10 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/Machine Learning): Building and deploying machine learning models that improve relevance, personalization, anti-fraud, security, and customer care with an accent on deep learning, data mining, NLP, and statistical modeling. Focus on preparing large datasets through ETL, engineering predictive features, designing A/B tests, and evaluating model impact through statistical analysis.
Location: Mountain View, California, United States
Base pay: $180,000–$243,500 per year, plus eligibility for a cash bonus, equity rewards, and benefits.
Company
is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Build and deploy machine learning models using analytical algorithms and deep learning.
- Analyze large datasets and apply data mining, NLP, and supervised and unsupervised machine learning to improve relevance and personalization.
- Collaborate with product managers, software engineers, and designers to design experiments and minimum viable products.
- Discover, access, import, clean, and transform data through self-directed ETL work.
- Create and refine features, run A/B tests, and use statistical analysis to measure optimization impact.
- Explore emerging technologies and connect them to customer benefits.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science, statistics, applied mathematics, operations research, or a related field.
- At least 1 year of industry experience in AI science and advanced analytical tools.
- Programming experience with Python or R and scikit-learn.
- Proficiency with SQL, Hive, or SparkSQL and comfort working in a Linux environment.
- Experience with data mining and statistical modeling techniques including clustering, classification, regression, neural networks, anomaly detection, recommender systems, and text mining.
- Ability to explain complex technical issues to technical and non-technical audiences.
Culture & Benefits
- Collaborative work with AI scientists, machine learning engineers, product managers, software engineers, and designers.
- Models and experiments directly affect customers across ’s product portfolio.
- Competitive compensation with performance-based rewards.
- Eligibility for cash bonus, equity rewards, and employee benefits.
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