Jobs in the United States

25+ jobs

Save this search

Added 4 mins ago
Senior Field Engineer, Data Center Design and Engineering
Anthropic
Remote, United States
Anthropic's compute runs on a growing global portfolio of data centers built with development partners. As a Senior Field Engineer on the Data Center Design and Engineering team, you will…
Added 14 mins ago
Software Test Automation Engineer
GD Information Technology, Inc.
United States
GDIT is seeking a Software Test Automation Engineer to support a mission-critical software application within the NCE Testing Organization (NTO) in Springfield, Virginia.
Added 14 mins ago
Senior PostgreSQL Database Engineer
GD Information Technology, Inc.
United States
General Dynamics Information Technology (GDIT) is seeking a Senior PostgreSQL Database Engineer to support the operation, design, and continuous improvement of database capabilities for a…
Added 18 mins ago
AI enabled PDK Development Engineer
GLOBALFOUNDRIES U.S. INC.
NY
Analyze and correlate PEX and OPC outputs with silicon, process, metrology, electromagnetic, and simulation data as applicable, and contribute improvements to model and rule fidelity across…
Added 18 mins ago
AI enabled Device Modeling Engineer
GLOBALFOUNDRIES U.S. INC.
NY
GlobalFoundries is seeking a Level 6 AI-Enabled Device Modeling Engineer with strong artificial intelligence, machine-learning, and scientific-computing skills. The engineer will…
Added 18 mins ago
AI Enabled Device Modeling
GLOBALFOUNDRIES U.S. INC.
NY
…develop AI-enabled methods for semiconductor device modeling. The engineer will combine device physics, measured silicon data, simulation data, and modern AI/ML techniques to accelerate…
Added 31 mins ago
Senior Software Engineer
Humana Inc.
Chicago, IL · Louisville, KY · Charlotte, NC · Arlington, VA · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Atlanta, GA · NY · Nashville, TN · Boston, MA
The Senior Full Stack Engineer is a hands-on technical lead role. This role has broad scope across the full stack, including front-end, back-end, database, integrations, and hosting, for…
Added 58 mins ago
Analytics Engineer Intern
Workday
CA
As an Analytics Engineer Intern, you focus on high-quality technical execution, data curiosity, and rapid skill acquisition within the ED&A data transformation lifecycle. Operating under…
Added 1 hour ago
Software Engineer (Target Tracking) - ATL / Hybrid / Cherry Hill NJ
Lockheed Martin
Cherry Hill, NJ · Cherry Hill Township, NJ · Cherry Hill Township
ATL's Spectrum Systems Laboratory (SSL) is seeking a junior Software Engineer with a foundation in multi-target tracking, estimation theory, sensor/data fusion, signal processing, or…
Added 1 hour ago
Principal Hardware Engineer
Cisco
San Jose, CA
Bachelor’s degree in electrical engineering or computer engineering or computer science, with 15+ years of experience; master’s degree with 12+ years in electrical engineering or computer…
Added 1 hour ago
I
Sr. Software Engineer - Container Security
Illumio
Sunnyvale, CA
- $172,000 to $198,000 USD / year
- Bachelor’s in computer science or equivalent degree. Master’s degree a plus
Added 1 hour ago
I
Sr. Software Engineer - Cloud Security
Illumio
Sunnyvale, CA
- $172,000 to $198,000 USD / year
- You will be developing containerized (micro) services for a distributed multi-tenant system that process data and real time events and network telemetry from multiple public clouds to…
Added 1 hour ago
I
Staff Engineer - Cloud Security
Illumio
Sunnyvale, CA
- $196,000 to $235,000 USD / year
- You will be developing containerized (micro) services for a distributed multi-tenant system that process data and real time events and network telemetry from multiple public clouds to…
Added 1 hour ago
I
Staff Engineer - Container Security
Illumio
Sunnyvale, CA
- $196,000 to $235,000 USD / year
- Bachelor’s in computer science or equivalent degree. Master’s degree a plus
Added 1 hour ago
Data Engineer II, AWS Analytics Engineering
Amazon Development Center U.S., Inc.
Seattle, WA
We are seeking a talented Data Engineer to join our EC2 + EBS + Networking Product BI team. You will own end-to-end analytics for one or more Compute service areas - building and monitoring…
Added 1 hour ago
ML Engineer-Databricks
Jade Global, Inc
San Jose, CA
Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent field, with strong communication and cross-functional collaboration skills.
Added 1 hour ago
EI
Senior Software Engineer (PACS) - Full Time - Remote
Experity, Inc.
Remote, United States
- Full-time
Experity is seeking a Senior Software Engineer to help design, build, modernize, and support the OnePACS medical imaging platform. This role will have a primary focus on our C# desktop…
Added 1 hour ago
Operations AI and Advanced Analytics Engineer
INTL. N&H USA, INC.
United States
We are looking for our next Operations AI & Advanced Analytics Engineer within our Operations Data and Advanced Analytics Team. The Operations AI & Advanced Analytics Engineer will serve as…
Added 1 hour ago
PhD Intern, Security Engineer (2027)
Figma
CA • New York, NY
…secure and safe product to our users. As a PhD Intern, Security Engineer you will work on an impactful project to improve the security of Figma’s product, platform, or infrastructure,…
Added 1 hour ago
Software Development Engineer
Zoom Communications, Inc.
San Jose, CA
…Engineering team is central to that mission. As a Machine Learning Engineer, you will develop and enhance AI/ML algorithms and solutions that protect millions of users across the Zoom…
Added 1 hour ago
Senior Software Engineer II, Fullstack (AI)
LG Ad Solutions
Denver, CO · New York City, NY
We are seeking a talented and motivated Senior Software Engineer 2 (Full Stack) to join our Measurement and Reporting team. We enable our clients to visualize their impact across different…
Added 1 hour ago
Internship/Co-Op: Data Engineer
ASML US, LLC. (US01)
San Diego, CA
As a Data Engineer Co-Op at ASML, you will help develop data pipelines and data products that transform laser-machine and enterprise data into trusted, usable information.
Added 1 hour ago
PCB Manufacturing Engineer
Actalent
Lake Forest, CA
Analyze manufacturing data and process metrics to identify opportunities for process improvements, cost reductions, and productivity gains.
Added 1 hour ago
RU
Data Engineer
Randstad USA
Arlington, VA
- $48 to $52 USD / hour
Seeking an experienced Data Engineer to support enterprise data governance, integration, and analytics initiatives. This role combines hands-on pipeline engineering with metadata…
Added 1 hour ago
Senior Process Engineer
Applied Materials
Santa Clara, CA · Santa Clara
As a Process Engineer, you'll play a crucial role in designing and optimizing manufacturing processes for display and semiconductor manufacturing technologies. You will collect and analyze…

