Machining Engineer jobs at Workday

Come join the Consumer Group (CG) AI Team as a Staff Machine Learning Engineer. The CG AI team focuses on bringing the top-notch AI features to Intuit's TurboTax customers for their delight. 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. You will get the chance to work on the cutting-edge AI technologies, as well as collaborate across organizations and functions with our partners in the engineering, product management, analytics and design departments to ensure that we are building a pleasant customer experience, striving for more money, less work and complete confidence for our TurboTax customers. **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 **Qualifications** + BS, MS, or PhD degree in Computer Science or related field, or equivalent practical 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 cu DNN) + 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 (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: Bay Area, California: $197,000 - $266,500 San Diego, California: $184,500 - $250,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations. **Responsibilities** + Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models. + Build "machine learning ready" feature pipelines. + Partner with AI scientists to understand, implement, refine and design machine learning and other algorithms. + Run regular A/B tests, gather data, and draw conclusions on the impact of your models. + Monitor and maintain production models. + Work cross functionally with product managers, AI 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. **Qualifications** + BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. + 7+ years of experience + Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). + 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 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 (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: Bay Area California: $197,000 - $266,500 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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 cu DNN) * 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 (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: Bay Area,CA: $197,000 - $266,500.

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 cu DNN) + 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 (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: Bay Area,CA: $197,000 - $266,500. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Come join the **VEP (Virtual Expert Platform) AI** **team as a Staff Machine Learning Engineer!** The Horizon AI team is dedicated to building **Autonomous Operations** **for Intuit's Expert Network. Our mission is to deliver AI-native solutions across forecasting, planning, optimization, and routing to drive clarity and efficiency in decision-making.** In this role, you will be a technical lead embedded within a team of AI scientists and engineers. You will move beyond standard predictive modeling to tackle some of the hardest problems in enterprise operations: **large-scale optimization** **and** **complex resource allocation** **. You will be responsible for designing and deploying systems that determine how thousands of experts are hired, scheduled, and assigned to millions of customers.** You will take ownership of critical engines like the demand forecasting, capacity planning, schedule and task assignment systems, moving them from heuristic prototypes to robust, production-grade solvers using techniques like Mixed-Integer Programming (MIP) and Constraint Satisfaction. **Responsibilities** + **Optimization Engine Development:** **Architect and implement enterprise-scale optimization engines for hiring/supply decisions and shift generation/activity assignment. Translate business constraints into mathematical formulations using Mixed-Integer Linear Programming (MILP) or Constraint Satisfaction.** + **Productionize AI & Operations:** **Build and scale machine learning models and optimization solvers using modern frameworks. Develop reliable pipelines and microservices that can handle millions of variables and decision points.** + **Advanced Forecasting:** **Collaborate with scientists to implement driver-based and attribute-driven forecasting models to predict demand (volume, handle-times) and supply availability, handling challenges like sparsity and hierarchical constraints.** + **System Modernization:** **Lead the transition from legacy heuristic models to robust, self-healing AI systems. Enforce high standards for code coverage, unit testing, and observability (OpEx) to ensure system stability.** + **Cross-Functional Leadership:** **Partner with product managers, operations leaders, and data scientists to define the roadmap for** **Autonomous Operations** **. Translate complex operational needs into technical AI solutions.** + **Innovation:** **Explore and implement emerging technologies, including** **Reinforcement Learning (RL)** **for real-time decision-making and agentic automation workflows.** **Qualifications** + **Education:** **BS, MS, or PhD degree in Computer Science, Operations Research, Industrial Engineering, or a related field.** + **Experience:** **6+ years of industry experience in applied machine learning, AI engineering, or software engineering.** + **Core Engineering:** **Strong proficiency in** **Python** **and software engineering fundamentals (data structures, algorithms, version control, CI/CD). Experience deploying highly scalable software supporting millions of users.** + **Cloud & Infrastructure:** **Experience integrating applications with cloud technologies (i.e., AWS, GCP) and containerization (Docker/Kubernetes).** 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: San Diego, California: $184,500 - $250,000 Bay Area, California: $197,000 - $266,500 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Come join the Consumer Group (CG) AI Team as a Staff Machine Learning Engineer. The CG AI team focuses on bringing the top-notch AI features to Intuit's TurboTax customers for their delight. 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. You will get the chance to work on the cutting-edge AI technologies, as well as collaborate across organizations and functions with our partners in the engineering, product management, analytics and design departments to ensure that we are building a pleasant customer experience, striving for more money, less work and complete confidence for our TurboTax customers. **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 **Qualifications** + BS, MS, or PhD degree in Computer Science or related field, or equivalent practical 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 cu DNN) + 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 (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: Bay Area, California: $197,000 - $266,500 San Diego, California: $184,500 - $250,000 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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** + **Model Prototyping:** The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models. + **Model Productionalization** : Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models. + **Model Enhancement** : Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose. + **Machine Learning Tools** : The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling. **Qualifications** + BS, MS, or PhD degree in Computer Science or related field, or equivalent practical 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). 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: Bay Area California,CA: $137,500.00 - 186,500.00 Southern California,CA: $124,500.00 - 168,500.00 New York $136,000.00 - 184,000.00 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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** + **Model Prototyping:** The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models. + **Model Productionalization** : Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models. + **Model Enhancement** : Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose. + **Machine Learning Tools** : The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling. **Qualifications** + BS, MS, or PhD degree in Computer Science or related field, or equivalent practical 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). 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: Bay Area California,CA: $137,500.00 - 186,500.00 Southern California,CA: $124,500.00 - 168,500.00 New York $136,000.00 - 184,000.00 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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. 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 - 344,000 References Visible links 1. ************************************************************

