Senior Machine Learning Engineer (multiple positions available)

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Original Posting Date: 10/13/26 

Job Title: Senior Machine Learning Engineer (multiple positions available) 

Location: 3410 Hillview Ave., Palo Alto, CA 94304 

Work Model: Hybrid Work Model 

Purpose and Objective:   

SAP Labs, LLC seeks a Senior Machine Learning Engineer (multiple positions available) at our Palo Alto, CA location to design, develop, and optimize innovative machine learning algorithms tailored to customer requirements. .  

Expectations and Tasks:  

By staying updated on cutting-edge research and methodologies, the role drives the evolution of machine learning systems from design to deployment in production, supporting real-world applications. Provide machine learning algorithms tailored to meet customer requirements, ensuring performance, scalability, and robustness. Build and deploy large-scale machine learning systems that process massive datasets, train models, and provide valuable predictions or insights. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Develop and execute test strategies to evaluate and refine algorithms, ensuring their effectiveness in real-world environments. Stay up-to-date with industry trends, research advancements, and emerging methodologies in machine learning, integrating new techniques into the system design.  

Education and Occupational Experience:  

Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, Engineering, or a related field of study and six (6) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master’s degree or foreign equivalent in Computer Science, Information Technology, Engineering, or a related field of study and four (4) years of experience in the job offered or related occupation. 

Qualifications/Skills and Competencies Experience:  

Experience must include four (4) years involving each of the following:  

• Java, Spring Boot, Spring MVC, and TypeScript with Node.js, ExpressJS, or NestJS; 

• Frontend development with HTML, CSS, and JavaScript; 

• Angular, Vue.js, React, Redux, UI5 Web Components, or Bootstrap; 

• Test frameworks including JUnit or Karate for API testing, mock testing, performance testing, and unit testing; 

• UI testing frameworks including Chai, Mocha, and React Testing Library (RTL); 

• Software design and architecture, agile software development, design patterns, data structures, algorithms, and object-oriented design principles including SOLID; 

• Writing and drafting architecture documents and participating in Architecture Decision Record (ADR) reviews; 

• Designing and developing microservices or service-oriented architecture, including REST and RESTful API design, API integration, and use of Postman or Swagger/OpenAPI for API testing; 

• Feature-flag-driven development, including rollout of controlled and staged feature deliveries;  

• Database concepts including SQL, MySQL, relational schema design, and caching technologies including Redis; and 

• Source code versioning using Git or GitHub and CI/CD pipelines including Jenkins. 

Experience must involve two (2) years in the following: 

• Kibana, Docker, Kubernetes, AWS, Scrum/Agile methodologies, Jira/Confluence, SAP Crystal Reports, and fine-grained and coarse-grained access control. 

Travel: N/A.  

This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the SAP Internal Employee Referral Policy. 

Compensation Range Transparency: The annual base salary range for this position is $174,783 - $222,288. SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $174,783 - $252,600. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. 

All your information will be kept confidential according to EEO guidelines.

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Compensation Range Transparency
SAP believes pay transparency is essential to fostering an honest, supportive, and inclusive culture and is an important part of our commitment to pay equity. The salary range for this position is included in the job posting. The actual compensation offered to the successful candidate will fall within that range and will depend on factors such as education, skills, experience, location, and scope of the role, as determined through the selection process. Where applicable, SAP may also provide variable incentive opportunities and additional benefits, subject to the terms of the relevant plans and policies. Any variable incentive amount is target-based, with actual payouts dependent on company and individual performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

AI Usage in the Recruitment Process
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Please note that any violation of these guidelines may result in disqualification from the hiring process.