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职位Intuit

Senior AI Scientist Multiple Locations

Intuit

Senior AI Scientist Multiple Locations

Intuit

mountain view

·

On-site

·

Full-time

·

2mo ago

必备技能

Machine Learning

Intuit is looking for an innovative and hands-on Senior AI Scientist to join the Intuit AI team. 

 

This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security and enhance customer care. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. 


Responsibilities

  • Perform hands-on data analysis and modeling with huge data sets 
  • Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms 
  • Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products 
  • Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL 
  • Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat 
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders 
  • Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver 

 



Qualifications

  • BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) 
  • 1+ years of industry experience with AI science 
  • 1+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn 
  • Efficient in SQL, Hive, or SparkSQL, etc. 
  • Comfortable in Linux environment 
  • 1+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining 
  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences 

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California: $173,500 - 234,500

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关于Intuit

Intuit

Intuit

Public

Intuit provides financial software solutions to empower individuals and businesses.

10,001+

员工数

Mountain View

总部位置

$140B

企业估值

评价

2.6

10条评价

工作生活平衡

3.5

薪酬

3.8

企业文化

3.2

职业发展

3.4

管理层

2.8

35%

推荐给朋友

优点

Good benefits and compensation

Supportive team and leadership

Flexible schedule and work-life balance

缺点

Inadequate training and software support

Poor management and lack of support

High expectations and micromanagement

薪资范围

91个数据点

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Business Data Analyst

2份报告

$123,000

年薪总额

基本工资

$116,528

股票

-

奖金

-

$123,000

$123,000

面试经验

7次面试

难度

3.0

/ 5

时长

14-28周

录用率

14%

体验

正面 14%

中性 86%

负面 0%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Live Coding Interview

4

Case Study/Technical Assessment

5

Behavioral Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

System Design