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. 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 - 344,000 References Visible links 1. ************************************************************ EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

As a Staff Communication Services Engineer, you will be a key player in the design, implementation, and maintenance of critical systems within our broadcast studio environment. You will ensure seamless and reliable delivery of our productions, both live and recorded. You will develop operational procedures for all aspects of our productions, from on-air talent and production crews to control room operations and remote contributors. Responsibilities * Design, implement, configure, operate and maintain all broadcast--both onset and mobile-- studio offering * Provide expert-level support and troubleshooting for complex communication issues during live broadcasts, recordings, and pre-production phases. * Collaborate with production teams, audio engineers, and IT professionals to integrate communication systems with existing broadcast infrastructure. * Develop and maintain documentation for system configurations, operational procedures, and troubleshooting guides. * Stay abreast of industry trends and emerging technologies in broadcast communication, recommending and implementing upgrades and enhancements as needed. * Manage inventory of communication equipment, including ordering, tracking, and maintenance schedules. * Train and mentor junior engineers and production staff on the proper use and maintenance of communication systems. * Ensure compliance with all relevant standards, regulations and security policies. * Deliver polished recordings to studio customers Qualifications * Bachelor's degree in Electrical Engineering, Computer Science, Broadcast Technology, or a related field, or equivalent practical experience. * Minimum of 8 years of experience in broadcast engineering * Experience with LED walls for production. * Ability to operate/troubleshoot an SDI workflow. * Working knowledge of Dante and analog audio. * Experience with Yamaha QL1 and DM7 audio mixer. * Experience with Shure wireless lavalier & handheld mics, wireless IFB, shotgun mics and Wireless Workbench * Expertise in studio lighting technology such as Arri, Aputure, Amaran, Lightgear, Lightmat, lighting systems, DMX protocol * Thorough knowledge of RTMP and cloud video services such as, Zoom, Zoom Webinar and Streamyard * Expertise in SDI, NDI and SRT technologies * Expertise in Blackmagic Design technologies such as Teranex standards conversion, 4K web presenter, cloud storage and media management, cameras and routers, RK ATEM, 4ME, ATEM CCU * Camera expertise - BMD, Sony, prime and zoom lenses and tripod systems * Teleprompter setup and operation. * SDI video routing workflow and operation. * Tricaster TC2 programming and operation. * Advanced Adobe and DaVinci editing workflows * Ability to troubleshoot complex technical issues under pressure. * Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. * Strong organizational skills and attention to detail 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:

