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.

We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver world class applied AI solutions to millions of users. We solve real-world challenges faced by SAP’s global customers with scalable and robust AI-augmented user experiences. This position is at the forefront of innovation and ambitious AI roadmap of SAP Concur. This is a high-impact individual contributor role for someone who thrives in a fast-paced, data-driven environment, and has a passion for applied AI systems.

What you’ll build

- Explore, implement, experiment and evaluate the most recent LLMs and agentic frameworks in AI field for our use cases.
- Push the frontiers of scalable applied AI with real-world data and application.
- Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact.
- Help to ensure performance, reliability, and ongoing improvement of our model deliverables in continuous collaboration with development teams.

What you bring

- Proven hands-on experience with ML / deep learning frameworks, NLP, LLMs and agents.
- Strong track record in experimentation and evaluation of ML / AI models, LLMs and agents.




- Extensive experience with at least one major cloud platform, AWS preferred.
- Strong proficiency in Python and SQL.
- Demonstrated ability to drive decisions using a data-driven mindset.

Preferred Skills and Experience

- Experience with agentic systems and frameworks.
- Experience with LLM fine-tuning, distillation, retrieval-augmented generation (RAG) systems, grounding techniques.
- Experience with ML model / LLM deployment and productionization.

Where you belong

At SAP, you will collaborate across teams and geographies, sharing expertise and elevating Machine Learning engineering practices. You will act as a technical partner and lead by example, helping raise the quality and reliability of production of Machine Learning systems.

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.





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 CAD. 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. A summary of perks and eligibility requirements can be found by clicking this link:

Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

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.

Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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📌 Senior Machine Learning Scientist (Vancouver)
🏢 SAP
📍 Vancouver