обновлено 7 дней назад
Staff/Principal AI Engineer
228 000 - 288 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff/Principal AI Engineer (AI Engineering): Leading the technical AI strategy and execution for a legal discovery platform with an accent on applying LLMs to large-scale, complex litigation data. Focus on designing AI architectures at scale, mentoring the engineering team, and collaborating with cross-functional leaders to drive innovation in the legal tech domain.
Location: Oakland, California, United States; hybrid schedule with three days per week in the office
Salary: $228,000–$288,000 per year
Company
develops AI-powered legal discovery and litigation technology designed to illuminate truth and promote justice.
What you will do
- Lead the design and implementation of the technical AI strategy, including approaches for frontier models and AI applications at trillion-token scale.
- Guide AI engineers across the organization through technical leadership, design reviews, code reviews, talks, and research study groups.
- Collaborate with software engineers, security engineers, data scientists, product leads, designers, and other cross-functional teams.
- Identify opportunities to apply advances in machine learning and AI to legal technology and influence product and engineering direction.
- Work with staff and principal engineers specializing in databases, storage, search, cloud infrastructure, SaaS architecture, data science, and performance.
Requirements
- At least 6 years of experience in machine learning or AI and 8 or more years of overall software engineering experience.
- Experience leading significant AI projects, including production applications of large language models and NLP or text analysis.
- Programming experience in at least one scripting language, such as Python.
- Ability to stay current with AI developments and translate them into practical applications.
- Ability to collaborate across teams, discuss technical details with AI engineers, and explain complex concepts clearly.
- Ability to work onsite in Oakland three days per week.
Nice to have
- Experience with retrieval-based language models or hybrid RAG approaches for large custom datasets.
- Experience designing knowledge storage and representation, including vector and graph databases.
- Experience with multimodal AI, including image, audio, or video processing.
- Experience building AI agents with supervision, backtracking, exception handling, tool use, or MCP.
- Previous experience with SaaS and distributed systems.
Culture & Benefits
- Open, collaborative environment focused on professional growth and continuous learning.
- Annual learning and development stipend and support for professional memberships.
- Equity program, 401(k) with company matching, health, dental, and vision coverage.
- Flexible Spending Accounts, paid parental leave, sick leave, paid vacation, and federal holidays.
- Mental health membership, life and disability insurance, volunteer time, and company-sponsored events.
- Downtown Oakland office near BART, with a Linux laptop and customizable desk setup.
Hiring process
- Onboarding includes sessions covering the product, policies, processes, team structure, and goals.
- Remote and live interviews and assessments must be completed independently without AI assistance unless explicitly stated otherwise.
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