The Geodatabase development team delivers cutting edge data management software to customers globally. As a member of the ArcGIS Desktop, ArcGIS Pro, and ArcGIS Enterprise teams, you will work with a diverse group of engineers to implement creative solutions to solve complex GIS data problems. Our Product Engineers work with developers and engineers to design, develop, certify, and release new and innovative software product capabilities. In this role you will contribute to quality assurance and customer education by implementing and documenting creative solutions to complex problems involving the creation, management, and analysis of spatial data. Join our team if you have a passion for working with databases and spatial data! Responsibilities Engage with Esri product management and our user communities to synthesize user requirements and industry needs into development objectives Collaborate with software engineers, product engineers, and other stakeholders to build and test ArcGIS functionality related to data management for enterprise geodatabases and data management services such as utility network, feature service, network diagram, version management, geodata, and WFS Drive the planning, design, quality assurance, certification and release of ArcGIS data management functionality Define documentation objectives for communicating sophisticated technology to our user community Communicate plans and status to internal stakeholders and senior management Identify opportunities to integrate new technologies and patterns with our existing software Drive the development process, including release planning, iteration planning, daily stand-ups, iteration reviews and retrospectives Assess product quality and release readiness Requirements 8+ years of experience designing, developing, and/or implementing software solutions in electric, gas, water, sewer, stormwater, or telecommunications using ArcGIS software Experience using an application development language, such as C#, Java, C++, or Python Strong DBMS expertise in a commercial RDBMS Effective time management and organizational skills Excellent verbal and written communication skills at the technical and management level Excellent problem-solving and creative thinking skills A self-motivated team player with an interest in continuous learning and the ability to guide staff towards excellence Bachelor's degree in geography, GIS, computer science, engineering, or related fields Recommended Qualifications Understanding of the Agile software development life cycle Experience using web technologies such as JSON, REST, or JavaScript Experience developing and implementing test plans Experience developing and executing automated, functional, regression, and performance tests Knowledge of a source control and issue management system Familiarity with system and web server administration Comfortable working on multiple projects simultaneously Master's degree in geography, GIS, computer science, engineering, or related fields Total Rewards Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is$116,480-$187,200 USD The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email ******************* and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Viewing, exploring and filtering geographic content is a key process for gaining insights into our world. We're looking for someone passionate about interactive exploration of GIS data in multiple dimensions who can lead projects that deliver software that helps our users gather knowledge and understanding from their content. As a senior member of the Map Exploration Team within the ArcGIS Pro software development team, you'll drive the design, testing, and maintenance of innovative new tools and capabilities that allow users to filter and explore their GIS data. This work includes enhancements to existing capabilities - such as navigation, selection, and animation - as well as the investigation and research of future capabilities, such as multiple types of simulation. You'll be actively involved in ensuring the usability, quality, and functionality of the software supports realistic workflows and use-cases. You will also support the technical growth of other staff members, ensure strong knowledge transfer, and support the design and testing of other projects within the team. Where applicable, you will collaborate with other teams for capabilities that are needed across the ArcGIS platform, including the proper use of standardized data formats and methodologies. We are redesigning and expanding many aspects of our data exploration capabilities in ArcGIS Pro, so now is a great time to add your skills to a diverse team of engineers and developers committed to delivering a host of innovative data exploration tools. Responsibilities Work with users and industry experts to identify primary use-cases and workflows Innovate the development of exploratory tools for GIS data (tabular, 2D, 3D, time) Develop and implement test cases and validate bug fixes Contribute to the maintenance, monitoring, and growth of the automated test suite Troubleshoot production issues in current and past software versions Work with other teams to expose data exploration capabilities across the ArcGIS Platform, including the online, runtime, and mobile platforms Share and distribute your workflows and projects in samples, tutorials, blog articles, videos, and help documentation Requirements 8+ years of experience using an application development language (such as C++, Java, or C#) 8+ years of experience with software development processes Proven ability to lead, collaborate on, and deliver complex software capabilities Strong analytical problem-solving abilities Excellent written and verbal communication skills Bachelor's in computer science, computer engineering, or a related field level Recommended Qualifications Working knowledge of computer graphics APIs such as DirectX and OpenGL Extensive experience with simulation and 3D visualization techniques Working knowledge of web GIS technologies such as JSON, REST, and JavaScript Strong knowledge of 3D data formats Familiarity with Esri ArcGIS platform technologies Knowledge of UI/UX design techniques Master's in computer science, computer engineering, or a related field #LI-RC2 Total Rewards Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is$116,480-$187,200 USD The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email ******************* and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Do you have a flair for technical writing and a drive to connect with and inspire the developer community? Combine your love for writing with your interest in technology by creating documentation for the ArcGIS Maps SDKs. We're seeking tech-savvy individuals who can empower and educate our users to build cutting-edge mobile and desktop applications. In this role, you'll promote best development practices by writing SDK guides, end-to-end tutorials, API references, and engaging blog content. Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position. Responsibilities Dive into the world of ArcGIS Maps SDKs and empower developers to craft amazing geospatial apps for desktop and mobile Tell the story behind the tech; create clear, helpful guides, tutorials, and API documentation that make complex concepts easy to understand Test new features to ensure new workflows and endpoints are accurately represented for all supported versions and products Triage and address customer reported documentation issues Share the love! Connect with our community through blogs, videos, and social media to keep them informed and inspired Be the face of the product and help users succeed by supporting them at conferences and in online forums Requirements 2+ years of hands-on experience with SDKs and competence with at least one of the Native Maps SDK programming languages - Swift, Kotlin, Flutter, .NET, or Qt Ability to pick up new tech concepts quickly; break down complex API into clear, concise, and compelling stories and effectively communicate them Solid understanding of Git and an ability to learn and work with industry-standard content management tools Excellent written and verbal communication skills Bachelor's degree in GIS, computer science, or a related field Recommended Qualifications Experience with technical writing and/or blog content Master's degree in GIS, computer science, or a related field #LI-EL1 #LI-Hybrid

