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Added 17 hours ago
Jr. ML Developer
Patriot Group International
Herndon, VA
As a Junior Machine Learning Developer, you will play a critical role in supporting the design, development, and deployment of machine learning models that drive data-driven decision-making…
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Lead Software Engineer
Randstad USA
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- $70 to $100 USD / hour
Agentic Systems: Design and deploy agentic AI systems that autonomously analyze and optimize runtime code performance.
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Sr. Digital Project Engineer III
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United States
Posting Title: Sr. Digital Project Engineer (Onsite)
Added 17 hours ago
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Translating engineering design requirements into formal manufacturing process documentation
Added 17 hours ago
Manufacturing Engineer II
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Translating engineering design requirements into formal manufacturing process documentation
Added 17 hours ago
Associate DevOps Engineer
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AI Optimization Engineer - ONSITE
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Vadnais Heights, MN
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Review machine assemblies and technical drawings to communicate design requirements to engineering teams.
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Mission Operations Engineer (Platform)
Saronic Technologies
San Diego, CA
As a Mission Operations Engineer, you will be hands-on with the deployment, validation, and iterative improvement of our underwater unmanned vessel. You will be a member of the Platform…
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Industrial Engineer
Anderson International Corp
Stow, OH
- $70,000 to $80,000 USD / year
The Industrial Engineer is responsible for the industrialization of assigned Anderson-engineered product, building the manufacturing routings and standards that define how each part is made…
Added 17 hours ago
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Software Engineer, RL Environments
True Talent Solutions Partners
San Francisco, CA
- $260,000 to $290,000 USD / year
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Added 17 hours ago
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Founding Backend & Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $160,000 to $200,000 USD / year
Join an early-stage healthtech team as a founding engineer, owning the backend systems behind clinical and financial workflows. You will build infrastructure that processes complex…
Added 17 hours ago
Full-Stack Software Engineer
True Talent Solutions Partners
Austin, TX
- Design systems that can be replicated across multiple factory locations.
Added 17 hours ago
Lead Algorithm & Signal Processing Engineer
STR
Dayton, OH · Arlington, VA · Woburn, MA
Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
Added 17 hours ago
Lead Algorithm & Signal Processing Engineer
STR
Arlington, VA · Dayton, OH · Woburn, MA
Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
Added 17 hours ago
Lead Algorithm & Signal Processing Engineer
STR
Woburn, MA · Arlington, VA · Dayton, OH
Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
Added 18 hours ago
Automation Engineer (Design)
MW Components
Kemah, TX
Design machine frames, guarding, tooling, part handling, and mechanical assemblies.
Added 18 hours ago
Software Development Engineer, AWS OpenSearch
Amazon Development Center U.S., Inc.
Austin, TX
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Added 18 hours ago
Full Stack Modeling and Simulation Software Engineer
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Beyond application development, you'll design, develop, and maintain scalable data flows and pipelines using Palantir Foundry and other applicable technologies to enable data integration,…
Added 18 hours ago
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AI Engineer
Imagine Learning
Remote, United States
- $129,339 to $200,000 USD / year
The AI Engineer explores new AI capabilities for education at Imagine Learning. On a small, co-located R&D team, this hands-on role turns experiments into prototypes and reliable software.…
Added 18 hours ago
Field Engineer
Hensel Phelps
Taylor, TX
The Field Engineer (FE) works directly for the Superintendent and is expected to exercise judgment and discretion in making recommendations, implementing policies and procedures and…
Added 18 hours ago
MACHINE LEARNING ENGIENEER II (REMOTE)
HOME DEPOT MANAGEMENT COMPANY, LLC
Remote, United States
Position Purpose:The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a…
Added 18 hours ago
Applied Research Software Engineer
Apple
San Jose, CA
…focused on emerging technologies. As an Applied Research Software Engineer on this team, you will be responsible for leading end-to-end incubations from early ideation to deployment,…
Added 18 hours ago
Senior Operational Technical Engineer
Enviva
Raleigh, NC
The Senior Operational Technology (OT) Engineer is responsible for the design, administration, maintenance, and continuous improvement of the company’s industrial control systems,…

Closed listing

Workday, Inc.

Software Development Engineer - Document Intelligence

CA, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Your work days are brighter here.

We’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.

About the Team This 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. Workday’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. About the Role

As a Software Development Engineer for the Document Intelligence team, you will be a key contributor to the team, working closely with senior engineers and ML researchers to build and deploy robust, scalable AI platforms. You will play a vital role in turning innovative ML concepts into production-ready solutions, with a focus on agentic AI capabilities such as planning, reasoning, and action execution frameworks.

Your Primary Focus:

Implement AI Platforms: Develop and maintain sophisticated AI platform capabilities, focusing on patterns like tool calling, multi-agent architectures, and human-in-the-loop integrations. You will write clean, performant code that ensures these systems are resilient in production.
Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. You will contribute to the development of multi-tenant runtime architectures that enable fast inference and scale to millions of users.
Collaborative Engineering: Participate in design reviews and code quality initiatives. You will apply software development best practices to ensure our codebase remains maintainable, testable, and efficient.

You Will Also:

Translate Requirements: Work with cross-functional teams to turn product requirements into functional technical designs.
Apply MLOps Standards: Utilize industry-standard practices, including automation, observability, and CI/CD, to deliver high-quality ML solutions.
Continuous Learning: Stay current with evolving AI/ML technologies and contribute to the team’s collective knowledge.

About You

Basic Qualification:

5+ years experience in software development engineering including designing, developing, and deploying software solutions.
2+ years of experience in Python, with a consistent track record of shipping production code and systems.
2+ of experience building scalable data pipelines and working with large-scale datasets.
2+ years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps.
Bachelor’s degree in a relevant field such as Computer Science, Engineering, or a related discipline, or equivalent practical experience.

Other Qualification:

Solid ability in Algorithmic Thinking to design and implement efficient solutions for agentic system development.
Expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development.
Validated algorithmic thinking and a track proven history designing, implementing, and analyzing efficient algorithms for complex problems.
Demonstrated ability to build flexible, reusable, and well-documented software components, with comprehensive experience in code testing strategies (unit, integration, end-to-end) in a continuous deployment environment. Strong sense of ownership and a proven ability to deliver high-quality, finished products efficiently.
Excellent communication and collaboration skills, emphasizing team collaboration, knowledge-sharing, and delivering customer impact.

Workday Pay Transparency Statement

The 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.

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $148,000 USD - $222,000 USD

Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD

Our Approach to Flexible Work

With 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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday 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.

Workday 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.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At 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.

Please 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.

In 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.

About employer

More about this job

Skills

Software development
Workday
ML
Natural language processing
Business processes
Python
Kubernetes
Product comprehension
CI/CD
AWS
Microsoft Azure
Google Cloud
Docker
Computer science
Machine learning
PostgreSQL
Redis
API development
Communication skills
Collaboration

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