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Senior Machine Learning Software Engineer
- Newport Beach, California, United States
- Newport Beach, California, United States
Über
Responsibilities
Contribute to the development of internal tools and libraries for LLM development and deployment.
Develop data pipelines for preprocessing, training, and evaluating language models.
Build, optimize, and maintain software solutions for automation and data management for training AI/ML models, especially large language models (LLMs).
Collaborate with data scientists and stakeholders and manage cross‑functional relationships to align infrastructure among teams.
Qualifications
PhD or Master’s degree in Computer Science or a related field.
5+ years of experience in software development for ML applications.
Expertise in LLM model training and data pipeline construction, optimization, and automation.
Exceptional verbal and written communication skills.
Key Skills and Competencies
Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow.
Experience with data processing automation for LLM training and evaluation.
Experience with distributed deep learning training on multi‑GPU systems is a plus.
Meet your team The ABAP Foundation Model team is pioneering AI innovations within the SAP ABAP ecosystem. It is an integral part of the Generative AI foundation within Business AI at SAP. By joining the team, you will help shape the future of AI at SAP and drive significant advancements.
Compensation The targeted combined annualized compensation range for this position is USD 120,800 – 253,800, inclusive of base salary and variable incentive target. The actual offer will depend on education, skills, experience, scope of the role, location, and other factors.
Equal Employment Opportunity SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. 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.
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Sprachkenntnisse
- English
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