Join the geoprocessing development team as we enhance and maintain a large and growing suite of 2,000+ geoprocessing tools in ArcGIS. Geoprocessing provides powerful spatial analysis and data management capabilities used by thousands of organizations around the world to analyze, manage, and share their data. Product engineers are software experts and advocates for the Esri user community within the development team. As a geoprocessing product engineer, you will coordinate requirements from the user community, enter enhancement requests and bug reports, and help decide team priorities. You will collaborate with developers and other product engineers to design and build user-friendly and performant software that produces correct results (or helpful errors). Responsibilities Design, test, and document geoprocessing tools and workflows Troubleshoot software issues related to geoprocessing tools Write automated test cases in Python Analyze test results to determine pass/fail status, reporting results in a timely and consistent manner Author clear and concise help topics that allow users to understand complex concepts Assist in managing, editing, and reviewing technical documentation Create compelling blogs, videos, tutorials, or samples that illustrate geoprocessing capabilities Requirements Knowledge of the geoprocessing and analysis capabilities in ArcGIS, expressed through a portfolio, website, code repo, or other description of related work and projects Experience communicating complex technical information to diverse audiences in written and verbal form 2+ years of professional experience using Python Ability to confidently present ArcGIS functionality in-person and online to groups of colleagues or the user community Ability to think critically about alternative approaches and select the best one Capacity to multitask in a fast-paced agile software development environment Bachelor's in GIS or Computer Science Recommended Qualifications Experience with documentation management systems (DITA or docs-as-code) Experience using GitHub or other software for version management Project management knowledge or experience Master's in GIS or a related field #LI-AL1 #LI-Hybrid

ArcGIS Spatial Analyst is an extension for the ArcGIS software that offers a comprehensive array of raster analysis tools. It enables users to conduct intricate raster modeling and analysis to address geographic challenges, facilitating the extraction of valuable insights from geographic data. These tools assist in terrain modeling, identifying suitable locations and routes, uncovering spatial patterns, conducting hydrologic and statistical analyses, and more. The field of spatial analysis and raster processing is continuously advancing. We are looking for a passionate, motivated, and self-directed individual to join our development team who can break down complex problems into manageable solutions. You will help us in designing and building the cutting-edge raster analysis tools for our ArcGIS products. Join Esri with your enthusiasm, where you can contribute to shaping the future of raster analysis. Responsibilities Understand customer requirements and translate them into functional requirements, product improvements, and new software design Ensure a rich GIS user experience by testing individual functionality, user interfaces, workflows, and application programming interfaces for GIS programmers Design and develop test plans and test cases, write test code, and execute and analyze tests to enhance the overall quality of Esri products Author technical documents and write blogs and lessons for ArcGIS users Participate in defining the product vision and roadmap for raster analysis tools, Suitability Modeler, and user experience for future releases Participate in designing and creating the content for educational materials in collaboration with other team members Requirements Strong analytical and problem-solving skills Programming skills in Python or similar languages Excellent written and verbal communication and presentation skills with the ability to communicate complex concepts effectively Proven ability to complete tasks on time with minimal guidance in a fast-changing environment Ability and aptitude to learn new skills Self-motivated and passionate about making a difference Proven ability to work in a team Bachelor's in computer science, environmental science, engineering, geography, GIS, or related field Recommended Qualifications Master's or Ph.D. in computer science, environmental science, engineering, geography, GIS, or related field Experience with ArcGIS or other geospatial technology; raster analysis a plus Experience with solving real-world problems in industry or an academic setting Familiarity with software development and testing #LI-AL1 #LI-Hybrid

