{"id":163287,"url":"https://alion.io/job/workday-machine-learning-engineer-iii-document-intelligence","title":"Machine Learning Engineer III - Document Intelligence","company":{"id":15002,"name":"Workday","domain":"workday.com","url":"https://alion.io/company/workday","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":99,"ghost_share":0.03,"stale_share":0.374,"repost_share":0.111,"time_to_fill_p50_days":22,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pleasanton, United States","Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"DeepEval","optional":false},{"name":"Docker","optional":false},{"name":"DSPy","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"PEFT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Spark","optional":true},{"name":"Transformers","optional":true}],"status":"closed","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-01T06:23:14Z","board_verified":false,"closed_at":"2026-11-01T06:23:14Z","days_open":82,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":81},"description":"Your work days are brighter here.\nWe’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.\nAbout the Team\nThis is a very exciting opening in the AI Platform team in our Document Intelligence team. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. Over 65% of the Fortune 500 are Workday customers.The Document Intelligence team builds AI/ML-powered solutions to extract actionable insights from unstructured documents. We design scalable document processing pipelines that can ingest and interpret large volumes of data with minimal manual intervention. Our work includes advanced document parsing using NLP, computer vision, and large language models (LLMs), along with in-house model training for entity resolution. We integrate seamlessly with business workflows for areas like financials, spend management, and more. By continuously evolving our models to handle new document types and edge cases, we help automate and accelerate critical business processes across the organization.\nWorkday’s AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of these challenges.\nAbout the Role\nWe are looking for a Machine Learning Engineerto join the ML - Document Intelligence team to drive the design and development of our core Document Intelligence Platform as a Service. In this role, you will work on building and optimizing critical features like generic document entity extraction, entity resolution, and document classification, leveraging cutting-edge AI/ML techniques.\nYour primary focus will be to:\nSupport the design and implementation of LLM-based technologies for document parsing, entity extraction, and classification tasks.\n\nApply traditional ML and deep learning techniques to continuously enhance the accuracy, efficiency, and scalability of our document intelligence models.\n\nBuild scalable ML pipelines and services for data preprocessing, feature engineering, training, and inference, enabling high-volume document processing workflows.\n\nPerform exploratory data analysis (EDA) on diverse document datasets to uncover valuable insights, optimize feature engineering, and inform model development.\n\nYou will also:\nCollaborate with software engineers, Workday app developers, product managers, and other ML teams\n\nTake ownership for finding creative solutions that move projects forward\n\nWrite clean, maintainable, and testable code following best practices in software engineering, including automation, observability, and scalability.\n\nConduct code reviews, participate in design discussions, and engage in collaborative team activities like hackathons and knowledge-sharing sessions.\n\nAbout You\nBasic Qualifications:\nDeep Technical ML Capability: 3+ years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP, Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.\n\nGenerative AI & Agentic Systems: Proven track record of building and evaluating NLP and LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).\n\nEngineering Excellence: 2+ years of Python experience with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.\n\nOther Qualifications\nAcademic Foundation: Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications.\n\nOptimization & Advanced Techniques: Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing (PySpark, SQL).\n\nExperimental Rigor: A \"test-everything\" mindset with experience in A/B testing, Knowledge Graphs, and \"Golden Dataset\" curation for model benchmarking.\n\nData Pipelines: Proficiency in large-scale data processing (PySpark, SQL).\n\nProduction MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).\n\nCollaborative Leadership: Demonstrated ability to lead cross-functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.\n\nWorkday Pay Transparency Statement\nThe annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.\nPrimary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $160,000 USD - $240,000 USDAdditional US Location(s) Base Pay Range: $136,200 USD - $240,000 USDOur Approach to Flexible Work\nWith Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote \"home office\" roles also have the opportunity to come together in our offices for important moments that matter.\nPursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.\nWorkday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.\nWorkday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.\nWorkday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.\nIf you require a reasonable accommodation, you may email , as far in advance as possible.\nAre you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!\nAt Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.\nPlease be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.\nIn addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.","description_format":"text","description_chars":9411,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Home office"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["ERP & Business Management Software","HR & Payroll Software","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-08-11T00:00:00Z"},{"event":"close","at":"2026-09-24T01:32:40Z"},{"event":"reopen","at":"2026-10-29T15:12:19Z"},{"event":"close","at":"2026-11-01T06:23:14Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":240000,"is_top_pay":true},"html_url":"https://alion.io/job/workday-machine-learning-engineer-iii-document-intelligence","json_url":"https://alion.io/job/workday-machine-learning-engineer-iii-document-intelligence.json","meta":{"generated_at":"2026-11-01T20:55:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31921,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":15002},"rest":"https://alion.io/mcp/rest/get_company?id=15002"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fworkday-machine-learning-engineer-iii-document-intelligence"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fworkday-machine-learning-engineer-iii-document-intelligence"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fworkday-machine-learning-engineer-iii-document-intelligence"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/workday-machine-learning-engineer-iii-document-intelligence\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fworkday-machine-learning-engineer-iii-document-intelligence"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":163287}},{"tool":"search_jobs","arguments":{"company":"workday.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":163287},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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