Jobs in the United States

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Added 7 mins ago
Principle Security Software Engineer, PKI and Secrets Management
General Motors LLC
Remote, United States
The Principle Security Software Engineer defines and leads Cyber Security strategy for new technology, highly complex features, or significant improvements for current, new, or major…
Added 9 mins ago
Software Development Engineer, Admin Central
Workday, Inc.
CA
As a Software Development Engineer on the Admin Central team, you will design, build, and maintain high-performance microservices and data pipelines that power Workday’s next-generation…
Added 9 mins ago
Software Development Engineer, Business Process Optimization
Workday, Inc.
CA
Software Development: Solid proficiency in Python, Java, Go, or Scala, with hands-on experience in Docker, Kubernetes, AWS infrastructure, and Apache Kafka or Spark pipelines.
Added 9 mins ago
Principal Machine Learning Engineer, Business Process Optimization
Workday, Inc.
CA
Technical Stack: Mastery of Python and the ML ecosystem (PyTorch, TensorFlow, LangChain, LangSmith, LlamaIndex, NumPy, Pandas, Scikit-learn), with strong experience deploying production…
Added 9 mins ago
Principal Full Stack Engineer - Agent Platform
Workday, Inc.
GA · CO
We are seeking to engineer the intelligent data backbone and verified trust systems that power Workday’s AI and Agents. This role will specifically be part of the Agent Trust and Inspection…
Added 14 mins ago
Senior Full-Stack Software Engineer
NVIDIA USA
WA · CA
…this progress. We’re looking for a Senior Full-Stack Software Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The AI Hub team accelerates AI research…
Added 18 mins ago
Applied AI Engineer
Apple
Cupertino, CA
We are looking for a software engineer who thrives at the intersection of data systems, AI tooling, and developer experience. You'll design and build platforms that connect AI to the deep…
Added 23 mins ago
C
Forward Deployed Engineer, Inference
Cohere
San Francisco, CA
- $265,000 to $325,000 USD / year
…enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work…
Added 25 mins ago
AWS Cloud Security Consultant (Application & AI Security)
Cleared IT Positions
Remote, United States
AWS Certified AI Practitioner or Machine Learning Engineer – Associate
Added 25 mins ago
Senior Infrastructure Engineer
Level
Austin, TX
- AWS Solutions Architect / DevOps Engineer – Professional certification
Added 26 mins ago
Platform Engineer
NALEJ
Arlington, VA
We're an AI-first startup, and we build that way. Every engineer works with AI agents every day, using context files, custom agents, and shared memory tuned to our platform. You'll work…
Added 26 mins ago
Senior Software Engineer
SeatGeek
Remote, United States
Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
Added 26 mins ago
Senior Software Engineer
SeatGeek
NY
Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
Added 27 mins ago
T
Senior Software Engineer
TEKsystems
Los Angeles, CA
- $107,500 to $161,300 USD / year
…our TGS Talent Acquisition Team requires:The Senior Software Engineer is a technical role responsible for designing, building, and maintaining cloud-based solutions and accelerators to…
Added 35 mins ago
Software Engineer-Mid
Iron EagleX Inc
United States
As a Software Engineer, you will design and maintain data-driven backend systems to provide secure, high-performance search and analytics capabilities, with a focus on supporting U.S.…
Added 40 mins ago
Software Engineer, Infrastructure
Databricks
Mountain View, CA
As a Software Engineer, Infrastructure, you will be a core technical contributor on the IT CorpEng Infrastructure team, owning and driving the evolution of our core infrastructure and…
Added 43 mins ago
AI/ML Engineer
Applied Materials, Inc
Santa Clara, CA
As an AI / Machine Learning Engineer, you’ll design, develop, and deploy production AI solutions across machine learning, deep learning, reinforcement learning, and AI agents. A key focus…
Added 51 mins ago
CI
Cloud Engineer (IMDS / MSM)
Citizant Inc
Montgomery, AL
- $113,000 to $117,000 USD / year
Join our team as an Integrated Maintenance Data System / Maintenance Scheduling Module (IMDS / MSM) Cloud Engineer dedicated to supporting the Air Force’s critical maintenance and readiness…
Added 51 mins ago
Associate Data Engineer
Capgemini
Pittsburg, AR
The Associate Data Engineer supports the design, development, testing, and maintenance of data integration solutions that enable reliable, scalable, and secure movement of data across…
Added 1 hour ago
Senior Staff DevOps Engineer, Remote
Palo Alto Networks
Boston, MA
Significant development experience with the following: Python, Groovy, Bash, PowerShell
Added 1 hour ago
AI Engineer Manager - Finance
Grant Thornton
Boston, MA
Programming: Python, SQL, or equivalent data languages
Added 1 hour ago
EG
Data Engineer
Eliassen Group
Boston, MA
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 1 hour ago
ST
Principal Agentic AI Engineering, VP - State Street Investment Management
SSGA Trust Company
Boston, MA
- $120,000 to $202,500 USD / year
Proficiency with modern AI platforms (e.g., Google Gemini Enterprise, AWS Bedrock) and programming languages (e.g., Python, SQL, Rust); familiarity with AI-assisted development tools (e.g.,…
Added 1 hour ago
Software Engineer - Entra ID
Rubrik Job Board
Palo Alto, CA
As a software engineer, you will be responsible for:
Added 1 hour ago
A
DevOps Engineer
AnaVation
Chantilly, VA
- $92,905.44 to $218,324.12 USD / year
AnaVation is seeking a highly skilled Senior DevOps Engineer to join our high-performing team supporting the design, build, maintain, and enhance Jenkins-based CI/CD pipelines using…

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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