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Added 1 hour ago
Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting
EY
New York, NY
Forward Deployed Engineer – Applied AI - Senior Manager - Financial Services
Added 1 hour ago
CTO, Anthropic Practice
EPAM Systems
New York, NY
Stay with the deal through negotiation and answer technical due diligence, security, and compliance questions
Added 6 hours ago
Principal Engineer & Technical Lead - Azure / Containers
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We are hiring a Principal Engineer and Technical Lead: a builder first, with deep architecture and enterprise design pattern experience behind every line of code. This person is the SVP of…
Added 7 hours ago
ASIC Failure Analysis Engineer (Onsite)
Cisco Systems, Inc.
San Jose, CA
As a Failure Analysis Engineer, you will be part of the Quality and Reliability group, performing failure analysis of ASIC products. Should have a passion for problem solving and a strong…
Added 10 hours ago
Senior Ellucian Technical and Integrations Engineer
State of Massachusetts
Boston, MA
Added 10 hours ago
2027 Signal Processing and Artificial Intelligence Engineer
The Aerospace Corporation
El Segundo, CA
The Aerospace Corporation is hiring a Signal Processing and Artificial Intelligence Engineer for the Communications Software Implementation Department within the Mission Payloads Division…
Added 11 hours ago
UG
Principal AI/ML Engineer Remote Nationwide or Office-Based in MN/DC/NJ
UnitedHealth Group
Eden Prairie, MN
- $164,600 to $282,200 USD / year
…agentic systems, retrieval-augmented generation (RAG), and applied machine learning. You will use LLM-assisted coding to accelerate the design and implementation of complex systems while…
Added 12 hours ago
Advanced Software Engineer
Relativity ODA LLC
IL
As an Advanced Software Engineer at Relativity, you will independently take features from design to production in our cloud-based SaaS platform, using AI both as a tool and as a product…
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Software Engineer III-ServiceNow
JPMC page
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Sr. AI Engineer
CalPrivate Bank
San Diego, CA · Brea, CA · El Segundo, CA · Newport Beach, CA
The Role: Sr. AI Engineer- Data Analytics & Artificial Intelligence
Added 13 hours ago
Sr. Application Security Engineer
Pax8, Inc
Remote, United States
🛡️ Senior Application Security Engineer | United States | Remote
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Sales Solutions Engineer - Ed Tech
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Senior HPC Architect / HPC Program Lead
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AI Security Engineer
MSI - (Marvell Semiconductor Inc.) US
Santa Clara, CA · Austin, TX
Background in detection engineering, security architecture, or security operations applied to AI contexts
Added 13 hours ago
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Principal Engineer - Security AI
Uber
Seattle, WA · Sunnyvale, CA
- $302,000 to $336,000 USD / year
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Added 14 hours ago
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Principal Platform Software Engineer - Oracle Health Data & Analytics
Oracle
United States
- $105,900 to $234,600 USD / year
…traditional workloads. Partnering with product management, applied science and multiple development teams, you will be responsible for building software systems and end-to-end delivery to…
Added 14 hours ago
Sr ML Engineer, Admin Central
Workday, Inc.
CA
Education: Bachelor's in Computer Science, Data Science, Machine Learning, Applied Mathematics, Statistics, or Engineering; Master's or PhD strongly preferred.
Added 14 hours ago
Professional Continuing Education Instructor (BUILDER) AFIT/CE - 1.3.16
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Added 14 hours ago
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Senior Manager, AI Enablement
Justworks
NY
- $188,000 to $242,000 USD / year
…more accessible across Justworks. You'll start with one senior engineer, help hire another, and build a collaborative environment where both can grow, learn from each other, and do their…
Added 14 hours ago
UG
Principal AI/ML Engineer Remote Nationwide or Office-Based in MN/DC/NJ
UnitedHealth Group
Eden Prairie, MN
- $164,600 to $282,200 USD / year
…agentic systems, retrieval-augmented generation (RAG), and applied machine learning. You will use LLM-assisted coding to accelerate the design and implementation of complex systems while…
Added 15 hours ago
Lead Space Systems Engineer
The MITRE Corporation
Chantilly, VA
…improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and…
Added 15 hours ago
Director of Applied Innovation - York, NE
Central Valley Ag Cooperative
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Lead, coach, and develop a team of two: an Applied Innovation Engineer and an Applied Innovation Analyst. Hire into the team as it grows.
Added 15 hours ago
Applied Innovation Engineer - York, NE
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York, NE
The Applied Innovation Engineer builds, deploys, and supports the custom business applications that Central Valley Ag runs on - products such as RouteForge and Gravis, the grower portal,…
Added 15 hours ago
Senior HPC Architect / HPC Program Lead
Applied Materials
Santa Clara, CA · Santa Clara
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 15 hours ago
SW
WATER RESOURCE CONTROL ENGINEER
State Water Resources Control Board
CA
- $6,488 to $12,152 USD / month
Note: This is a repost. If you have previously applied for this position, your application is being considered and you do not need to apply again.

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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