Jobs in the United States

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Added 1 day ago
Application Engineer - DevOps & Engineering Tools
RTX
Remote, United States
Experience deploying and managing server-based hosted COTS applications in an enterprise environment using on-prem and Cloud (AWS, Azure) infrastructure services (applications such as Jira,…
Added 1 day ago
Data Engineer, Product
Notion
San Francisco, CA
- Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional…
Added 1 day ago
UG
Lead AI/ML Engineer - Remote
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
6+ years of experience with Python/Java/JavaScript, including working knowledge of agent frameworks (e.g., LangGraph, LangChain, LlamaIndex, Semantic Kernel, or CrewAI)
Added 1 day ago
Full-stack Engineer 4
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 1 day ago
CW
Database and Application Support Engineer (Senior)
Computer World Services
Remote, United States
- $150,000 to $180,000 USD / year
Experience with Microsoft SQL Server, Oracle, PostgreSQL, MySQL, AWS relational database services, Azure SQL, or comparable platforms, including clustering, replication, and failover.
Added 1 day ago
CW
Database and Application Support Engineer (Journeyman)
Computer World Services
Remote, United States
- $130,000 to $160,000 USD / year
Experience with Microsoft SQL Server, Oracle, PostgreSQL, MySQL, AWS relational database services, Azure SQL, or comparable platforms, including clustering, replication, and failover.
Added 1 day ago
AI & Automation Lead - Product Development
General Electric Company
United States
Software & Cloud: Proficiency in scripting and programming (Python, Java, C++, SQL) and familiarity with modern development practices, including Git, CI/CD, automated testing,…
Added 1 day ago
Senior Software Engineer - AL/ML Platforms
NIKE, Inc.
Beaverton, OR
Programming experience with at least one modern language such as Java, Python, Golang
Added 1 day ago
Scrum Master III
IDEMIA National Security Solutions
Morgantown, WV
Experience with multiple programming languages (Java, C++, Python).
Added 1 day ago
Manager - Air Traffic Strategy Data
Employment Application
IL
This role leads the architecture of SWIM data ingestion, streaming interfaces, and data processing pipelines while establishing data standards, governance practices, and ensuring…
Added 1 day ago
M
Senior Cloud Systems Engineer
Markon
Chantilly, VA
- $180,000 to $215,000 USD / year
Develop, test, and maintain automation scripts and software components using Python, Java, TypeScript, and related technologies.
Added 1 day ago
Senior Staff Product Security Engineer | Product Security Incident Response Team (PSIRT)
ServiceNow
Remote, United States
Ability to read and comprehend Java and JavaScript code.
Added 1 day ago
Senior Staff Product Security Engineer | Product Security Incident Response Team (PSIRT)
ServiceNow
Remote, United States
Ability to read and comprehend Java and JavaScript code.
Added 1 day ago
Senior Staff Product Security Engineer | Product Security Incident Response Team (PSIRT)
ServiceNow
Remote, United States
Ability to read and comprehend Java and JavaScript code.
Added 1 day ago
AM Public-Dallas-Vice President-Security Engineering
Campus
Dallas, TX
Knowledge of secure coding languages (e.g., Python, Java, Go).
Added 1 day ago
Cleared Hybrid Data Engineer (5781)
SMX
Hanover, MD
Experience with cloud data warehouses such as Snowflake and AWS Redshift.
Added 1 day ago
W
Artificial Intelligence Machine Learning Skill Level 1
Wyetech
Annapolis Junction, MD
- $20 to $50 USD / hour
The ideal candidate will possess strong programming experience in Java, C, and C++, familiarity with TensorFlow, PyTorch, or Hugging Face, and experience deploying AI/ML models using AWS…
Added 1 day ago
I
Senior Developer
Inadev
Reston, VA
- $150,000 to $170,000 USD / year
The Senior Developer leads the design, development, deployment, and continuous improvement of scalable web applications and enterprise solutions. You will provide technical leadership…
Added 1 day ago
I
Senior Developer
Inadev
Reston, VA
- $150,000 to $170,000 USD / year
The Sr Developer leads the design, development, deployment, and continuous improvement of scalable web applications and enterprise solutions. You will provide technical leadership across…
Added 1 day ago
Spring 2027 Security Engineer Intern
The Nuclear Company
Washington, DC
Help identify and address security risks in applications, APIs, AWS workloads, and development pipelines.
Added 1 day ago
Principal, Machine Learning Software Engineer, Admin Central
Workday, Inc.
CA
Scalable ML Infrastructure: Build secure, high-throughput REST services and event-driven data pipelines using Python, AWS, and cloud-native tech. Architect multi-tenant runtimes that…
Added 1 day ago
Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate
JPMC page
Jersey City, NJ · Wilmington, DE
Proficiency in Python; familiarity with Java and front-end technologies (React.js, AngularJS).
Added 1 day ago
Java Backend & Microservices Applications Development Manager, Vice President
Citibank, N.A.
United States
We are seeking an experienced and visionary Java Backend Development Lead to spearhead the design, development, and deployment of our AI-powered platforms. The ideal candidate is a hands-on…
Added 1 day ago
AWS Informatica Engineer
Infosys
United States
Proven experience in AWS cloud services, including EMR, ECS, Glue, Redshift, SNS, SQS, Lambda, CloudWatch, and S3.
Added 1 day ago
Lead Solutions Architect
Aegon Asset Management
Cedar Rapids, IA
Software development experience in relevant programming languages (i.e. Spark, Java, Python, Scala, Node.js, SQL)

Workday, Inc.

