Staff AI Scientist

Intuit • Mountain View, CA

70d • $205,500 - $278,000

About The Position

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

Requirements

• 4+ years of industry experience with AI science
• BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
• 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning
• Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization
• Proficient in NLP techniques, Explainable AI, and ML frameworks
• Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R
• Efficient in SQL, Hive, SparkSQL, etc.
• Comfortable working in a Linux environment
• Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
• Quick learner, adaptable, with the ability to work independently in a fast-paced environment
• Strong oral and written communication skills.

Responsibilities

• Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
• Collaborates with stakeholders to define success criteria and align model metrics with business goals
• Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team's work, and holding the team accountable for high quality code, git, design, costs and implementation standards
• Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them 'model-ready'
• Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets
• Runs A/B tests to draw conclusions on the impact of your team's work and communicates results to peers and leaders
• Communicates with partners to ensure successful delivery and integration of DS solutions
• Proactively researches, explores, and enables new ML technologies.

Benefits

• Competitive compensation package
• Cash bonus eligibility
• Equity rewards
• Benefits in accordance with applicable plans and programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees