Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer

Intuit is looking for innovative and hands-on Senior Staff Machine Learning Engineer to join the Intuit SBG AI team. Come join our collaborative and creative group of AI scientists and AI engineers and build real-time AI models that directly affect millions of our customers. In this role you will be tech leading, building and deploying machine learning models with a focus of generative AI approaches.

Responsibilities

• Practices leadership and communication skills to influence teams and to evangelize data 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 generative AI focused 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". You need to be willing and able to do your own ETL and design/build featurization.

• 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.

• Deploy real time AI models into production and work with analytics in launching 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 AI solutions.

• Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.

Qualifications

Tech prerequisites:

• 6+ years of industry experience with AI and machine learning. Working experience with Generative AI is strongly preferred

• MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent

• 6+ years of hands-on expertise in ML paradigms such as recommender systems, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.

• Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.

• Proficient in Generative AI, NLP, Explainable AI, and ML frameworks.

• Expertise in modern advanced analytical tools and programming languages such as Python, Scala, and/or Java.

• Efficient in SQL, Hive, SparkSQL, etc.

• 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. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

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. 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 $ 220,500- 298,500