Jobs in the United States

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Added 35 mins ago
Associate Software Engineer
The Boeing Company
Albuquerque, NM · El Segundo, CA
Experience with front end software for one or more of the following: control systems, embedded FPGA, low latency deterministic, operator interfaces, and/or control gimbals, ground antennas,…
Added 50 mins ago
Site Reliability Engineer 2 - Production Engineering
Anduril Industries
Seattle, WA
Familiarity with performance optimization and capacity planning for high-throughput, low-latency systems
Added 50 mins ago
Site Reliability Engineer 2 - Production Engineering
Anduril Industries
Costa Mesa, CA · Seattle, WA
Familiarity with performance optimization and capacity planning for high-throughput, low-latency systems
Added 1 hour ago
Senior Software Engineer (Backend)
Uber Freight
Frisco, TX
Build Scalable Backend Services: Design, develop, and maintain high-throughput, low-latency microservices and distributed systems using languages like Go, Java, Python, or C++.
Added 1 hour ago
UF
Senior Software Engineer (Backend)
Uber Freight
Chicago, IL
- $152,000 to $186,000 USD / year
Build Scalable Backend Services: Design, develop, and maintain high-throughput, low-latency microservices and distributed systems using languages like Go, Java, Python, or C++.
Added 2 hours ago
Sr ML Engineer, Admin Central
Workday, Inc.
CA
Low-Latency Inference & Scaling: Optimize real-time model inference and scoring microservices to ensure sub-second response times across high-concurrency multi-tenant environments.
Added 2 hours ago
Principal ML 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
M
Software Engineer - Database
MotherDuck
New York, NY
- $180,000 to $260,000 USD / year
- You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we…
Added 4 hours ago
RU
Java Developer - Senior
Randstad USA
Austin, TX
- $66.18 to $69.18 USD / hour
We are seeking a Senior Software Engineer to design, build, and operate high-throughput, low-latency, mission-critical platforms. This role focuses on Java-based API development,…
Added 5 hours ago
P
Java Developer - Senior
Procom
Austin, TX
- $72 USD / hour
We are seeking a Senior Software Engineer to design, build, and operate high-throughput, low-latency, mission-critical platforms. This role focuses on Java-based API development and…
Added 5 hours ago
DE
Senior Product Software Engineer
Disney Entertainment & Sports LLC
Seattle, WA
- $150,900 to $202,400 USD / year
Design, implement, test, deploy, and maintain solutions in a high-throughput, low-latency microservices environment
Added 6 hours ago
Senior Machine Learning Engineer, Fulfillment
Instacart
Remote, United States
Experience designing machine learning systems for large-scale, high-throughput, or low-latency applications.
Added 6 hours ago
Application Platform Cloud Solutions Engineer Vice President
Citigroup
Irving, TX
Architect Network Connectivity: Design and engineer robust, low-latency, and secure network connectivity that links on-prem applications with external ecosystems - including client…
Added 7 hours ago
S
Software Engineer - Trust & Platform Security
Snowflake
Bellevue, WA
- $160,000 to $230,000 USD / year
…you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test…
Added 7 hours ago
Sr. Full Stack Engineer
Fiserv
Berkeley Heights, NJ
Partner with Infrastructure teams to design relational schemas (MySQL), optimize data pipelines, and re-architect existing systems for high availability, fault tolerance, and low latency.
Added 12 hours ago
Software Engineer-Python
Insight Global
Chicago, IL
We are seeking a software engineer to design and build high-performance, distributed systems that process and analyze massive streams of trading data for regulatory surveillance. This role…
Added 21 hours ago
AE
Sr Software Engineer I - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
We are looking for a Senior Engineer I to help design, build and operate the enterprise integration and event-driven platforms that connect American Express systems at scale. This is a…
Added 1 day ago
O
Senior Platform Software Engineer
Oracle
Nashville, TN
- $87,800 to $209,500 USD / year
As a Senior Software Development Engineer (IC3), you will design, build, and operate core components of OCI’s streaming infrastructure, with a strong focus on scalability, resiliency, and…
Added 1 day ago
Java Engineer - Fixed Income Pricing and Analytics - Vice President
DB USA Core Corporation
NY
Design and build real-time, low-latency Java services supporting Rates and Credit pricing, axes, risk, and analytics workflows
Added 1 day ago
The Core Engineering- Software Engineering - Associate - New York
Campus
NY
…engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside…
Added 1 day ago
Staff Software Development Engineer – Wallet - Authentication
ID.me
Mountain View, CA
As a Staff Software Development Engineer (P5), you will be a backend and API technical anchor for this team. You will contribute to the architecture of the services, data models, and APIs…
Added 1 day ago
WI
Principal Software Engineer
Walmart Inc.
Sunnyvale, CA
- $255,653 to $286,000 USD / year
Duties: Drive the design, development, and deployment of complex, distributed enterprise applications using Java. Architect scalable and secure software systems, ensuring alignment with…
Added 1 day ago
Sr. Staff ML Infra Engineer - Offline Infra & Training
Coupang
United States
Experience in managing mission critical services with high throughput and low latency
Added 1 day ago
Principal Engineer, Amazon Leo, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved…
Added 1 day ago
M
Software Engineer II
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
We are looking for an engineer with a proven track record in delivering high-scale, low-latency services. This role operates at the nexus of AI FinOps Platform, Core Services, Modern…

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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