6 дней назад
Staff AI Scientist (AI)
209 500 - 283 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Scientist (AI): Applying AI science across a consumer financial technology organization by designing end-to-end model architectures, ML pipelines, and customer-facing solutions with an accent on NLP, optimization, explainable AI, and large-scale data processing. Focus on leading scrum teams, engineering scalable models, running A/B tests, translating model metrics into business outcomes, and mentoring AI Scientists.
Location: Mountain View, California, United States
Base pay: $209,500–$283,500 per year; the package may also include a cash bonus, equity rewards, and benefits.
Company
is a global financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Define success criteria with stakeholders and align model metrics with business goals.
- Lead scrum teams, design model solutions, and drive end-to-end architecture.
- Perform data analysis, ETL, and feature engineering on large datasets.
- Apply data mining, NLP, machine learning, classification, regression, deep learning, and recommender systems to customer-facing problems.
- Design and run A/B tests, communicate impact to leadership, and evaluate new ML techniques.
- Mentor AI Scientists and provide technical direction.
Requirements
- BS, MS, or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field.
- 4+ years of industry experience in AI Science, Machine Learning, or a related field.
- Strong experience with combinatorial, gradient-based, and Bayesian optimization, NLP, and Explainable AI.
- Proficiency in Python, Scala, Java, and/or R.
- Strong SQL, Hive, SparkSQL skills and comfort working in Linux environments.
- Experience building reusable, scalable, end-to-end ML pipelines, with strong communication and technical leadership skills.
Culture & Benefits
- Hands-on technical leadership with collaboration across product management, engineering, and design.
- Compensation includes performance-based rewards and may include a cash bonus, equity rewards, and benefits.
- Regular pay comparisons are conducted across ethnicity and gender categories to support fair pay.
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