💫 Welcome To Workday Jobs Scraper

🍃 About Workday.com

Workday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor. Workday was founded by David Duffield, founder and former CEO of ERP company PeopleSoft, along with former PeopleSoft chief strategist Aneel Bhusri, following Oracle's acquisition of PeopleSoft in 2005.[2]

In October 2012, Workday launched a successful initial public offering that valued the company at $9.5 billion.[3] Competitors of Workday include SAP Successfactors, Dayforce, UKG, and Oracle.[4]

In 2020, Fortune magazine ranked Workday Inc. at number five on their Fortune List of the Top 100 Companies to Work For in 2020 based on an employee satisfaction survey.[5]

🍃 Output Samples

{
    "applyUrl": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-CA-Pleasanton/Machine-Learning-Engineer_JR-0097159/apply",
    "canApply": true,
    "country": {
        "descriptor": "United States of America",
        "id": "bc33aa3152ec42d4995f4791a106ed09"
    },
    "description": "****Your work days are brighter here.****\n\nAt Workday, it all began with a conversation over breakfast. When our founders\nmet at a sunny California diner, they came up with an idea to revolutionize\nthe enterprise software market. And when we began to rise, one thing that\nreally set us apart was our culture. A culture which was driven by our value\nof putting our people first. And ever since, the happiness, development, and\ncontribution of every Workmate is central to who we are. Our Workmates believe\na healthy employee-centric, collaborative culture is the essential mix of\ningredients for success in business. That’s why we look after our people,\ncommunities and the planet while still being profitable. Feel encouraged to\nshine, however that manifests: you don’t need to hide who you are. You can\nfeel the energy and the passion, it's what makes us unique. Inspired to make a\nbrighter work day for all and transform with us to the next stage of our\ngrowth journey? Bring your brightest version of you and have a brighter work\nday here.\n\nAt Workday, we value our candidates’ privacy and data security. Workday will\nnever ask candidates to apply to jobs through websites that are not Workday\nCareers.\n\nPlease be aware of sites that may ask for you to input your data in connection\nwith a job posting that appears to be from Workday but is not.\n\nIn addition, Workday will never ask candidates to pay a recruiting fee, or pay\nfor consulting or coaching services, in order to apply for a job at Workday.\n\n**About the Team**\n\nWe're working on making machine learning core to Workday's products by\nbuilding features and capabilities that can be scaled out to hundreds of use\ncases within Workday. Illuminate: The next generation of Workday AI is\nunlocking a whole new level of productivity and human potential by\naccelerating manual tasks, assisting every employee, and ultimately\ntransforming entire business processes. With more than 70 million users under\ncontract generating more than 800 billion transactions a year on our platform,\nIlluminate leverages the world’s largest and cleanest HR and Finance dataset.\nThe combination of this data—with Illuminate’s ability to understand the\ncontext behind it—enables Workday to unlock value in a way no competitor can.\nJoin us as we change the way millions of people work.\n\n**About the Role**\n\nWe are developing ML-powered Information Retrieval, Recommendation and Agentic\nservices and platforms to modernize and simplify user interactions with\nWorkday. As a machine learning engineer, you will help develop tailored user\nexperiences using advanced Agentic AI, LLMs, Knowledge Graphs,\npersonalization, and predictive analysis. You will collaborate with other\nengineers to deliver ML solutions across Workday’s product ecosystem and\nutilize current software and data engineering stacks to enable training,\ndeployment, and lifecycle management of a variety of ML models; supervised and\nunsupervised, and agentic AI powered by LLMs. Additionally, you will develop\nand deploy new APIs/microservices using docker/kubernetes at scale and\nleverage Workday’s vast computing resources on rich datasets to deliver\ntransformative value to our customers. Sound like your kind of challenge?\n\n**About You**\n\nIn addition to contributing to feature and service development, you must have\nan approach of continuous improvement, passion for quality, scale, and\nsecurity. You must be curious and prepared to question or challenge choices\nand practices where they don't make sense to you or could be improved. You\nalso should have a product approach and strong intuition around how ML can\ndrive a better customer experience. Lastly, a strong sense of ownership and\nteamwork are essential to succeed in this role.\n\n**Key Responsibilities:**\n\n  * Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users.\n\n  * Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, topic modeling, GNNs and named entity recognition to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud based machine learning architectures.\n\n  * Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products.\n\n  * Keep abreast of the latest advancements in NLP research, techniques, and tools and apply this knowledge onto ML Features.\n\n**Basic Qualifications:**\n\n  * Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent\n\n  * 3+ years of professional experience in building information retrieval systems and/or graph-based recommendation systems. \n\n  * 3+ years of hands-on professional experience in developing text-based or graph-based machine learning models for production, including data processing, model fine-tuning, model deployment and model evaluation\n\n  * 2+ years of professional experience in building services to host machine learning models in production at scale \n\n  * 2+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases\n\n  * 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, and Sklearn\n\n  * 2+ years of professional experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and Docker\n\n  * 2+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)\n\n  * Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases\n\n**Other Qualifications:**\n\n  * Exposure to advanced techniques such as reinforcement learning and graph neural networks\n\n  * Standout colleague, strong communication skills, with experience working across functions and teams. Ability to teach, mentor and lead through influence\n\n  * Bonus points for relevant PhD and/or machine learning related research publications\n\n  \n**Workday Pay Transparency Statement**\n\nThe annualized base salary ranges for the primary location and any additional\nlocations are listed below. Workday pay ranges vary based on work location. As\na part of the total compensation package, this role may be eligible for the\nWorkday Bonus Plan or a role-specific commission/bonus, as well as annual\nrefresh stock grants. Recruiters can share more detail during the hiring\nprocess. Each candidate’s compensation offer will be based on multiple factors\nincluding, but not limited to, geography, experience, skills, job duties, and\nbusiness need, among other things. For more information regarding Workday’s\ncomprehensive benefits, please [click\nhere](http://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-\nworkmates).\n\nPrimary Location: USA.CA.Pleasanton\n\n  \n\nPrimary Location Base Pay Range: $165,600 USD - $248,400 USD\n\n  \n\nAdditional US Location(s) Base Pay Range: $139,800 USD - $248,400 USD\n\n  \n  \n**Our Approach to Flexible Work**  \n\nWith Flex Work, we’re combining the best of both worlds: in-person time and\nremote. Our approach enables our teams to deepen connections, maintain a\nstrong community, and do their best work. We know that flexibility can take\nshape in many ways, so rather than a number of required days in-office each\nweek, we simply **spend at least half (50%) of our time each quarter in the\noffice or in the field** with our customers, prospects, and partners\n(depending on role). This means you'll have the freedom to create a flexible\nschedule that caters to your business, team, and personal needs, while being\nintentional to make the most of time spent together. Those in our remote \"home\noffice\" roles also have the opportunity to come together in our offices for\nimportant moments that matter.\n\nPursuant to applicable Fair Chance law, Workday will consider for employment\nqualified applicants with arrest and conviction records.\n\nWorkday is an Equal Opportunity Employer including individuals with\ndisabilities and protected veterans.\n\n**Are you being referred to one of our roles? If so, ask your connection at\nWorkday about our Employee Referral process!**\n\n",
    "hiringOrganization": {
        "name": "Workday, Inc.",
        "url": "https://www.workday.com/en-us/company/careers/overview.html"
    },
    "id": "5c141a9e2bff1000da08726a21960000",
    "includeResumeParsing": true,
    "jobPostingId": "Machine-Learning-Engineer_JR-0097159",
    "jobPostingSiteId": "Workday",
    "jobReqId": "JR-0097159",
    "jobRequisitionLocation": {
        "country": {
            "alpha2Code": "US",
            "descriptor": "United States of America",
            "id": "bc33aa3152ec42d4995f4791a106ed09"
        },
        "descriptor": "USA, CA, Pleasanton"
    },
    "location": "USA, CA, Pleasanton",
    "posted": true,
    "postedOn": "Posted Today",
    "questionnaireId": "15cb5c09d59b10194f4f392d4e9e0000",
    "remoteType": "Flex",
    "secondaryQuestionnaireId": "17b317d5f803100e867834a8420d0000",
    "startDate": "2025-05-28",
    "timeType": "Full Time",
    "title": "Machine Learning Engineer",
    "url": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-CA-Pleasanton/Machine-Learning-Engineer_JR-0097159"
}

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