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Chief Machine Learning Engineer
Chief Machine Learning EngineerSAP SE • Palo Alto, CA, United States
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Chief Machine Learning Engineer

Chief Machine Learning Engineer

SAP SE • Palo Alto, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

We are seeking a highly skilled and driven Chief Machine Learning Expert to design and deliver intelligent, distributed systems that power large‑scale AI and large language model (LLM) capabilities. In this role, you will shape cutting‑edge infrastructure, mentor world‑class engineers, and bring bold ideas from concept to production—driving meaningful impact across SAP’s global ecosystem.

Description

As a key member of our fast‑moving team, you will have the unique opportunity to define and execute the vision for AI and LLM‑based systems at scale. We are looking for someone with exceptional programming expertise, deep distributed systems knowledge, and the curiosity and grit to tackle complex, ambiguous challenges. You will work across a diverse technology stack, collaborate closely with engineers and product leaders, and help set the technical direction for AI initiatives.

Key Responsibilities

  • Architect, design, and implement production systems in Go, Java and Python.
  • Demonstrate expertise designing and scaling Generative AI platforms and applications, leveraging agentic frameworks and orchestration technologies such as LangGraph, MCP, or equivalent, to deliver enterprise‑grade AI solutions.
  • Deep knowledge of transformer architectures and machine‑learning lifecycles, with proven experience leading large‑scale batch inference pipelines on GPU clusters.
  • Extensive experience leveraging modern distributed technologies such as Kafka, PostgreSQL, SAP HANA, gRPC, AWS, Kubernetes, and Docker to build scalable, resilient, and high‑performance AI and data platforms.
  • Mentor and guide engineers from junior to senior levels, fostering technical excellence.
  • Partner with cross‑functional teams to translate business goals into scalable, high‑impact solutions.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Physics, or related field, with strong programming expertise.
  • 10+ years of software engineering experience, with a track record of delivering complex systems.
  • Proven ability to work independently and lead initiatives from idea to deployment.
  • Hands‑on experience with AI / ML and / or LLM systems in a production environment.
  • Expertise in distributed systems design and implementation.
  • Familiarity with CI / CD pipelines and modern development practices.
  • Strong English communication skills and ability to thrive in global, multicultural teams.
  • Preferred Qualifications

  • Open‑source contributions or significant personal technical projects.
  • Strong problem‑solving skills and an iterative, results‑oriented mindset.
  • Why Join Us

  • Build cutting‑edge AI and LLM systems used across SAP’s global platforms.
  • Work in a high‑autonomy, trust‑based environment without unnecessary bureaucracy.
  • Collaborate with some of the best engineers in the industry in a fast‑paced, impact‑driven team.
  • Take ownership of projects that directly influence SAP’s AI strategy and product capabilities.
  • Bring out your best. SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end‑to‑end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose‑driven and future‑focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

    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 : Careers@sap.com.

    Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

    Compensation Range Transparency

    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 274,300 – 609,200 (USD) USD. 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 this selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. For a summary of SAP benefits and eligibility requirements, please visit the SAP North America Benefits link.

    We are ethical and compliant

    Our leadership credo : Do what’s right. Make SAP better for generations to come . We believe that great leadership extends far beyond the mere pursuit of business goals. We value and foster leadership that is driven with purpose and integrity. Our leaders are role models who uphold SAP’s values and shape SAP’s culture of integrity, by demonstrating and championing ethical and compliant behavior toward all stakeholders.

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

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