about 4 hours ago
Base Salary
$161k - $189k/yr
Responsibilities
- Design, test, and productionize machine learning algorithms for enterprise applications.
- Research and develop foundation model architectures for specialized domains.
- Build and maintain ML infrastructure, pipelines, and backend services for model deployment.
- Integrate Generative AI capabilities into the Celonis platform.
- Process and analyze complex operational datasets to train predictive models.
- Implement engineering best practices for efficient and testable code.
- Collaborate with product managers, data engineers, and frontend developers.
Requirements
- Master's or Ph.D. in Computer Science, AI, Machine Learning, Mathematics, or a related field.
- 3+ years of experience in machine learning, deep learning, NLP, or AI.
- Practical experience with Generative AI technologies, including LLMs and RAG.
- Production-level experience in Python and frameworks like PyTorch or TensorFlow.
- Experience deploying models using Docker, Kubernetes, and cloud services.
- Proficiency in writing complex SQL queries and working with large datasets.
- Strong analytical and problem-solving skills, with excellent communication abilities.
Benefits
- Work with the global leader in Process Mining and AI-driven business operations.
- Receive Restricted Stock Units (RSUs) and merit-based refresh grants.
- Enjoy 24 weeks of fully paid parental leave for primary carers.
- Benefit from Unlimited PTO and a flexible hybrid work model.
- Access mentorship programs and a dedicated learning platform for skill development.
- Prioritize health with subsidized Wellhub memberships and mental health counseling.
- Participate in annual Impact Days for community and environmental volunteering.
- Engage in a mission-driven organization with core values that guide decisions.