Jobs in the United States

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Added 11 mins ago
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Senior Data Engineer
Zip Co Limited
United States
- $134,000 to $180,000 USD / year
As a Senior Data Engineer at Zip, you’ll build and operate the data foundation powering analytics, risk, finance, product, and critical business decisions across the organization.
Added 12 mins ago
Senior Machine Learning Engineer
Indeed
UNAVAILABLE, TX
As a Senior Machine Learning Engineer, you will work on developing, deploying predictive models and genAI capabilities that support various business functions. Your daily activities include…
Added 12 mins ago
Staff Data Engineer-GCP (Austin: On-Site)
HEB
Austin, TX
Responsibilities As a Staff Data Engineer, you'll use an advanced analytical, data-driven approach to drive a deep understanding of our fast-changing business and answer real world…
Added 12 mins ago
Senior Machine Learning Engineer
Checkr
Denver, CO · San Francisco, CA
We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering.
Added 28 mins ago
Senior Lead Software Engineer Cloud Platforms
JPMC page
Jersey City, NJ · Palo Alto, CA
As a Senior Lead Software Engineer, Cloud Platform at JPMorgan Chase within the Corporate Sector AI and Machine Learning Data Platforms team, you will play a key role in designing and…
Added 37 mins ago
DevOps Cloud Engineer - EviCore - Remote
The Cigna Group
United States
As a Senior DevOps Engineer, you will interact with various functional groups such as Engineering, QA, Infrastructure, Security, Product Owners, Client Service, and Operations to ensure our…
Added 56 mins ago
Senior Staff/Principal Engineer, Foundation Model Compute Infra
Apple
Cupertino, CA · Santa Clara, CA · Seattle, WA
As a Senior Staff/Principal Engineer on the Foundation Model Compute Infrastructure team, you will architect, build, and operate large-scale infrastructure powering foundation model…
Added 59 mins ago
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Senior AI Builder
Artera
Seattle, WA · Santa Barbara, CA · Kansas City, MO
- $162,000 to $220,000 USD / year
5+ years of professional software engineering, data science, machine learning,
Added 1 hour ago
Senior AI/ML Engineer
International Motors, LLC
Lisle, IL
The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This…
Added 1 hour ago
Senior Software Engineer
Onto Innovation Inc-US
United States
Apply machine learning, image processing, computer vision, mathematics, and optics to develop algorithms integrated into Onto inspection platforms.
Added 1 hour ago
Analyst Lead, Cybersecurity
FIS INC (OLD FIS)
United States
As a Senior Application Security Engineer in FIS Cybersecurity, you will be a hands-on technical leader in our Attack Surface Management function.
Added 1 hour ago
Senior Salesforce Engineer
Growth Acceleration Partners
Remote, United States
…in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while…
Added 1 hour ago
AI Engineer I
Health Network Laboratories LLC
Allentown, PA
The AI Engineer I supports the design, development, testing, deployment, monitoring, and ongoing improvement of AI and Automation solutions across the organization. Working under the…
Added 1 hour ago
Application Developer IV
Addgene
Watertown, MA
…the high-quality solutions we deliver. We are looking for a senior engineer who brings sound judgment to complex technical work, drives challenging initiatives forward while staying aligned…
Added 1 hour ago
Geospatial Data Systems Engineer (TS/SCI + Poly)
Aperio Global
McLean, VA
…data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable…
Added 1 hour ago
Senior Data Engineer (US)
Code and Theory
NY
As a Senior Data Engineer on our team, you’ll bring deep expertise and strong opinions to complex problems. You’ll lead technical workstreams, mentor others, and help define what great…
Added 1 hour ago
Jr. ML Developer
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…
Added 1 hour ago
AI Engineer
STV Incorporated
NY · Boston Congress St, MA
As an AI Engineer I, you will contribute to the design, configuration, development, testing, and deployment of AI-powered solutions built on Microsoft's AI and data ecosystem. Working under…
Added 1 hour ago
Senior Software Development Engineer, AWS Kubernetes (K8s)
Amazon Development Center U.S., Inc.
Santa Clara, CA
…service oriented architecture, networking, big data processing, machine learning, and artificial intelligence. We are looking for highly-motivated and passionate engineers to build next…
Added 1 hour ago
Databricks Subject Matter Expert
CGI Technologies and Solutions, Inc.
Dallas, TX
. Databricks Certified Data Engineer Professional or Machine Learning Professional certification.
Added 1 hour ago
Senior AI Software Engineer
CGI Technologies and Solutions, Inc.
Dallas, TX
CGI is growing rapidly, and we are seeking a Senior AI Software Engineer to join our Texas Business Unit. This is an opportunity to work with a close knit local team while leveraging CGI's…
Added 1 hour ago
AVP Senior AI ML Engineer
Bank OZK
Dallas, TX
General knowledge of machine learning fundamentals.
Added 1 hour ago
Sr. Marketing Data & GTM Engineer
Konica Minolta Business Solutions, U.S.A., Inc.
Ramsey, NJ
Added 2 hours ago
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SciTec Internship - Princeton 2027
SciTec
Princeton, NJ
- $24 to $26 USD / hour
Are you a talented software/computer engineer? Do you work well in an agile, collaborative team environment? Do you have a passion for developing software? Are you skilled in business…
Added 2 hours ago
UG
Associate Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
We are seeking an Associate Data Engineer to design, build, and maintain scalable data pipelines and storage solutions. In this role, you will collaborate closely with data scientists,…

Workday, Inc.

Software Development Engineer - Document Intelligence

CA, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

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.

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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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