Jobs
Intuit is seeking a Manager 2, AI Science to join Intuit AI team.
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
- Lead and create a team of AI scientists
- Mentor and hire the best AI scientists in the valley
- Apply artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities
- Deliver breakthrough benefits to Intuit users/customers across small business & consumer products using individual, enriched, and aggregated data
- Provide leadership in advanced engineering, AI science and analytics in the development of current or future products or technologies
- Provide technical leadership across multiple teams, by understanding a key technology space deeply enough to help guide strategy
- Provide/inspire AI science innovations that fuel the growth of Intuit as a whole
- Understand and teach proven methods and hacking skills in working with divergent data types at scale, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
- Provide to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
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.
Qualifications
- BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics, etc.)
- 2+ plus years experience as an established technical leader/Manager of AI science teams that have successfully delivered data-driven software products.
- Innovative and disruptive technology leader solving long term strategic outcomes
- Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices
- Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
- Impeccable attention to detail and strong ability to convert complex data into insights and action plans
- Strategic thinker, flexible problem solver, great listener and team orientation
- Able to effectively communicate a vision and inspire others to innovate
- You thrive on ambiguity and enjoy the frequent pivoting that’s part of the exploration. You are extremely passionate about applying practically Machine Learning to real customer problems, powering the next generation experiences for large scale applications.
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:
Southern California,CA: $205,000-$277,000
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About Intuit
Reviews
3.6
9 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
3.1
Career
3.7
Management
3.0
65%
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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
Mid/L4
Senior/L5
Mid/L4 · Business Operations Manager
2 reports
$144,463
total / year
Base
$125,620
Stock
-
Bonus
-
$140,056
$149,021
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
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