1 day ago
Responsibilities
- Design, build, and improve ML-powered software products.
- Explore, analyze, and model large-scale textual data for prediction, classification, and decision-making.
- Develop and evaluate NLP and machine-learning models, including LLM and generative-AI techniques when relevant.
- Turn data analysis and experimentation into prototypes, production-ready code, and integrations with other services.
- Own quality, performance, evaluation, metrics, and ongoing data-driven improvement.
- Collaborate with product, engineering, and research partners.
Requirements
- 5+ years of experience as a machine-learning engineer, data scientist, software engineer, or in a related technical role.
- Strong Python skills and experience building, shipping, and maintaining production-grade code.
- Software-engineering fundamentals including clean APIs, testing, CI/CD, observability, and maintainable codebases.
- Practical experience with large-scale data, data modeling, and production systems supporting data-driven products.
- Familiarity with machine learning, deep learning, and NLP concepts.
- Hands-on experience with PyTorch, TensorFlow, or scikit-learn.
- Bachelor’s degree in Computer Science or a related field.
- Master’s degree and experience with GenAI and LLMs are preferred.
Benefits
- Hybrid work model requiring three days per week in the office and two days from home at the Israeli site.
- Flexible scheduling combining in-person collaboration with remote work.
- Career growth, learning, collaboration, and development support.
- Reasonable accommodations are available during the application process and for qualified individuals.
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About Workday
By unifying HR and Finance on an open, trusted platform powered by AI, Workday delivers high-impact outcomes our customers can count on. At the heart of our platform is Sana from Workday—the superintelligence that puts AI agents to work for you and your people. Welcome to a new work day.