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Added 4 mins ago
Site Reliability Engineer
Highmark Health
Phoenix, AZ
…collaboratively with other IT, cybersecurity, facility, AI and application teams to resolve issues and to conduct root cause…
Added 4 mins ago
Senior Cyber Security Application Penetration Testing Engineer
Wells Fargo
CHANDLER, AZ
Wells Fargo are seeking a highly motivated and skilled Senior Cyber Security Application Penetration Testing Engineer to join our Technology Cybersecurity department. In this technical…
Added 4 mins ago
AI/Automation Engineer - Level 2 (Chandler) (AHT)
Northrop Grumman
Chandler, AZ
…pioneering spirit to our collaborative teams. As an AI / Automation Engineer – Level 2 or 3 in Chandler, AZ, you’ll be a key contributor to missions of national importance, helping define…
Added 4 mins ago
AI/Automation Engineer - Level 3/4 (Chandler) (AHT)
Northrop Grumman
Chandler, AZ
…pioneering spirit to our collaborative teams. As an AI / Automation Engineer – Level 3 or 4 in Chandler, AZ, you’ll be a key contributor to missions of national importance, helping define…
Added 5 mins ago
Google AI Architect
Deloitte
Tempe, AZ
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Added 5 mins ago
Senior Electronic Component Development Engineer (Supplier Quality)
Medtronic
Tempe, AZ
We anticipate the application window for this opening will close on - 13 Nov 2026
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Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Tempe, AZ · Gilbert, AZ
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients' critical cyber assets. In this role, you…
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Cyber Operate Manager - Identity Security Architect & Product Engineering
Deloitte
Tempe, AZ · Gilbert, AZ
Join Deloitte as a Lead Managed Services Engineer II and help design, engineer, and deploy identity security capabilities across enterprise environments. You will advance attack path…
Added 5 mins ago
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AI / Machine Learning Engineer
Actalent
Tucson, AZ
- $80 to $100 USD / hour
This AI / Machine Learning Engineer role focuses on designing, developing, and deploying advanced machine learning and deep learning solutions for EO/IR imagery and sensor exploitation. You…
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Confluent - Senior Security Engineer (Sr. AppSec)
IBM
TUCSON, AZ
As a Staff Application Security Engineer at Confluent, you will join a team of security architects and engineers responsible for shaping and advancing the application security strategy…
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Supplier Engineer III Senior - (TKM) (E3)
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Keep facilities running like clockwork. As a CBRE Mobile Engineer, you’ll handle hands-on maintenance and repairs across HVAC, building systems, and equipment. On the move and on point.…
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Senior Staff Software Engineer, Institutional Exchange
Coinbase
Phoenix, AZ
…markets with speed, depth, and trust. As a Senior Staff Software Engineer on the Exchange team, you'll set the architectural direction for the matching engine, order management, market…
Added 5 mins ago
Principal AV Behavior Safety Engineering Lead
General Motors
Phoenix, AZ
The AV Safety Strategy and Assurance team is seeking a hands‑on Principal engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from…
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Senior PDK Reliability Engineer
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Phoenix, AZ
- $173,660 to $284,580 USD / year
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AMHS Field Service Engineer I
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Phoenix, AZ
- $25 to $33 USD / hour
Job Title: Field Service Engineer I AMHS Sustaining TeamJob Description
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Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
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As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented…
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Platform Engineer (W2 ONLY And Pacific Hours)
TEKsystems
Phoenix, AZ
- $60 to $70 USD / hour
Our client is searching for a Platform Engineer for a 6-12 month contract position that can be worked remotely.
Added 5 mins ago
Tester (Remote)
GovCIO
Phoenix, AZ
GovCIO is currently hiring a Software Development Engineer in Test (SDET), Test Engineer, to join cross-functional product teams building and modernizing federal digital services on AWS…
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Principal Software Engineer
Lyric
Phoenix, AZ
The Principal Software Engineer is responsible for shaping the technical direction of our products and driving the overall engineering strategy for our flagship initiatives. The position…
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Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Phoenix, AZ
- $169,300 to $304,700 USD / year
As a Principal Software Engineer Lead, you will be responsible for:
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Sr. Systems Engineering Tools and Process Assurance Manager
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Phoenix, AZ
Work with the systems chief engineer to develop and achieve the strategic roadmap.
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Security Engineer
Meta
Phoenix, AZ
Conduct regular security assessments, specializing in mobile platform and application code
Added 6 mins ago
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Mobile Building Engineer
CBRE
Phoenix, AZ
- From $12 USD / hour
…decisions, and we ask that candidates disclose any use of AI in the application and interview…
Added 6 mins ago
Senior Property Condition Assessor
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…will be considered. Certification as either a Professional Engineer or Registered Architect…

Workday, Inc.

Sr ML Engineer, Admin Central

CA, United States

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Job details

Apply by: Nov 2, 2026
Posting language: English
Posted: Oct 30, 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 We are hiring Sr ML Engineers across two teams.

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.

The Business Process Optimize (BPO) team powers the underlying platform infrastructure. 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

Key Responsibilities

ML Infrastructure & Pipeline Engineering: Architect, deploy, and maintain end-to-end Machine Learning pipelines - from distributed data ingestion and feature engineering to model training, evaluation, and production deployment.
Agentic AI & Recommendation Engines: Design algorithms and LLM-driven recommendation features (e.g., IDD insights, next-best-action models) that optimize agentic workflows and tool usage.
Low-Latency Inference & Scaling: Optimize real-time model inference and scoring microservices to ensure sub-second response times across high-concurrency multi-tenant environments.
LLM & Agentic Observability: Integrate telemetry and tracing (OpenTelemetry, LangChain, LangSmith) into ML pipelines to track model performance, prompt/response drift, and execution efficiency.
Data & Feature Store Architecture: Collaborate with core backend engineers to leverage big data platforms (ClickHouse, Apache Iceberg, Spark) for high-dimensional feature retrieval and analytics.
Cross-Functional Leadership: Partner closely with Product Managers, Data Engineering, SRE, and Legal/Compliance to translate complex business and governance requirements into scalable ML solutions.

About You

Basic Qualifications

8+ years of experience in machine learning development, researching, developing, and implementing advanced machine learning models and techniques, with at least 4+ years focused explicitly on building, deploying, and operating production Machine Learning systems at scale.
5+ years of experience and proficiency in deep learning, natural language processing (NLP), and GenAI/LLM orchestration, utilizing frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, LangChain, and LlamaIndex, alongside proficiency in Java, Go, Scala, or C++ for high-performance backend systems.

Other Qualifications

Data Processing & Pipelines: Strong ability in distributed processing (Spark, Flink, Kafka) and high-throughput columnar/vector storage (ClickHouse, Pinecone, Milvus) to design robust ML data pipelines.
AI/ML Expertise: Solid knowledge of RAG architectures, LLM fine-tuning, intent classification, and recommendation engines - applying ML algorithms and Model-Based Design (including MCP tooling and structured agentic execution paths) to multi-agent orchestration, contextual reasoning, and workflow optimization.
Data Analysis & Feature Engineering: Experience leading EDA on multi-tenant execution logs to validate prompt/response accuracy and optimize tool usage, paired with strong feature engineering skills for vector embeddings, feature stores, and multi-tenant data isolation.
Model Lifecycle: Experience leading model building (foundation model adaptation, prompt engineering, fine-tuning, low-latency inference) and deep understanding of the model development lifecycle, including MLOps platforms (Kubeflow, MLflow, Airflow, SageMaker) for monitoring, latency tracking, and retraining at scale.
Technical Stack: Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, LangChain, LangSmith, DSPy), with experience deploying scalable ML systems in cloud-native production using Docker, Kubernetes, gRPC/REST APIs, and CI/CD under strict high-availability (99.9% uptime) and low-latency SLAs.
Team Collaboration: Strong ability to mentor team members, drive cross-functional technical alignment, draft system design specs/model cards, and communicate technical and governance decisions.
Education: Bachelor's in Computer Science, Data Science, Machine Learning, Applied Mathematics, Statistics, or Engineering; 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: $192,000 USD - $288,000 USD

Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 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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