Intuit Inc.
Mountain View, California
Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. Responsibilities Discover data sources, get access to them, import them, clean them up, and make them "machine learning ready". Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. 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 BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) 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. The expected base pay range for this position is: Bay Area, CA: $197,000 - $266,500.
Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. Responsibilities Discover data sources, get access to them, import them, clean them up, and make them "machine learning ready". Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. 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 BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) 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. The expected base pay range for this position is: Bay Area, CA: $197,000 - $266,500.
Intuit Inc.
Mountain View, California
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 (TensorFlow, PyTorch). 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. Compensation & Benefits 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 ). 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. Expected base pay range for this position: Bay Area California: 254,500 - 344,000
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 (TensorFlow, PyTorch). 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. Compensation & Benefits 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 ). 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. Expected base pay range for this position: Bay Area California: 254,500 - 344,000