The fleet routing software provided by Esri empowers the largest companies in the world to solve their challenging vehicle routing problems. We actively develop new capabilities, and have openings for energetic, organized, and proactive individuals to test the quality and performance of these solvers, and to contribute to their future design and documentation. Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position. Responsibilities Gain a thorough understanding of the fleet routing solvers Extend and maintain an extensive suite of test cases that exercise various features of the fleet routing solvers Create adversarial test cases to expose potential flaws in solution quality Build, run, and monitor the performance, durability and scalability of the fleet routing solvers Create compelling and clear data visualizations of testing results Collaborate with development programmers to design and build innovative new functionality Engage with customers to understand their real-world business problems, and to model those problems using Esri fleet routing functionality Research and analyze customer requests and industry standards to establish and define new solver requirements Troubleshoot and diagnose customer problems involving solution quality or performance Test and document recommended workflows for ArcGIS users and developers Create innovative solutions combining various Network Analyst and other GIS techniques, within the broader context of strategic planning and territory design Requirements 2+ years of experience in one of the following: Developing test data and test cases as well as designing and running stress and load tests Statistical analysis on large datasets to summarize data, discover trends and patterns, and provide insight Jupyter Notebooks and Python's visualization and data science libraries (such as Matplotlib and Pandas) Experience developing applications in Python and the use of REST APIs Excellent verbal and written communication skills Proven ability to analyze and solve problems in rigorous and innovative ways Bachelor's degree in operations research, computer science, mathematics, data science, or related field Recommended Qualifications Master's degree in operations research, computer science, mathematics, data science, or related field Knowledge of Vehicle Routing Problem models such as electric vehicle routing and household waste pickup Knowledge of route optimization methodologies, especially the use of metaheuristics Experience with statistical design of experiments and algorithm tuning Passion for finding the needle in the haystack #LI-EL1 #LI-Hybrid

Join the ArcGIS Data Pipelines team and be part of an exciting opportunity to build next-generation data preparation and ingestion tools for enterprise and cloud users. In this role, you will focus on testing and releasing capabilities while designing innovative user experiences. As an early and critical team member, you will play a vital role in launching these new tools. We are seeking a communicative, creative, and motivated individual who is eager to learn, tackle diverse challenges, and contribute to the development of impactful software. Help us harness the power of geospatial reasoning to answer countless questions and address the world's most pressing and complex problems. Responsibilities Collaborate with other passionate product engineers and software developers to create software that is user-friendly, performant, and impactful Gather user requirements and be a strong voice to advocate for user workflows during the design phase Design, develop, and maintain new test cases to ensure quality and performance Run manual and automated test cases then analyze and report results in a timely and consistent manner Design controls, pages, and other user interfaces Author samples, blogs, and other resources that illustrate new capabilities and present this work to stakeholders and user groups Requirements 2+ years of experience with Python or other scripting languages 2+ years of experience combining and preparing data from different data sources Familiarity with web analysis experiences like ArcGIS Online or ArcGIS Enterprise Confident verbal communicator; comfortable giving in-person and online presentations to groups of colleagues or the user community Ability to manage priorities and tasks as needed in a fast-paced agile software development environment Self-motivated and inquisitive, willing to ask questions and chase new ideas Bachelor's in GIS, computer science, data analysis or a related field, depending on position level Recommended Qualifications Master's in GIS, computer science, data analysis or a related field Experience with PySpark Experience with LLMs or AI Project management knowledge or experience Experience with NoSQL databases, RDBMS, cloud warehouses, and object stores Experience with testing frameworks such as pytest Fundamental understanding of APIs and API design principles Experience with ArcGIS Online or ArcGIS Enterprise #LI-AL1 #LI-Hybrid

Join our team in building the next generation of AI capabilities in ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capabilities to millions of users worldwide. Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and cloud environments. Our software is used to make maps, geographic information, and analyses available on any device, anywhere, at any time. As a product engineer, you are integral to delivering high-quality software working with our cross-functional global team of product engineers and developers. You will be actively involved with designing, testing and delivering next generation AI capabilities in ArcGIS Enterprise using software development and quality assurance practices. If you are passionate about software quality, geospatial technology, AI and can develop a deep understanding of our products and customer needs, this is the place to be. Responsibilities Contribute to the development, deployment and maintenance of AI frameworks, services, applications and models Collaborate with cross-functional teams to deliver AI based services and servers in ArcGIS Online, Enterprise and cloud platforms Triage, troubleshoot and address reported issues in the software Ensure software quality and participate in software security reviews Communicate project status regularly to the team Requirements 2+ year of Python or Java programming experience Experience with SDLC, source control and agile practices for project management Experience with containers, Kubernetes, and cloud environments (AWS/Azure/GCP) Knowledge of Generative AI concepts and techniques Excellent problem-solving and analytical skills Effective time management, and organizational skills Good written and verbal communication skills Bachelors in GIS, geography, engineering, computer science, or related fields Recommended Qualifications Experience with ArcGIS Enterprise, ArcGIS Online or other geospatial technology Familiarity with performance monitoring (JMeter), testing tools and frameworks (Pytest, JUnit) Experience working with Linux and Windows operating systems #LI-TA1 #LI-Hybrid