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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.
About the Role
We are seeking a highly motivated Senior Machine Learning Engineer to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI. You will work across customer projects, strategic product development, and research initiatives making a real-world impact from day one.
This position is ideal for an experienced AI professional with a strong technical foundation, business acumen, and a passion for bridging research innovation with practical business applications. In this position, you will work on cutting-edge AI projects with direct customer impact.
What You Bring
Education & Experience
Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
5+ years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)
Technical Skills
What You Build
Collaborating with product & engineering leaders, executives, customers and other senior stakeholders, you will plan, direct, and deliver prototype and production grade AI solutions for strategic business problems.
Mathematical Modeling & Algorithm Design
Rapid Prototyping & Customer Engagement
AI Development & Research
Communication & Collaboration
Where you Belong
The Intelligence Team within Application AI is the team responsible for performing advanced R&D and AI application development for SAP Autonomous Suite. Our solutions work across SAP business applications to deliver on the company's autonomous enterprise promise. We are a group of globally distributed AI scientists and engineers that collaborate in a multidisciplinary environment with customers, product managers, and full-stack engineers. In this role, you will gain exposure to diverse problem domains no two projects are the same. We foster a culture of innovation where new ideas are encouraged and valued.
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: [Confidential Information].
For SAP employees: Only permanent roles are eligible for the , 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, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 450478 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Job ID: 152590419
Skills:
Machine Learning, data mining, Deep Learning, Tensorflow, MLops, Gcp, Pytorch, Databricks, Azure, Python, AWS, scikit-learn, data processing transformation tools, cloud environments, Optimization, big data infrastructures, CI CD for ML monitoring
Skills:
Computer Vision, Nlp, Machine Learning, Deep Learning, Representation learning, reinforcement learning, Multimodal foundation models, Large Language Models, Optimization, Generative modeling, Statistical Modeling
Skills:
snowflake , Github, Cursor, Deep Learning, Tensorflow, MLops, Pytorch, Spark, Gitlab, Azure, Python, AWS, LangChain, CrewAI, LLMOps, Claude, AI Cloud architectures, Autogen, Agentic AI, Code Codex, Agentic Coding Frameworks
Skills:
Java, S3, Hadoop, Spark, Python, AWS, Airflow, Starrocks, SparkML
Skills:
Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks