Senior Machine Learning Engineer (multiple positions available)

SAP IT Business Systeme; Palo Alto (CA); Hybrid; USD 175,000 - 222,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Pay transparency

Job summary

SAP Labs, LLC in Palo Alto, CA seeks a Senior Machine Learning Engineer to design, develop, and optimize innovative ML algorithms tailored to customer requirements. You will build and deploy large-scale ML systems, train models, and provide valuable predictions, collaborating with cross-functional teams to translate business needs into data-driven solutions.

The role emphasizes staying current with ML research and applying new techniques to improve system design, performance, and robustness in

Qualifications

• Requires 4+ years in Java, Spring Boot, Spring MVC and TypeScript with Node.js, ExpressJS, or NestJS.
• Frontend frameworks: Angular, Vue.js, React, Redux, UI5 Web Components, or Bootstrap.
• Experience with API testing frameworks: JUnit, Karate; UI testing with Chai, Mocha, RTL.
• Strong software design, patterns, data structures, algorithms, and SOLID principles.
• Experience in REST/RESTful APIs, Postman/Swagger/OpenAPI for testing.
• Two years in Kibana, Docker, Kubernetes, AWS, Scrum/Agile, Jira/Confluence.

Responsibilities

• Design, develop, and optimize ML algorithms for customer requirements.
• Build and deploy large-scale ML systems handling massive datasets.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Develop test strategies to evaluate algorithms in production.
• Stay updated on ML research and incorporate new techniques into designs.

Skills

Java

Spring Boot

Spring MVC

TypeScript

Node.js

ExpressJS

NestJS

Angular

Vue.js

React

UI5 Web Components

Bootstrap

JUnit

Karate

Chai

Mocha

RTL

REST API

Postman

Swagger/OpenAPI

Git

GitHub

CI/CD

Jenkins

Kibana

Docker

Kubernetes

AWS

Education

Bachelor’s degree in Computer Science / IT / Engineering

Master’s degree in Computer Science / IT / Engineering

Tools

Jira

Confluence

Job description

Senior Machine Learning Engineer (multiple positions available)

• Full-time
• Compensation: USD 174,783 - USD 222,288 - yearly

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

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;
• 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.

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 towards 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.

About SAP

With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.

As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e‑mail with your request to Recruiting Operations Team: [e-mail]. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

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
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process.

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