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Principal AI Scientist Mountain View, California

Intuit

Principal AI Scientist Mountain View, California

Intuit

mountain view

·

On-site

·

Full-time

·

2w ago

Compensation

$260,500 - $352,500

Benefits & Perks

Equity

Healthcare

Equity

Healthcare

Required Skills

Machine Learning

NLP

Statistics

Optimization

Python

Scala

R

SQL

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. We are waiting for you to join us and do the best work of your life.

Responsibilities

  • Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science across the organization
  • Leads team’s work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains.
  • Weighs ROI considerations of general and tailored capabilities for projects in the team
  • Creates new capabilities that solve critical business problems
  • Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
  • Influences business leaders to shape mission critical projects
  • Creates multi-year vision that connects product strategy with technology strategy
  • Drives architecture decisions, influences and contributes to ML platform architecture and strategy
  • Leads team and partners to the successful delivery and integration of ML solutions
  • Conducts design reviews, holds teams to technical and operational rigor.
  • Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community
    Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Qualifications

  • PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Solid knowledge of statistical techniques
  • 3+ years as either a lead in a AI science role or in a management position in AI science
  • Strong communication skills and proven experience as an influencer at the executive level
  • Hands-on programming experience and expert knowledge in one or more of: ML, NLP, Statistics, or Optimization
  • 6+ years' experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
  • 6+ years' experience with a general-purpose programming language (e.g. Python, Scala, etc.)
  • Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
  • Proven track record of influencing business leaders to shape mission critical projects
  • Proven track record of leading team to successful delivery of ML solutions
  • Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel

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,CA: $260,500 - $352,500
Southern California,CA: $237,000 - $320,500

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About Intuit

Intuit

Intuit provides financial software solutions to empower individuals and businesses.

10,001+

Employees

Mountain View

Headquarters

$140B

Valuation

Reviews

3.6

9 reviews

Work Life Balance

3.8

Compensation

3.2

Culture

3.1

Career

3.7

Management

3.0

65%

Recommend to a Friend

Pros

Flexible schedule and work independence

Good benefits and 401k match

Supportive teammates and collaboration

Cons

Management issues and favoritism

High pressure and quotas

Poor communication and politics

Salary Ranges

91 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

5 reports

$150,492

total / year

Base

$115,763

Stock

-

Bonus

-

$138,970

$163,540

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 86%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

Live Coding Interview

4

Case Study/Technical Assessment

5

Behavioral Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

System Design