Senior Machine Learning Engineer at Bumble developing scalable AI systems for personalized user interactions. Leading machine learning model development and deployment from exploration to production.
About the role
- Machine Learning Engineer creating innovative AI agents revolutionizing HR & Finance at Workday. Collaborating with cross-functional teams to integrate AI-driven solutions effectively.
Responsibilities
- Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
- Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
- Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation.
- Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
- Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations.
- Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack.
- Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.
Requirements
- 15+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale
- 5+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
- 7+ years of professional experience in building services to host machine learning models in production at scale
- 3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
- 7+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Benefits
- Workday Bonus Plan or role-specific commission/bonus
- Annual refresh stock grants
- Flexible work arrangements
- Professional development opportunities
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