Workday, Inc.

Sr ML Software Development Engineer, Admin Central

CA, United States

Apply About employer

Applications open in a new tab.

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 Sr Software Development Engineer (ML/AI) on the Admin Central team, you will lead the technical design, development, and scaling of advanced ML pipelines, predictive analytics engines, and AI-driven recommendation features. Admin Central sits at the core of Workday's enterprise AI and automation strategy, serving over 700 customer accounts to handle ad hoc and ambient agentic requests through high-throughput analytics and agentic workflows.

In this role, you will bridge the gap between production-grade distributed software engineering and modern ML/LLM architectures. You will architect low-latency inference services, build automated feature stores and retraining pipelines over big data infrastructure (Kafka, Spark/Flink, ClickHouse, S3), and extend AI observability across agent execution loops using frameworks like LangSmith and LangChain.

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 in ML research, development, and implementation of advanced models/techniques, including 4+ years building, deploying, and operating production ML systems at scale.
5+ years in deep learning, NLP, and GenAI/LLM orchestration using frameworks like PyTorch, TensorFlow, Scikit-learn, LangChain, and LlamaIndex, plus 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.

Apply About employer

More about this job

Skills

ML
Software development
Workday
Apache Kafka
Apache Spark
LangChain
Machine learning
Microservices
Leadership
Data engineering
Regulatory compliance
Research
Deep learning
Natural language processing
PyTorch
TensorFlow
Scikit-learn
Oracle Java
Go
Scala
C++
Process data
Workflow
Data analysis
EDA
Kubeflow
Mlflow
Apache Airflow
Python
NumPy
Docker
Kubernetes
API development
CI/CD
Collaboration
Computer science
Statistics

Report this job