Principal, Machine Learning Software Engineer, Admin Central

CA, United States

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Job details

Posting language: English
Posted: Oct 28, 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 Admin Central is building the future of how administrators work across Workday, turning a fragmented patchwork of tools and disconnected AI into a single, unified experience. Within Admin Central, Workday implementations move from being driven by human effort to being powered by intelligence designed into the platform. You’ll build mission-critical distributed systems, high-availability usage pipelines, new agentic functionality, and event-driven data flows across global product regions to ensure enterprise billing integrity at scale. If you're excited to build from scratch, move fast, and transform how thousands of admins work every day, come join us! About the Role

As a Principal Software Engineer (ML/AI) on the Admin Central team, you will lead the architecture and implementation of Workday’s next-generation AI platforms and autonomous agent frameworks. You’ll sit at the intersection of machine learning, event-driven data systems, and enterprise platform engineering - transforming cutting-edge AI research into production-ready, highly reliable systems handling tens of millions of daily requests for hundreds of enterprise tenants.

In this hands-on, high-impact role, you will design the ML infrastructure, multi-agent orchestration layers, and high-availability usage pipelines that power enterprise-grade decision-making, usage tracking, and automatic tenant maintenance.

Your Primary Focus:

Agentic AI & Orchestration: Design, implement, and maintain advanced agentic capabilities, including tool calling, multi-agent workflows, long-range planning, reasoning frameworks, and human-in-the-loop integrations.
Scalable ML Infrastructure: Build secure, high-throughput REST services and event-driven data pipelines using Python, AWS, and cloud-native tech. Architect multi-tenant runtimes that deliver fast, low-latency inference to millions of global users.
MLOps & Enterprise Reliability: Establish end-to-end MLOps standards - including CI/CD automation, observability, evaluation frameworks, model monitoring, and privacy/anonymization guardrails - ensuring systems are explainable, secure, and production-resilient.
Technical & Strategic Leadership: Partner closely with software engineers, Product Managers, Data Engineering, SRE, and Legal/Compliance stakeholders to turn ambiguous business needs into scalable technical designs and long-term data-governance strategies.

About You

Basic Qualifications

12+ years in ML development and R&D leadership, including 8+ years with advanced ML methodologies, distributed frameworks, and cloud-based platforms - designing complex, scalable, production-grade ML systems.
6+ years building and hosting scalable ML services, microservices, and high-throughput data pipelines in production using Java, Go, Scala, or Python.
4+ years working with LLMs, generative AI, RAG pipelines, and autonomous agent frameworks for real-world enterprise applications.

Other Qualifications

Data Processing & Pipelines: Expert in high-throughput streaming (Kafka), real-time feature extraction (Spark/Flink), and distributed columnar storage (ClickHouse, Iceberg) to architect large-scale ML pipelines.
AI/ML Expertise: Deep knowledge of deep learning, LLM orchestration, RAG, and agentic systems - applying ML algorithms and Model-Based Design (including MCP integrations and tool-use frameworks) to multi-agent coordination, intent classification, and workflow optimization.
Data Analysis & Feature Engineering: Proven ability to lead EDA on multi-tenant agentic workflows to shape data strategy, paired with mastery of high-dimensional embeddings, vector database management, and data isolation.
Model Lifecycle: Proven ability to lead model building, fine-tuning, and deployment of domain-specific foundation models - including Kubernetes/Docker deployment, automated CI/CD retraining, and managing drift/latency at scale.
Technical Stack: Mastery of Python and the ML ecosystem (PyTorch, TensorFlow, LangChain, LangSmith, LlamaIndex, NumPy, Pandas, Scikit-learn), with strong experience deploying production systems on PostgreSQL, Redis, Kafka, and cloud infrastructure (AWS/GCP/Azure).
Team Leadership: Exceptional collaboration and mentoring skills - technically leading cross-functional pods, driving sprint planning, and translating technical/governance decisions for executives.
Education: Bachelor's in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field (or equivalent experience); Master's or PhD strongly preferred.

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: $228,000 USD - $342,000 USD

Additional US Location(s) Base Pay Range: $190,600 USD - $342,000 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

Machine learning
Workday
ML
Research
Decision making
Python
AWS
Leadership
Data engineering
Regulatory compliance
Microservices
Oracle Java
Go
Scala
Process data
Apache Kafka
Apache Spark
Deep learning
Workflow
Data analysis
EDA
Kubernetes
Docker
CI/CD
PyTorch
TensorFlow
LangChain
NumPy
Scikit-learn
PostgreSQL
Redis
Google Cloud
Microsoft Azure
Team leadership
Collaboration
Coaching
Computer science
Statistics

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