10 часов назад
AI Researcher (AI)
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Researcher (AI/LLM): Building and operating production-grade large-language-model and agent-driven systems for a regulated financial services environment with an accent on applied research, evaluation, reliability, and measurable production impact. Focus on designing multi-step AI workflows, monitoring model quality, and optimizing latency, cost, safety, and performance under real-world constraints.
Location: Hybrid role based in San Francisco, CA, with regular in-office collaboration
Salary: $180,000–$250,000 per year, plus bonus or incentive opportunities.
Company
is a financial services company developing AI capabilities for investors, advisors, and employees.
What you will do
- Take AI research ideas from problem formulation through modeling, evaluation, deployment, and iteration.
- Design and operate large-language-model and agent-driven systems used across the enterprise.
- Build robust evaluation, monitoring, and reliability practices for long-running production AI systems.
- Improve model and system performance under latency, reliability, cost, regulatory, and safety constraints.
- Collaborate with platform engineering, product, and risk stakeholders to move complex AI solutions into production.
- Help shape AI standards and responsible deployment practices at scale.
Requirements
- Master’s degree or higher in Computer Science, Machine Learning, Mathematics, Physics, or a related field, or equivalent practical experience.
- 7+ years of experience building, deploying, and operating machine learning or AI systems in production using Python.
- Demonstrated experience delivering GenAI or LLM-powered applications actively used by clients or internal teams.
- Strong data analysis and experimentation skills with Python, SQL, and Pandas.
- Experience evaluating model quality, reliability, and trade-offs under real-world constraints.
- Experience working cross-functionally with engineering, product, and other stakeholders.
Nice to have
- Experience designing or operating agentic or orchestrated AI systems with tool-enabled or multi-step workflows.
- Experience with AI evaluation, monitoring, or reliability practices.
- Experience operating AI solutions in regulated, high-stakes, or risk-sensitive environments.
- Technical leadership or mentoring experience.
Culture & Benefits
- Hybrid work model balancing workplace flexibility with regular in-person collaboration.
- 401(k) with company match and employee stock purchase plan.
- Paid vacation, volunteering time, and a 28-day sabbatical after five years of service for eligible positions.
- Paid parental leave and family-building benefits.
- Tuition reimbursement and health, dental, and vision insurance.
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