical improvements.
Location: Palo Alto, California, United States
Annual salary: $150,000β$300,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Design, architect, and develop interconnected, scalable platform components for end-to-end GenAI agentic workflows.
- Build capabilities for knowledge curation and management, search, prompt management, workflow orchestration, action execution, and semantic knowledge graphs.
- Evaluate technologies, tools, and frameworks while balancing build-versus-buy decisions, delivery speed, and extensibility.
- Collaborate with data scientists, ML engineers, software engineers, product managers, and designers to define requirements, scope, backlogs, and technical roadmaps.
- Lead platform implementation, resolve complex software issues, and drive architectural improvements for performance and reliability.
- Mentor engineers and junior technical leads and promote enterprise-wide AI engineering practices.
Requirements
- Bachelorβs degree or higher in Computer Science, Engineering, Statistics, or a related field.
- 10+ years of professional software development experience with at least two general-purpose programming languages, including Java, C++, Python, or C#.
- 10+ years of experience architecting and building multi-component AI/ML platforms using technologies such as search engines, data warehouses, streaming platforms, databases, distributed processing, and workflow management systems.
- 6+ years managing the end-to-end software development lifecycle, including CI/CD, Kubernetes, testing, monitoring, alerting, and production support.
- 6+ years of experience with cloud providers such as Azure and AWS.
- 3+ years using or fine-tuning LLMs such as GPT, Llama, Mistral, or Claude to build conversational experiences or agentic workflows.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive compensation, benefits, and flexibility supporting employee well-being.
- will consider sponsoring a new qualified applicant for employment authorization.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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