Jobs in the United States

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Added 15 mins ago
CX Machine Learning Engineer
Cisco Systems, Inc.
San Jose, CA
…machine learning lifecycle, you will own robust data pipelines, low-latency model serving, and LLMOps infrastructure while establishing rigorous automated evaluation and observability…
Added 27 mins ago
Senior Software Engineer, Infrastructure Engineering
Reddit
Remote, United States
…(iOS/Android/Web) to translate business and user needs into reliable, low-latency technical…
Added 36 mins ago
Application Platform Cloud Solutions Engineer Vice President
Citibank, N.A.
United States
Architect Network Connectivity: Design and engineer robust, low-latency, and secure network connectivity that links on-prem applications with external ecosystems - including client…
Added 55 mins ago
Software Development Engineer, Admin Central
Workday, Inc.
CA
Operational Monitoring: Monitor, triage, and resolve production issues to maintain high platform availability and low latency across global customer tenants.
Added 55 mins ago
Sr Software Development Engineer, Business Process Optimization
Workday, Inc.
CA
In this hands-on role, you will solve multi-petabyte-scale data challenges, build low-latency infrastructure backed by ClickHouse and big-data streaming pipelines (Kafka, Spark/Flink,…
Added 55 mins ago
Sr ML Engineer, Business Process Optimization
Workday, Inc.
CA
…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,…
Added 55 mins ago
Software Development Engineer, Business Process Optimization
Workday, Inc.
CA
…ClickHouse, S3), write clean, scalable services in Python, Java, Go, or Scala, and help extend distributed telemetry and tracing to AI agent execution paths. You will collaborate closely…
Added 55 mins ago
Principal Machine Learning Engineer, Business Process Optimization
Workday, Inc.
CA
…cloud-native tech. Architect multi-tenant runtimes that deliver fast, low-latency inference to millions of global…
Added 1 hour ago
Software Development Manager, AI Foundations, Amazon Leo AI Foundations
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Amazon Leo is Amazon's initiative to launch a constellation of low Earth orbit satellites to provide low-latency, high-speed broadband connectivity to unserved and underserved communities…
Added 2 hours ago
Sr. Software Engineer, Security Server Applications, Enterprise Technology Services
Apple
Sunnyvale, CA
6+ years of Experience with application design, development, and integration of high volume/low latency server applications
Added 2 hours ago
Software Development Manager, Leo AI Foundations, Amazon Leo AI Foundations
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Amazon Leo is Amazon's initiative to launch a constellation of low Earth orbit satellites to provide low-latency, high-speed broadband connectivity to unserved and underserved communities…
Added 2 hours ago
M
Senior Software Engineer - AI Infrastructure
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $119,800 to $261,000 USD / year
As a Senior Software Engineer, you will shape the future of one of the largest and fastest-growing services in Azure, foundational to Microsoft’s AI strategy. Our mission is to serve models…
Added 2 hours ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are looking for a talented Senior Software Engineer to join us in pushing the boundaries of technology for the Copilot experience. In this role, you will work on building highly scalable…
Added 3 hours ago
Principal Forward Deployed Engineer
Zuora
Foster City, CA
…Deployed Product Manager and, where scope requires, a second engineer. Our focus: building the future of agentic quote-to-cash, which means helping enterprises monetize AI-native and…
Added 3 hours ago
Software Engineer 6 - Feature Infrastructure
Netflix
United States
…serving of feature values for both high-throughput training and low-latency member-scale inference use…
Added 3 hours ago
Senior C++ Software Engineer - Algorithmic Trading
Edgehog Trading
Chicago, IL
Design, implement, and optimize low-latency C++ applications for trading strategy execution.
Added 4 hours ago
Junior Software Engineer
Priceline.com LLC
NY
Apply your programming skills towards building low latency and high throughput transactional services.
Added 4 hours ago
Software Engineer 6 - Feature Infrastructure
Netflix Services Canada ULC
Remote, United States
…serving of feature values for both high-throughput training and low-latency member-scale inference use…
Added 4 hours ago
Principal, Machine Learning Software Engineer, Admin Central
Workday, Inc.
CA
…cloud-native tech. Architect multi-tenant runtimes that deliver fast, low-latency inference to millions of global…
Added 4 hours ago
Sr ML Software Development Engineer, Admin Central
Workday, Inc.
CA
…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,…
Added 6 hours ago
Machine Learning Engineer- Inference Optimization | Experienced Hire
Susquehanna International Group, LLP
Bala Cynwyd (Philadelphia Area), PA
We are looking for a Machine Learning Engineer focused on low-latency inference optimization to help build, tune, and productionize high-performance model serving systems. This role sits at…
Added 6 hours ago
Software Engineer, Global Investment Research, Agentic Systems - Associate
Campus
Dallas, TX · NY
…that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside…
Added 6 hours ago
FG
Senior Software Engineer
Fitch Group
New York, NY
- $135,000 to $145,000 USD / year
Experience in optimized query patterns, pagination, caching, and schema design to ensure low-latency, performant reads at scale.
Added 7 hours ago
SDE-II, Supply Chain
Amazon.com Services LLC
Bellevue, WA
- Scalable Distributed Systems – Build highly available, low-latency services that process millions of decisions in real-time, powering the backbone of Amazon's transportation planning and…
Added 7 hours ago
Principal Engineer – Vice President
Citigroup
Irving, TX
Principal Java Engineer you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to mentor other engineers,

Workday, Inc.

Sr ML Software Development 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 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.

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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

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