9 дней назад
Senior AI Scientist
180 000 - 243 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Scientist (AI/ML): Building and evaluating AI solutions for fraud prevention, security, customer care, and smarter financial products with an accent on agentic systems, NLP, causal ML, and deep learning. Focus on designing evaluation frameworks for non-deterministic workflows, optimizing latency, cost, and quality, and validating impact through experiments and A/B tests.
Location: Mountain View, California, or San Diego, California
Salary: $180,000–$243,500 in Mountain View or $165,500–$223,500 in San Diego, plus potential bonus, equity, and benefits.
Company
is a financial technology platform developing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Build and evaluate AI solutions for fraud prevention, security, customer care, and other financial technology products.
- Select AI approaches, assess trade-offs, and identify hallucination, bias, drift, and other failure modes.
- Curate task-specific datasets, define baseline metrics, and design AI features balancing latency, cost, and quality.
- Build evaluation frameworks for multi-agent and other non-deterministic workflows, including experiment orchestration and simulation-based validation.
- Run A/B tests, measure adoption and customer impact, and drive post-launch iteration.
- Partner with product managers, engineers, designers, and business leaders to shape priorities and deliver major features.
Requirements
- BS, MS, or PhD in Statistics, Mathematics, Computer Science, Applied Mathematics, Operations Research, or a related field.
- 5+ years of industry experience in AI science.
- Hands-on expertise in causal, supervised, unsupervised, online, Bayesian, reinforcement, and deep learning.
- Proficiency in NLP, explainable AI, and common machine learning frameworks.
- Expertise in Python, Scala, Java, and/or R; efficient SQL, Hive, or SparkSQL skills; and comfort working in Linux.
- Strong communication skills for technical and non-technical audiences.
Culture & Benefits
- Work alongside product, design, engineering, and cross-functional partners.
- Contribute reusable AI practices and team standards for agent-driven work.
- Competitive compensation with performance-based rewards.
- Potential eligibility for cash bonus, equity rewards, and employee benefits.
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