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Principal Machine Learning Engineer Mountain View, California

Intuit

Principal Machine Learning Engineer Mountain View, California

Intuit

mountain view

·

On-site

·

Full-time

·

2w ago

Compensation

$254,500 - $344,000

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Healthcare

401k

Equity

Flexible Hours

Required Skills

Machine Learning

Python

Java

Scala

TensorFlow

PyTorch

Data structures

Algorithms

Distributed systems

Leadership

Intuit is seeking a highly motivated and experienced Principal Machine Learning Engineer to join our Mid Market AI team. In this influential role, you will lead the design, development, and deployment of end-to-end AI/ML solutions that power the next generation of intelligent features across Intuit’s financial products. You will shape strategy, drive innovation, and scale impactful solutions that deliver measurable value to our customers.

Responsibilities

  • Technical Leadership: Define and own AI strategy and ML platform architecture, setting a multi-year technical roadmap.
  • End-to-End ML Systems: Lead the full lifecycle of ML solutions—from data curation and model training to robust deployment and monitoring in production.
  • Cutting-Edge AI Applications: Apply state-of-the-art technologies such as Large Language Models (LLMs) and Multimodal Language Models to solve complex business
  • Innovation & Prototyping: Accelerate experimentation by building rapid prototypes and scaling successful solutions to production.
  • Mentorship: Provide technical guidance to junior engineers, foster a culture of technical excellence, and champion operational rigor.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to deliver solutions that drive customer success.

Qualifications

  • Master's or Ph.D. in Computer Science or a related field with a focus on AI/ML or equivalent experience.
  • 10+ years of experience developing and deploying production-level ML.
  • Expertise in programming languages such as Python, Java, or Scala.
  • Proficiency with modern ML frameworks (Tensor Flow, Py Torch).
  • Strong foundation in computer science fundamentals (data structures, algorithms, distributed systems).
  • Proven communication and leadership skills to influence technical direction and engage both technical and non-technical stakeholders.

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 1 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: $254,500 - 344,000ReferencesVisible links1. https://www.intuit.com/careers/benefits/full-time-employees/

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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